matching – Suchprozesse am Arbeitsmarkt
Offene Stellen bei gleichzeitiger Arbeitslosigkeit - was Arbeitsmarkttheorien u. a. mit "unvollkommener Information" begründen, ist für Unternehmen und Arbeitsuchende oft nur schwer nachzuvollziehen: Unternehmen können freie Stellen nicht besetzen, trotzdem finden Arbeitsuchende nur schwer den passenden Job. Wie gestalten sich die Suchprozesse bei Unternehmen und Arbeitsuchenden, welche Konzessionen sind beide Seiten bereit einzugehen, wie lässt sich das "matching" verbessern?
Diese Infoplattform bietet wissenschaftliche Literatur zur theoretischen und empirischen Auseinandersetzung mit dem Thema.
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Literaturhinweis
Finding a job through social networks - Monetary and nonmonetary returns for employed and unemployed job seekers (2026)
Zitatform
Drasch, Katrin & Gerhard Krug (2026): Finding a job through social networks - Monetary and nonmonetary returns for employed and unemployed job seekers. (SocArXiv papers), 40 S. DOI:10.31235/osf.io/kz9e6_v1
Abstract
"This study examines the impact of job vacancy information obtained through personal contacts on monetary and nonmonetary job search outcomes. We hypothesise that the effects will be positive for both kinds of outcome, and that these effects may depend on employment status prior to finding a new job. Additionally, we hypothesise that information from professional personal contacts will lead to better job search outcomes than information from private personal contacts. We use panel data from the German Panel Study "Labour Market and Social Security" (PASS) and fixed effects regressions to test these hypotheses. Monetary outcomes are measured by wages and nonmonetary outcomes by job satisfaction. Overall, we find that the employed tend to benefit more than the unemployed. However, the specific pattern differs depending on whether vacancy information stems from personal or professional contacts and on the type of outcome (monetary or nonmonetary)." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Finding a job through social networks: monetary and nonmonetary returns for employed and unemployed job seekers (2026)
Zitatform
Drasch, Katrin & Gerhard Krug (2026): Finding a job through social networks: monetary and nonmonetary returns for employed and unemployed job seekers. In: European Societies, S. 1-28. DOI:10.1162/euso.a.106
Abstract
"This study examines the impact of job vacancy information obtained through personal contacts on monetary and nonmonetary job search outcomes. We hypothesise that the effects will be positive for both kinds of outcome, and that these effects may depend on employment status prior to finding a new job. Additionally, we hypothesise that information from professional personal contacts will lead to better job search outcomes than information from private personal contacts. We use panel data from the German Panel Study “Labour Market and Social Security” (PASS) and fixed effects regressions to test these hypotheses. Monetary outcomes are measured by wages and nonmonetary outcomes by job satisfaction. Overall, we find that the employed tend to benefit more than the unemployed. However, the specific pattern differs depending on whether vacancy information stems from personal or professional contacts and on the type of outcome (monetary or nonmonetary)." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Gender differences in job seekers’ access, activation, and returns to social capital (2026)
Zitatform
Krug, Gerhard (2026): Gender differences in job seekers’ access, activation, and returns to social capital. (SocArXiv papers), 23 S. DOI:10.31235/osf.io/sjym4_v1
Abstract
"Persistent gender inequalities in labor markets are often attributed to gendered differences in social capital and the use of social networks during job search. This study examines gender disparities in social capital among job seekers using eighteen waves of the German Panel Study Labour Market and Social Security (PASS) and a novel causal decomposition approach (Yu & Elwert 2025). We distinguish between access to social capital (available network resources), activation (received job search resources), and returns (outcomes such as wages, job satisfaction, and job interviews). While women in the general population have more limited access to weak ties and high-status contacts, these differences narrow substantially among active job seekers. Consistent with this pattern, women and men receive similar levels of network-based job search support. Crucially, we find no evidence of a gender-specific returns deficit in wages or job satisfaction and only limited evidence for job interviews. Overall, the findings suggest that gender inequalities in job search outcomes are not primarily driven by differential access to, activation of, or returns from social capital." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Machine learning for labor market matching (2026)
Zitatform
Mühlbauer, Sabrina & Enzo Weber (2026): Machine learning for labor market matching. In: Machine learning with applications, Jg. 23, 2026-02-03. DOI:10.1016/j.mlwa.2026.100861
Abstract
"This paper develops a large-scale machine learning framework to improve labor market matching using rich administrative data. Matching is defined as a job seeker entering employment in a specific occupational field. We exploit comprehensive employment biographies from Germany, covering individual characteristics and job-related information, to estimate employment probabilities across occupations and generate personalized job recommendations. The contribution lies in demonstrating why machine learning methods are particularly well suited for administrative labor market data and outperform traditional statistical approaches. We compare logit, ordinary least squares (OLS), k-nearest neighbors, and random forest (RF). RF consistently achieves the highest predictive performance. Its advantage is rooted in key methodological properties: RF builds an ensemble of decision trees trained on bootstrap samples, introduces random feature selection at each split, and aggregates predictions through majority voting. This enables RF to capture nonlinear relationships and complex interactions, remain robust in high-dimensional settings, and reduce overfitting — features that are particularly relevant for heterogeneous and imbalanced administrative data. Compared to conventional models, RF better exploits the full informational content of employment histories, especially when estimating on all employment spells rather than restricting the sample to unemployment-to-employment transitions. The sample comprises approximately 55 million spells, representing about 6 percent of the German workforce from 2012 to 2018. Our results suggest that ML-based matching, relative to standard statistical approaches, could hypothetically reduce the unemployment rate by up to 0.3 percentage points, highlighting the practical relevance of RF-based decision support for labor market policy." (Author's abstract, IAB-Doku, © Elsevier) ((en))
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Literaturhinweis
Older Worker’s Job Search Activities and Employment Transition (2026)
Zitatform
Yeo, Hyesu (2026): Older Worker’s Job Search Activities and Employment Transition. In: Research on Aging, Jg. 48, H. 1, S. 28-43. DOI:10.1177/01640275251343107
Abstract
"This study investigated job search patterns among American older workers. Data from the 2016-2018 Health and Retirement Study included 1501 individuals aged 50+ who were looking for jobs in 2016. Latent Class Analysis (LCA) was conducted to identify job search patterns based on nine types of job search activities. Multinomial logistic regression was then used to examine membership in each class. Five job search patterns emerged from the LCA analysis, including No Ads, Ads only, Friends & Ads, Phone & Ads, and Agencies & Ads. Employment transitions were related to job search patterns. Unemployed older workers, despite utilizing more diverse job search methods, were less likely to secure new jobs compared to their employed peers. These findings highlight the need for workforce development programs to focus on workplace skill-building training and educational opportunities before becoming unemployed and age-friendly workforce development tailored to older workers with low-skilled and low income." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Women use Social Networks for Job Search more often than Men, but Men use them more intensely (2026)
Zitatform
Zimmermann, Florian & Matthias Collischon (2026): Women use Social Networks for Job Search more often than Men, but Men use them more intensely. In: Economics Letters, Jg. 259, 2025-12-18. DOI:10.1016/j.econlet.2025.112795
Abstract
"Research has long highlighted the role of social capital for labor market outcomes, but gendered processes received surprisingly little attention. Employing representative German survey data, we analyze differences in job search via social networks. Contrary to expectations, we find that women report using social networks more often at the extensive margin compared to men, but men are more likely utilize networks in ways requiring more effort, such as being introduced to employers. Thus, we highlight the importance of investigating social networks in detail to understand the role of social networks for generating or sustaining gender inequalities in the labor market." (Author's abstract, IAB-Doku, © 2025 The Author(s). Published by Elsevier B.V.) ((en))
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Literaturhinweis
Männer nutzen persönliche Netzwerke zur Jobsuche etwas häufiger und gezielter als Frauen (2026)
Zitatform
Zimmermann, Florian & Matthias Collischon (2026): Männer nutzen persönliche Netzwerke zur Jobsuche etwas häufiger und gezielter als Frauen. In: IAB-Forum H. 18.05.2026. DOI:10.48720/IAB.FOO.20260518.01
Abstract
"Kontakte zu Verwandten und Bekannten spielen bei der Jobsuche sowohl für Männer als auch für Frauen eine wichtige Rolle. Dies zeigt eine IAB-Befragung von Personen, die innerhalb von vier Wochen vor der Befragung eine neue Stelle gesucht hatten. Allerdings werden Frauen deutlich seltener als Männer einem Arbeitgeber vorgestellt oder empfohlen." (Autorenreferat, IAB-Doku)
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Literaturhinweis
How did you find your job? Effects of the job search channels on labour market outcomes in Germany (2025)
Zitatform
Afonina, Mariya & Anna Zaharieva (2025): How did you find your job? Effects of the job search channels on labour market outcomes in Germany. In: Verein für Socialpolitik (Hrsg.) (2025): Revival of Industrial Policy. Beiträge zur Jahrestagung des Vereins für Socialpolitik 2025.
Abstract
"We study the effect of finding a job through one’s social contact on starting wages. Using combined SOEP-INKAR data for Germany and propensity score analysis - both matching and weighting - we document that referral hiring is associated with a wage penalty of 10%. This penalty is stable over time. Separating by the type of the social contact, we find that referrals from former colleagues are associated with a 9% wage premium compared to a direct formal application. In contrast, referrals from friends are associated with a 7% wage penalty. Our results highlight persistent self-selection of workers on observable and unobservable characteristics. Using information from a short test of cognitive abilities (symbol digit test) we document that workers recommended by former colleagues perform best in the ability test, consistent with the predictions from a sorting model. The lowest performance is recorded for those relying on the help of their friends. The effects are primarily driven by the sub-sample of women. No significant differences across search channels are found for personality traits." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Auszubildende über Social Media finden (2025)
Arndt, Franziska; Herzer, Philip; Risius, Paula;Zitatform
Arndt, Franziska, Philip Herzer & Paula Risius (2025): Auszubildende über Social Media finden. (KOFA kompakt / Kompetenzzentrum Fachkräftesicherung 2025,01), Köln, 6 S.
Abstract
"Die Lage am Ausbildungsmarkt ist angespannt: Viele Unternehmen können ihre Ausbildungsplätze nicht besetzen, während gleichzeitig zahlreiche Jugendliche ohne Ausbildungsplatz bleiben. Um diese Passungsprobleme zu überwinden, ist es wichtig, dass Unternehmen ihre Ausbildungsplätze dort bewerben, wo Jugendliche suchen. Besonders wichtig sind für Jugendliche Online-Stellenanzeigen und die Vermittlungsangebote der Bundesagentur für Arbeit. An dritter Stelle stehen Social-Media-Kanäle. Die passgenaue Auswahl von Social-Media-Kanälen und -Inhalten kann Unternehmen somit näher an Jugendliche bringen. Doch: Während Jugendliche vor allem über Instagram, YouTube und WhatsApp suchen, nutzen Unternehmen neben Instagram eher Facebook, LinkedIn und Xing. Gerade Facebook ist für Jugendliche jedoch kaum relevant. Die direkte Ansprache von Jugendlichen mit Haupt- und Realschulabschluss bietet besonders großes Potenzial, denn es zeigt sich, dass Haupt- und Realschüler:innen anders suchen als Abiturient:innen: Haupt- und Realschüler:innen nutzen neben Online-Stellenanzeigen besonders analoge Formate. In den sozialen Medien nutzen sie vorwiegend Instagram, WhatsApp und YouTube." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Firm Pay and Worker Search (2025)
Caldwell, Sydnee; Haegele, Ingrid; Heining, Jörg;Zitatform
Caldwell, Sydnee, Ingrid Haegele & Jörg Heining (2025): Firm Pay and Worker Search. (IAB-Discussion Paper 04/2025), Nürnberg, 141 S. DOI:10.48720/IAB.DP.2504
Abstract
"Ob und wie Arbeitnehmer am Arbeitsplatz suchen, hängt von ihren Vorstellungen über die Bezahlung und die Arbeitsbedingungen in anderen Unternehmen ab. Dennoch ist wenig darüber bekannt, wie viel Arbeitnehmer tatsächlich über die Arbeitsentgelte außerhalb ihrer aktuellen Beschäftigung Bescheid wissen. Wir nutzen eine groß angelegte Umfrage unter deutschen Vollzeitbeschäftigten, welche mit Sozialversicherungsdaten verknüpft wurde, um Gehaltserwartungen und Präferenzen gegenüber bestimmten externen Unternehmen zu ermitteln. Arbeitnehmer glauben, dass sie mit erheblicher Heterogenität hinsichtlich der Vergütung bei anderen Unternehmen konfrontiert sind und richten ihre Suche nach einem neuen Arbeitsplatz auf Unternehmen aus, von denen sie ausgehen, dass diese mehr bezahlen. Die von den Arbeitnehmern erwarteten unternehmensspezifischen Lohnaufschläge korrelieren sowohl stark mit den Vergütungsschemata, die sich anhand von administrativen Daten zeigen, als auch mit der Würdigung von firmenspezifischer Annehmlichkeiten. Die meisten Arbeiter sind auch bei einer erheblichen Erhöhung des Gehalts nicht bereit, sich einen neuen Job zu suchen – oder ihr derzeitiges Unternehmen zu verlassen. Die Kosten eines Jobwechsel betragen zwischen 7 und 18 Prozent des Jahreslohns eines Arbeitnehmers. Die Zugehörigkeit zu einem Arbeitgeber variiert je nach Arbeitgeber und kann nicht anhand von Unterschieden in firmenspezifischen Annehmlichkeiten oder den Kosten des Jobwechsels erklärt werden." (Autorenreferat, IAB-Doku)
Beteiligte aus dem IAB
Heining, Jörg; -
Literaturhinweis
This time it’s different – Generative artificial intelligence and occupational choice (2025)
Zitatform
Goller, Daniel, Christian Gschwendt & Stefan C. Wolter (2025): This time it’s different – Generative artificial intelligence and occupational choice. In: Labour Economics, Jg. 95. DOI:10.1016/j.labeco.2025.102746
Abstract
"We show the causal influence of the launch of generative artificial intelligence (AI) in the form of ChatGPT on the search behavior of young people for apprenticeship vacancies. To estimate the short- and medium-term effects, we use a variety of methods, including a difference-in-discontinuity approach exploiting the exogenous nature of the unanticipated launch of ChatGPT in 2022. There is a strong short- and medium-term decline in the intensity of searches for vacancies, indicating a notable reduction in the supply of young people actively seeking apprenticeships and suggesting great uncertainty among the affected cohort. Occupations with a high proportion of cognitive tasks and with high demands on language skills were particularly affected by the decline. Interestingly, the revealed preferences in the search behavior of young job seekers contrasted with previous expert assessments on the automation risks of occupations and aligned with the most recent assessments of the AI and language model exposure of occupations – before these new assessments existed. Notably, while the supply decline did not reduce the number of signed apprenticeship contracts, we find evidence of declining applicant quality, particularly for commercial employees, the most widely offered apprenticeship in Switzerland." (Author's abstract, IAB-Doku, © 2025 The Authors. Published by Elsevier B.V.) ((en))
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Literaturhinweis
What makes a good place to work? The effect of internal corporate social responsibility on word-of-mouth for employers (2025)
Zitatform
Mutter, Anna, Jasmin Afrahi & Thomas Armbrüster (2025): What makes a good place to work? The effect of internal corporate social responsibility on word-of-mouth for employers. In: The International Journal of Human Resource Management, Jg. 36, H. 11, S. 1807-1833. DOI:10.1080/09585192.2025.2534339
Abstract
"Word-of-mouth for employers (WOME; i.e., employees talking positively about their employer organization) is a valuable corporate means of recruitment in times of employee shortage and war for talent. However, research on the determinants of WOME is fragmented, and the identification of success factors is incomplete. Based on research on word-of-mouth mechanisms and social exchange theory, which explains exchange relationships between sender and receiver, we elaborate on a model of WOME that comprises classic and emerging factors of workplace attractiveness (monetary compensation, work environment, and workplace fun) and internal corporate social responsibility (ICSR). We hypothesize that ICSR exhibits the greatest explanatory power for WOME. We tested our assumption with a data set of 132,995 participants from 13 industrial sectors in Germany and ran a multiple linear regression analysis with four independent variables and WOME as the dependent variable. ICSR proved to have the greatest effect on WOME, which we consider a result of employees’ interest in a fair exchange relationship with their employers, followed by workplace fun, the work environment, and monetary compensation. We discuss the results in terms of the above-mentioned theories and point out directions for future research as well as practical implications." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
A Tale of Two Job Searches: An Integrative Review of How Job Seeker Characteristics Shape Informal Job Search Effectiveness (2025)
Porter, Caitlin M. ; Du, Juan; Solanelles, Pol ; Pearson, Ashley Howell ; Cullen‐Lester, Kristin L. ;Zitatform
Porter, Caitlin M., Pol Solanelles, Kristin L. Cullen‐Lester, Ashley Howell Pearson & Juan Du (2025): A Tale of Two Job Searches: An Integrative Review of How Job Seeker Characteristics Shape Informal Job Search Effectiveness. In: Journal of organizational behavior, S. 1-25. DOI:10.1002/job.2864
Abstract
"Informal job search—the use of personal and professional networks for job search—is a popular job search method. Yet, answers to the questions of whether informal job search is effective (relative to formal job search) and why have not been clearly articulated, hindering research progress and limiting practical recommendations for job seekers and institutions. We endeavored to address these questions via an integrative, interdisciplinary review of how job search methods (i.e., formal vs. informal) and forms of social capital (i.e., types of contacts and tie strength) relate to job search outcomes (i.e., finding a job vs. finding quality employment), and we summarize evidence for the role of job seeker characteristics as key contingencies on this process. In doing so, we uncover “a tale of two job searches,” wherein informal job search effectiveness is dependent upon job seeker characteristics that impart status within the labor market and/or society. Collectively, our review provides much-needed clarity regarding whether an informal job search is better than a formal job search and why , revealing that answers to these questions depend on who is searching for a job. Considering these insights, we outline an agenda for future research focused on enhancing job seekers' access to social networks and integrating job search and social network perspectives to extend knowledge of how different types of job seekers can more effectively utilize their networks for job search." (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons) ((en))
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Literaturhinweis
Expectation vs. reality: How stereotypes and expectation disconfirmation affect job evaluations in online labor markets (2025)
Zitatform
Tran Nhat, Diana & Timm Teubner (2025): Expectation vs. reality: How stereotypes and expectation disconfirmation affect job evaluations in online labor markets. In: PLoS ONE, Jg. 20, H. 11. DOI:10.1371/journal.pone.0334630
Abstract
"In online labor markets, reputation determines both job opportunities and pay and even small disparities can translate into significant economic differences. While gender-related bias in reputational metrics such as likes, reviews, and ratings has been empirically documented, the mechanisms through which they arise remain insufficiently understood. This study presents results from an online experiment, varying workers’ gender, domain, and performance, to investigate how expectations about workers are formed and how they affect subsequent evaluations. Drawing on Expectation Disconfirmation Theory and Role Congruity Theory, we test whether the effect of disconfirmation (i.e., discrepancies between expected and actual performance) on evaluations varies with congruity (i.e., stereotypical fit between gender and domain). Contrary to our hypothesis, workers in congruent settings do not elicit higher expectations than those in incongruent roles. Similarly, the effect of positive and negative disconfirmation does not vary with congruity. However, exploratory analyses suggest that congruity does affect expectations and evaluations when individuals hold strong gender-domain associations. In case of stereotypical associations, individuals expect higher performance of workers in congruent domains and evaluate them more leniently if they fail to meet expectations. Our findings contribute to understanding why identical performances might be judged differently depending on gender-domain associations, expectations, and disconfirmation." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Vom Mismatch zum Match: Wie sich Jugendliche und Unternehmen auf dem Ausbildungsmarkt suchen und finden (können): Eine kombinierte Jugend- und Unternehmensbefragung (2024)
Arndt, Franziska; Risius, Paula; Schaffer, Fabian; Herzer, Philip; Werner, Dirk; Wieland, Clemens; Renk, Helen;Zitatform
Arndt, Franziska, Philip Herzer, Paula Risius, Dirk Werner, Helen Renk, Fabian Schaffer & Clemens Wieland (2024): Vom Mismatch zum Match: Wie sich Jugendliche und Unternehmen auf dem Ausbildungsmarkt suchen und finden (können). Eine kombinierte Jugend- und Unternehmensbefragung. Gütersloh, 43 S. DOI:10.11586/2024103
Abstract
"Immer mehr Ausbildungsplätze in Deutschland bleiben unbesetzt, gleichzeitig gehen viele Bewerber:innen auf dem Ausbildungsmarkt leer aus. Was sind die Gründe? Liegt es vielleicht auch daran, dass die Suchprofile und -strategien der Unternehmen und der ausbildungsinteressierten jungen Menschen nicht zusammenpassen? Mit anderen Worten: Wo und wie platzieren Unternehmen ihr Angebot und passt das zu dem Suchverhalten von Jugendlichen? Die gemeinsame Studie des Instituts der deutschen Wirtschaft Köln und der Bertelsmann Stiftung stellt die Perspektiven von Ausbildungsbetrieben und jungen Menschen einander gegenüber. Beide Seiten sind sich zwar grundsätzlich über den hohen Stellenwert einer Berufsausbildung als gute Karrieregrundlage einig und nutzen insbesondere Online-Stellenausschreibungen, die Bundesagentur für Arbeit und Social Media Kanäle zur Suche nach Ausbildungsplätzen bzw. Bewerber:innen – im Detail zeigen sich jedoch einige entscheidende Unterschiede im Kommunikations- und Informationsverhalten." (Autorenreferat, IAB-Doku)
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Literaturhinweis
How workers and firms meet in the labor market and why it matters (2024)
Zitatform
Carillo-Tudela, Carlos, Leo Kaas & Benjamin Lochner (2024): How workers and firms meet in the labor market and why it matters. (VoxEU columns / Centre for Economic Policy Research), London, o. Sz.
Abstract
"Most firms match with workers through job postings, networks of personal contacts, or the public employment agency. This column investigates the effects of search channels on labor market outcomes in Germany. Low-wage firms and low-wage workers are more likely to match via networks or the public agency, while high-wage firms and high-wage workers succeed more often via job postings. Because search channels connect workers and firms at different rungs of the wage distribution, matching technologies matter not only for individual job search outcomes, but also for aggregate employment, productivity, and wage inequality." (Author's abstract, IAB-Doku, © VOXEU) ((en))
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Literaturhinweis
Life-Cycle Worker Flows and Cross-Country Differences in Aggregate Employment (2024)
Zitatform
Créchet, Jonathan, Etienne Lalé & Linas Tarasonis (2024): Life-Cycle Worker Flows and Cross-Country Differences in Aggregate Employment. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 16878), Bonn, 71 S.
Abstract
"Cross-country employment differences are concentrated among women, the youth, and older individuals. In this paper, we document how worker flows between employment, unemployment, and out of the labor force vary by gender and age and contribute to aggregate employment differences across a large panel of European countries. We then build a life-cycle Diamond-Mortensen-Pissarides model capturing the salient features of our data. Key elements of the model are an extensive margin (i.e., labor force participation) and intensive margin (i.e., variable intensity) of search effort. The model attributes a major role to the production technology in driving differences in aggregate employment, while labor-market policies play a minor role. Search effort substantially amplifies the effects of technology across gender and age groups and is a prominent proximate cause of the cross-country variation in aggregate employment." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
"New Plan", berufliche Weiterentwicklung und die Rolle von Informationen (2024)
Zitatform
Dohmen, Thomas, Eva Kleifgen, Steffen Künn & Gesine Stephan (2024): "New Plan", berufliche Weiterentwicklung und die Rolle von Informationen. (IAB-Forschungsbericht 01/2024), Nürnberg, 33 S. DOI:10.48720/IAB.FB.2401
Abstract
"In der sich wandelnden Arbeitswelt reicht es in der Regel nicht mehr aus, einmal im Leben einen Beruf zu erlernen. Oft ist im bisherigen Beruf eine Weiterentwicklung sinnvoll oder sogar erforderlich; eventuelle Berufswechsel erfordern dann häufig den Erwerb neuer Kenntnisse und Fähigkeiten. Um die Chancen und Herausforderungen einschätzen zu können, ist eine gute Informationsbasis erforderlich. Die Bundesagentur für Arbeit (BA) hat im Rahmen ihrer Berufsberatung im Erwerbsleben (BBiE) das Online-Tool New Plan entwickelt. Dieses soll Menschen dabei helfen im Beruf voranzukommen, die eigenen Stärken zu erkennen und neue Perspektiven zu finden. Das Tool besteht aus drei Bereichen: „Möglichkeiten testen“, „Inspirieren lassen“, „Weiterbildung suchen“. Der Bereich „Inspirieren“ stellt dabei auf Berufsebene umfassende Informationen für eine mögliche berufliche Umorientierung zur Verfügung. Dieser Forschungsbericht stellt Ergebnisse aus einer Online-Befragung von Beschäftigten und Personen, die Arbeitslosengeld bezogen, vor. Die Befragung hat unter anderem erhoben, ob Personen New Plan kannten und nutzten, an beruflicher Weiterentwicklung interessiert waren und sich gut über ihre Verdienst- und Beschäftigungsmöglichkeiten informiert fühlten. Der Bericht geht zudem der Frage nach, ob Personen diese Fragen anders beantworteten, wenn sie zuvor ein Informationsschreiben zu New Plan erhalten hatten. Zu der Befragung wurden im Juni 2022 Personen eingeladen, die im Januar 2022 zu einer der folgenden vier Gruppen gehörten: sozialversicherungspflichtig Vollzeitbeschäftigte (einschließlich Personen in Helfertätigkeiten), sozialversicherungspflichtig Vollzeitbeschäftigte in Helfertätigkeiten, Arbeitslosengeldempfänger*innen (einschließlich Personen ohne Berufsabschluss), Arbeitslosengeldempfänger*innen ohne Berufsabschluss. Insgesamt umfasst das hier ausgewertete Analysesample gut 4.400 Personen. Im Ergebnis zeigt sich, dass New Plan den Vollzeitbeschäftigten im Schnitt deutlich seltener bekannt war als den Personen, die zum damaligen Zeitpunkt bzw. davor Arbeitslosengeld bezogen hatten – ohne vorheriges Informationsschreiben betrugen die Anteile rund 2 bzw. 11 Prozent. Der Bekanntheitsgrad von New Plan stieg deutlich, wenn Personen zuvor ein Informationsschreiben erhalten hatten – bei den Vollzeitbeschäftigten und Arbeitslosengeldempfänger*innen nahm der Bekanntheitsgrad jeweils um 14 Prozentpunkte zu. Vollzeitbeschäftigte hatten New Plan ohne vorheriges Informationsschreiben mit 0,3 Prozent anteilig deutlich seltener angeschaut als Arbeitslosengeldempfänger*innen mit 8 Prozent. Hochgerechnet auf die aktuellen Grundgesamtheiten hätten demnach etwa 63.000 Vollzeitbeschäftigte und 61.000 Arbeitslosengeldempfänger*innen New Plan bereits einmal angeschaut. Auch hier zeigt sich, dass das vorher verschickte Informationsschreiben den Anteil der Befragten, der das Tool bereits angeschaut hatte, um etwa 10 Prozentpunkte erhöhen konnte. Die Befragung zeigt auch: Vollzeitbeschäftigte waren – mit knapp zwei Drittel – in etwas geringerem Ausmaß an beruflicher Weiterentwicklung interessiert als Arbeitslosengeldempfänger*innen. Deren Anteil lag hier bei knapp drei Vierteln – relativ unabhängig davon, ob die Befragten vorher ein Informationsschreiben erhalten hatten oder nicht. Die befragten Vollzeitbeschäftigten fühlten sich schließlich zu deutlich mehr als 50 Prozent (eher) gut über ihre Verdienst- und – in etwas höherem Umfang – über ihre Beschäftigungschancen informiert. Auch bei den Arbeitslosengeldempfänger*innen fühlten sich mehr als 50 Prozent (eher) gut informiert, bei wiederum nur geringen Unterschieden zwischen Personen mit oder ohne vorherigem Informationsschreiben." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Sorting through Cheap Talk: Theory and Evidence from a Labor Market (2024)
Zitatform
Horton, John J., Ramesh Johari & Philipp Kircher (2024): Sorting through Cheap Talk: Theory and Evidence from a Labor Market. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 17052), Bonn, 78 S.
Abstract
"In a labor market model with cheap talk, employers can send messages about their willingness to pay for higher-ability workers, which job-seekers can use to direct their search and tailor their wage bid. Introducing such messages leads – under certain conditions – to an informative separating equilibrium that affects the number of applications, types of applications, and wage bids across rms. This model is used to interpret an experiment conducted in a large online labor market: employers were given the opportunity to state their relative willingness to pay for more experienced workers, and workers can easily condition their search on this information. Preferences were collected for all employers but only treated employers had their signal revealed to job-seekers. In response to revelation of the cheap talk signal, job-seekers targeted their applications to employers of the right "type," and they tailored their wage bids, affecting who was matched to whom and at what wage. The treatment increased measures of match quality through better sorting, illustrating the power of cheap talk for talent matching." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Social capital, job search and labor market outcomes (2024)
Zitatform
Krug, Gerhard (2024): Social capital, job search and labor market outcomes. In: S. McDonald, R. Côté & J. Shen (Hrsg.) (2024): The Handbook on Inequality and Social Capital, 2023-02-01. DOI:10.4337/9781802202373.00034
Abstract
"This chapter gives an overview of the role of social capital in job search. Based on the conceptual distinction between accessed, activated and mobilized social capital, the author first posits a theoretical model of how social capital relates to individuals’ job search behavior and shapes labor market outcomes. This model is used to specify the contributions of a variety of empirical studies from disciplines such as sociology, labor market economics and social psychology to the social capital literature. The author also reviews empirical studies on employers’ use of social capital and social networks and studies on the role of personal contacts as intermediaries between job seekers and employers seeking to fill a vacancy. The chapter concludes with a discussion of frequently encountered methodological problems in research on social capital and job search and of possible directions for future research." (Author's abstract, IAB-Doku, © Elgar) ((en))
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Literaturhinweis
Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech (2023)
Zitatform
Avery, Mallory, Andreas Leibbrandt & Joseph Vecci (2023): Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech. (Discussion paper / Monash University, Department of Economics 2023-09), Clayton, 69 S.
Abstract
"The use of Artificial Intelligence (AI) in recruitment is rapidly increasing and drastically changing how people apply to jobs and how applications are reviewed. In this paper, we use two field experiments to study how AI in recruitment impacts gender diversity in the male-dominated technology sector, both overall and separately for labor supply and demand. We find that the use of AI in recruitment changes the gender distribution of potential hires, in some cases more than doubling the fraction of top applicants that are women. This change is generated by better outcomes for women in both supply and demand. On the supply side, we observe that the use of AI reduces the gender gap in application completion rates. Complementary survey evidence suggests that this is driven by female jobseekers believing that there is less bias in recruitment when assessed by AI instead of human evaluators. On the demand side, we find that providing evaluators with applicants' AI scores closes the gender gap in assessments that otherwise disadvantage female applicants. Finally, we show that the AI tool would have to be substantially biased against women to result in a lower level of gender diversity than found without AI." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Matching Through Search Channels (2023)
Zitatform
Carillo-Tudela, Carlos, Leo Kaas & Benjamin Lochner (2023): Matching Through Search Channels. (IAB-Discussion Paper 10/2023), Nürnberg, 85 S. DOI:10.48720/IAB.DP.2310
Abstract
"Firmen und Arbeitnehmer/-innen finden überwiegend über Stellenanzeigen, persönliche Kontaktnetzwerke oder die Bundesagentur für Arbeit zueinander. All diese Suchkanäle tragen dazu bei, Friktionen am Arbeitsmarkt zu verringern. In diesem Papier untersuchen wir, inwieweit diese Suchkanäle unterschiedliche Auswirkungen auf den Arbeitsmarkt haben. Anhand einer neuen Datenverknüpfung aus administrativer Daten und Umfragedaten zeigen wir: (i) Niedriglohnfirmen und Niedriglohnbeziehende finden vermehrt über Netzwerke oder die Bundesagentur für Arbeit zueinander, währendessen Hochlohnfirmen und Hochlohnbeziehende häufiger über Stellenanzeigen zusammenkommen. (ii) Dabei nutzen Firmen Stellenanzeigen vor allem bei der Abwerbung und Gewinnung von Hochlohnbeziehenden. Im Vergleich zu anderen Suchkanälen, werden Stellenanzeigen auch vermehrt von Beschäftigten beim Aufstieg auf der Karriereleiter genutzt. Um die Auswirkungen dieser Beobachtungen auf die aggregierte Beschäftigung, die Löhne und die Arbeitsmarktsortierung zu bewerten, schätzen wir strukturell ein Gleichgewichtsmodell, das sich durch Karriereleitern, zweiseitige Heterogenität, mehrere Suchkanäle und endogene Einstellungsintensität auszeichnet. Die Schätzung zeigt, dass Netzwerke der kosteneffizienteste Kanal sind, der es Firmen ermöglicht, schnell einzustellen, aber auch Arbeitskräfte mit geringeren durchschnittlichen Fähigkeiten anzuziehen. Stellenanzeigen sind der kostspieligste Kanal, erleichtern die Einstellung von Arbeitnehmern/-innen mit höheren Fähigkeiten und sind für die Sortierung zwischen Beschäftigten und Firmen am wichtigsten. In kontrafaktischen Berechnungen zeigt sich, dass obwohl die Bundesagentur für Arbeit die geringste Einstellungswahrscheinlichkeit bietet, ihre hypothetische Abschaffung beträchtliche Folgen hätte. Die Gesamtbeschäftigung würde um mindestens 1,4 Prozent sinken und die Lohnungleichheit steigen." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Matching through Search Channels (2023)
Zitatform
Carrillo-Tudela, Carlos, Leo Kaas & Benjamin Lochner (2023): Matching through Search Channels. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 16583), Bonn, 37 S.
Abstract
"Firms and workers predominately match via job postings, networks of personal contacts or the public employment agency, all of which help to ameliorate labor market frictions. In this paper we investigate the extent to which these search channels have differential effects on labor market outcomes. Using novel linked survey-administrative data we document that (i) low-wage firms and low-wage workers are more likely to match via networks or the public agency, while high-wage firms and high-wage workers succeed more often via job postings; (ii) job postings help firms the most in poaching and attracting high-wage workers and help workers the most in climbing the job ladder. To evaluate the implications of these findings for employment, wages and labor market sorting, we structurally estimate an equilibrium job ladder model featuring two-sided heterogeneity, multiple search channels and endogenous recruitment effort. The estimation reveals that networks are the most cost-effective channel, allowing firms to hire quickly, yet attracting workers of lower average ability. Job postings are the most costly channel, facilitate hiring workers of higher ability, and matter most for worker-firm sorting. Although the public employment agency provides the lowest hiring probability, its removal has sizeable consequences, with aggregate employment declining by at least 1.4 percent and rising bottom wage inequality." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Neuartige Jobempfehlungssysteme können Suchprozesse am Arbeitsmarkt verbessern (2023)
Zitatform
Fitzenberger, Bernd, Michael Oberfichtner & Michael Stops (2023): Neuartige Jobempfehlungssysteme können Suchprozesse am Arbeitsmarkt verbessern. In: IAB-Forum H. 18.12.2023 Nürnberg. DOI:10.48720/IAB.FOO.20231218.01
Abstract
"Neuere, auf maschinellem Lernen basierende Jobempfehlungssysteme sollen Arbeitssuchenden möglichst passende Jobangebote unterbreiten und so die „klassische“ Arbeitsvermittlung und -beratung entlasten oder ergänzen. Die Herausforderungen in der Umsetzung und die Grenzen in der Anwendung sind jedoch in den Blick zu nehmen, um die Potenziale von Jobempfehlungssystemen optimal zu nutzen. Dies zeigen die Erfahrungen mit den Systemen, die derzeit in Dänemark, Frankreich und Schweden erprobt werden." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Why Personal Ties (Still) Matter: Referrals and Congestion (2023)
Mylius, F.;Zitatform
Mylius, F. (2023): Why Personal Ties (Still) Matter: Referrals and Congestion. (Cambridge working papers in economics 2356), Cambridge, 21 S.
Abstract
"The internet has reduced search costs significantly, making it much easier to apply for a large number of jobs. In spite of that, the share of jobs found through personal contacts has remained stable over the past decades. My theoretical framework explores a new channel that makes referred candidates favorable for firms: a higher likelihood to accept a job offer. This trait becomes particularly advantageous whenever firms face large uncertainty over whether their candidates would accept their job offer. As we see, if search barriers vanish and workers apply to more firms, a referred candidate expects to face more competitors. On the other hand, with more applications being sent out, workers are, on average, less interested in each firm they apply to, which makes referred candidates stand out more. This means the chances of getting a job offer through a referral can increase if competing workers send out more applications." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The Direct and Indirect Effects of Online Job Search Advice (2022)
Zitatform
Altmann, Steffen, Anita Marie Glenny, Robert Mahlstedt & Alexander Sebald (2022): The Direct and Indirect Effects of Online Job Search Advice. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 15830), Bonn, 44 S.
Abstract
"We study how online job search advice affects the job search strategies and labor market outcomes of unemployed workers. In a large-scale field experiment, we provide job seekers with vacancy information and occupational recommendations through an online dashboard. A clustered randomization procedure with regionally varying treatment intensities allows us to account for treatment spillovers. Our results show that online advice is highly effective when the share of treated workers is relatively low: in regions where less than 50% of job seekers are exposed to the treatment, working hours and earnings of treated job seekers increase by 8.5–9.5% in the year after the intervention. At the same time, we find substantial negative spillovers on other treated job seekers for higher treatment intensities, resulting from increased competition between treated job seekers who apply for similar vacancies." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Do the Long-Term Unemployed Benefit from Automated Occupational Advice during Online Job Search? (2022)
Zitatform
Belot, Michèle, Philipp Kircher & Paul Muller (2022): Do the Long-Term Unemployed Benefit from Automated Occupational Advice during Online Job Search? (IZA discussion paper 15452), Bonn, 34 S.
Abstract
"In a randomized field experiment, we provide personalized suggestions about suitable alternative occupations to long-term unemployed job seekers in the UK. The suggestions are automatically generated, integrated in an online job search platform, and fed into actual search queries. Effects on the primary pre-registered outcomes of “finding a stable job” and “reaching a cumulative earnings threshold” are positive, are significant among those who searched at least once, and are more pronounced for those who are longer unemployed. Treated individuals include more occupations in their search and find more jobs in recommended occupations." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Worker-Firm Screening and the Business Cycle (2022)
Zitatform
Bradley, Jake (2022): Worker-Firm Screening and the Business Cycle. (IZA discussion paper 15017), Bonn, 50 S.
Abstract
"There has been a substantial body of work modeling the co-movement of employment, vacancies, and output over the business cycle. This paper builds on this literature, and informed by empirical investigation, models worker and firm search and hiring behavior in a manner consistent with recent micro-evidence. Consistent with empirical findings, for a given vacancy, a firm receives many applicants, and chooses their preferred candidate amongst the set. Similarly, workers in both unemployment and employment, can evaluate many open vacancies simultaneously and choose to which they make an application. Business cycles are propagated through turbulence in the economy. Structural parameters of the model are estimated on U.S. data, targeting aggregate time series. The model can generate large volatility in unemployment, vacancies, and worker flows across jobs and employment state. Further, it provides a theoretical mechanism for the shift in the Beveridge curve after the 2008 recession - a phenomenon often referred to as the jobless recovery. That is, persistently low employment after the recession, despite output per worker and vacancies having returned to pre-crisis levels." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Zwischen Selbst- und Fremdbestimmung: Stellensuche digital (2022)
Böhringer, Daniela;Zitatform
Böhringer, Daniela (2022): Zwischen Selbst- und Fremdbestimmung: Stellensuche digital. In: Sozialer Fortschritt, Jg. 71, H. 6-7, S. 425-446. DOI:10.3790/sfo.71.6-7.425
Abstract
"In Deutschland setzt besonders die öffentliche Arbeitsvermittlung auf hohe Automatisierung und Digitalisierung bei der Stellensuche und stellt entsprechende online-Suchmöglichkeiten für Bürger*innen zur Verfügung. Im Text wird der Frage nachgegangen, welche interaktiven Besonderheiten diese Begegnung ‚face-to-screen‘ aufweist. Damit wird die Forschung zu Street-level bureaucrats, die gegenwärtig auf die persönliche Begegnung von Angesicht zu Angesicht fokussiert, erweitert. Die Analyse beruht auf Video-Aufzeichnungen von Nutzungssituationen. Dabei wurden vor allem solche Sequenzen analysiert, in denen deutlich wird, dass Probleme und Irritationen in der Mensch-Maschine-Interaktion auftreten. Die Ergebnisse verweisen auf eine Art interaktiven Bias, auf besondere Interaktionsarbeit auf Seiten der Bürger*innen und Bürger in solchen Begegnungen ‚face-to-screen‘." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Evidence on Job Search Models from a Survey of Unemployed Workers in Germany (2022)
Zitatform
DellaVigna, Stefano, Jörg Heining, Johannes F. Schmieder & Simon Trenkle (2022): Evidence on Job Search Models from a Survey of Unemployed Workers in Germany. In: The Quarterly Journal of Economics, Jg. 137, H. 2, S. 1181-1232., 2021-09-11. DOI:10.1093/qje/qjab039
Abstract
"Die Wahrscheinlichkeit eine neue Beschäftigung zu finden nimmt für Bezieher von Leistungen aus der Arbeitslosenversicherung in den ersten Monaten der Arbeitslosigkeit zunächst ab, steigt dann aber zum Ende der Bezugsdauer wieder an, um danach erneut abzuflachen. Zahlreiche theoretische Ansätze wurden bisher vorgeschlagen, um dieses Muster zu erklären, jedoch ist dies kaum möglich sofern dafür nur Daten über die Tatsache der Arbeitsaufnahme an sich herangezogen werden. Um die zugrundeliegenden Mechanismen besser zu verstehen, haben wir mittels SMS-Kurznachrichten eine groß angelegte Befragung von Arbeitslosen durchgeführt. Insgesamt wurden über 6.800 Leistungsbezieher zweimal pro Woche über jeweils vier Monate über den zeitlichen Aufwand bei der Suche nach einem neuen Arbeitsplatz befragt. Aufgrund der resultierenden Panelstruktur war es uns nun möglich Erkenntnisse zu sammeln, wie sich dieser zeitliche Aufwand auf individueller Ebene über die Dauer der Arbeitslosigkeit hinweg entwickelt. Unsere drei Hauptergebnisse lauten: 1) Der Suchaufwand verläuft flach zu Beginn der Arbeitslosigkeit. 2) Weiter steigt der Suchaufwand zum Ende der Bezugsdauer an, nimmt im Anschluss daran jedoch wieder ab. 3) Es gibt keine Anzeichen dafür, dass Leistungsbezieher die Aufnahme einer neuen Beschäftigung bewusst an das Ende der Bezugsdauer verzögern. Insbesondere das zweite und das dritte dieser Ergebnisse lassen sich kaum mit den Standardmodellen zur Arbeitssuche basierend auf unbeobachteter Heterogenität bzw. so genannten Storable Offer Modellen erklären. Dagegen können die genannten Ergebnisse gut mittels eines Suchmodells mit Reference Dependence erklärt werden." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Methoden der Stellensuche und Stellensucherfolg: Arbeitsmarktstudie (2022)
Zitatform
Liechti, David, Mirjam Suri, Thomas Möhr, Patrick Arni & Michael Siegenthaler (2022): Methoden der Stellensuche und Stellensucherfolg. Arbeitsmarktstudie. (Grundlagen für die Wirtschaftspolitik / Staatssekretariat für Wirtschaft SECO 33), Bern, 104 S.
Abstract
"Die Studie setzt sich mit der Frage auseinander, wie beim RAV gemeldete Stellensuchende nach Stellen suchen und was eine erfolgreiche Suche ausmacht. Die Analyse wurde mittels Befragungen von Stellensuchenden (Anmeldungen 2019, bzw. wiederholte Befragung Anmeldungen Mai 2021) sowie Daten der Arbeitslosenstatistik durchgeführt. Im Durchschnitt setzen Stellensuchende wöchentlich etwa 19 Stunden für Bewerbungen ein, etwas weniger als die Hälfte (knapp neun Stunden) werden für die Identifikation von passenden Stellen aufgewendet, die weiteren knapp zehn Stunden werden in das Verfassen von Bewerbungen investiert. Über 95 Prozent der Stellensuchenden nutzen sowohl analoge als auch Online-Suchkanäle. Die Kanäle, welche am häufigsten genutzt werden, sind allgemeine Jobbörsen, Suchmaschinen im Internet, Webseiten von Arbeitgebern, das persönliche Netzwerk sowie Initiativ-bewerbungen. Rund 62 Prozent aller Befragten nutzen arbeit.swiss/Job-Room – die Jobplattform der öffentlichen Arbeitsvermittlung – mehrmals monatlich für die Stellensuche. Die Nutzung der Plattform ist bei Geringqualifizierten und Personen ohne Kenntnisse der Landessprachen bedeutend geringer. Generell selten werden beispielsweise Inserate in Zeitungen als Suchkanal genutzt. Rund drei Viertel der Stellensuchenden nutzen zwischen sieben und elf Kanäle parallel (von zwölf in dieser Studie differenzierten Suchkanälen). Am häufigsten kam der entscheidende Hinweis auf die Stelle, welche angetreten werden konnte, aus dem persönlichen Netzwerk oder die Stelle wurde auf einer allgemeinen Jobbörse identifiziert. Regelmässig werden die Stellensuchenden aber auch von Personalvermittlungsfirmen oder Arbeitgebern direkt kontaktiert und kommen so an eine neue Stelle. Es zeigen sich Auffälligkeiten nach Untergruppen: Stellensuchende ab 55 Jahren nutzen im Vergleich zu jüngeren Stellensuchenden etwas seltener Online-Kanäle, sichten dafür aber häufiger Zeitungsinserate. In Bezug auf den Erfolg von Suchkanälen weichen die älteren Stellensuchenden allerdings nicht vom Durchschnitt ab (die drei erfolgreichsten Kanäle entsprechen denjenigen des Durchschnitts). Weiter sind Personen, welche nicht mindestens eine Landessprache gut beherrschen, mit Jobbörsen im Internet kaum erfolgreich. Da diese Gruppe aber Jobbörsen nicht signifikant seltener nutzt, interpretieren wir dies nicht als Hürde bei der Nutzung, sondern als Hindernis beim Erstellen des Bewerbungsdossiers. Zudem gehen beispielsweise für Initiativbewerbungen bei Hilfsarbeitskräften eine hohe Nutzung und hohe Erfolgsraten einher. Die gewählten Strategien unterscheiden sich kaum zwischen Stellensuchenden, die eine Stelle gefunden haben und solchen, die keine gefunden haben. Die Suchstrategie wird über eine längere Suchdauer teilweise angepasst. Kurzfristig, bzw. in den ersten Monaten der Arbeitslosigkeit, ist die Veränderung allerdings sehr gering (bezüglich Suchintensität und auch Wahl der genutzten Kanäle). Generell scheint es, dass eher das Suchfeld verbreitert wird und keine Anpassungen bezüglich der Wahl der Suchkanäle stattfindet." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Public employment agency reform, matching efficiency, and German unemployment (2022)
Zitatform
Merkl, Christian & Timo Sauerbier (2022): Public employment agency reform, matching efficiency, and German unemployment. (FAU Discussion papers in economics 01/2022), Nürnberg, 38 S.
Abstract
"Our paper aims at improving the understanding for the role of public employment agencies in job matching. We analyze the effects of the restructuring of the Federal Employment Agency in Germany (Hartz III labor market reform) for aggregate matching and unemployment. Based on two microeconomic datasets, we show that the market share of the Federal Employment Agency as job intermediary declined after the Hartzreforms. We propose a macroeconomic model of the labor market with a private and a public search channel and fit the model to various dimensions of the data. We show that direct intermediation activities of the Federal Employment Agency did not contribute to the decline of unemployment in Germany. By contrast, improved activation of unemployed workers reduced unemployed by 0.7 percentage points." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Skill Mismatch and the Costs of Job Displacement (2022)
Zitatform
Neffke, Frank, Ljubica Nedelkoska & Simon Wiederhold (2022): Skill Mismatch and the Costs of Job Displacement. (CESifo working paper 9703), München, 43 S.
Abstract
"When workers are displaced from their jobs in mass layoffs or firm closures, they experience lasting adverse labor market consequences. We study how these consequences vary with the amount of skill mismatch that workers experience when returning to the labor market. Using novel measures of skill redundancy and skill shortage, we analyze individuals' work histories in Germany between 1975 and 2010. We estimate difference-in-differences models, using a sample in which we match displaced workers to statistically similar non-displaced workers. We find that displacements increase the probability of occupational change eleven fold, and that the type of skill mismatch after displacement is strongly associated with the magnitude of post-displacement earnings losses. Whereas skill shortages are associated with relatively quick returns to the counterfactual earnings trajectories that displaced workers would have experienced absent displacement, skill redundancy sets displaced workers on paths with permanently lower earnings." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Market Transition and Network-Based Job Matching in China: The Referrer Perspective (2022)
Zitatform
Obukhova, Elena & Brian Rubineau (2022): Market Transition and Network-Based Job Matching in China: The Referrer Perspective. In: ILR review, Jg. 75, H. 1, S. 200-224. DOI:10.1177/0019793920937234
Abstract
"To better understand how network-based job matching responds to market development, the authors investigate network matching in China. They examine this question from the perspective of referrers, those who share information about job opportunities with potential job candidates. Using unique data from a population survey and leveraging interprovincial differences in market development, the authors show that market development has a negative association with individuals’ propensity to share job information. People who work at firms that offer a referral bonus and people who work at private firms, however, are more likely to share information and share it with more people, and the number of such employers increases with market transition. This increase can produce a positive association between market development and overall prevalence of job information-sharing. Results clarify the role employer-side processes play in job information-sharing and carry important implications for understanding network matching." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Occupational Matching and Cities (2022)
Zitatform
Papageorgiou, Theodore (2022): Occupational Matching and Cities. In: American Economic Journal. Macroeconomics, Jg. 14, H. 3, S. 82-132. DOI:10.1257/mac.20180122
Abstract
"In this paper, I document that workers in larger cities have significantly more occupational options than workers in smaller ones. They are able to form better occupational matches and earn higher wages. I also note differences in occupation reallocation patterns across cities. I develop a dynamic model of occupation choice that microfounds agglomeration economies and captures the empirical patterns. The calibration of the model suggests that better occupational match quality accounts for approximately 35 percent of the observed wage premium and one-third of the greater inequality in larger cities." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Nine Mechanisms of Job-Searching and Job-Finding Through Contacts Among Young Adults (2022)
Zitatform
Vacchiano, Mattia (2022): Nine Mechanisms of Job-Searching and Job-Finding Through Contacts Among Young Adults. In: Sociological research online, Jg. 27, H. 2, S. 361-378. DOI:10.1177/13607804211009525
Abstract
"Since Granovetter’s seminal works, the influence of personal networks on the labour market has attracted widespread attention. This article analyses the role played by contacts in the context of the labour trajectories of young people in Spain, for whom the use of personal networks represents one of the most important job-searching methods. Using narrative data extracted from a life-history grid and ego-network generator, the analysis brings to light nine mechanisms in which personal contacts intervene in job-searching and job-finding in a sample of 90 young people living in the Barcelona Metropolitan Area. The article emphasizes that contacts play primarily three roles in these processes as informers, employers, or influencers. This distinction offers a renewed framework for the study of networks in the labour market, further complementing the debate on the strength of ties. Using this framework allows me to create a map of the mechanisms that shed light on personal networks as tools with which to deal with labour insecurity and unemployment among young people, thus providing resources that to a large extent reaffirm the objective character of class differences. The article offers innovative insights into how social capital operates in the labour market and helps understand how youth precarity, which is widespread in Spain, is experienced in a relational way." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Job Search during a Pandemic Recession: Survey Evidence from the Netherlands (2021)
Zitatform
Balgová, Mária, Simon Trenkle, Christian Zimpelmann & Nico Pestel (2021): Job Search during a Pandemic Recession: Survey Evidence from the Netherlands. (IZA discussion paper 14180), Bonn, 36 S.
Abstract
"This paper studies job search behavior in the midst of a pandemic recession. We use long-running panel data from the Netherlands (LISS) and complement the core survey with our own COVID-specific module, conducted in June 2020, surveying job search effort of employed as well as unemployed respondents. We estimate an empirical model of job search over the business cycle over the period 2008-2019 to explore the gap between predicted and actual job search behavior in 2020. We find that job search during the pandemic recession differs strongly from previous downturns. The unemployed search significantly less than what we would normally observe during a recession of this size, while the employed search mildly more. Expectations about the duration of the pandemic seem to play a key role in explaining job search effort for the unemployed in 2020. Furthermore, employed subjects affected by changes in employment status due to COVID-19 are more likely to search for a job. Conversely, beliefs about infection risk do not seem to be related to job search in a systematic way." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Does the internet increase the job finding rate?: Evidence from a period of expansion in internet use (2021)
Zitatform
Denzer, Manuel, Thorsten Schank & Richard Upward (2021): Does the internet increase the job finding rate? Evidence from a period of expansion in internet use. In: Information economics and policy, Jg. 55. DOI:10.1016/j.infoecopol.2020.100900
Abstract
"We examine the impact of household access to the internet on job finding rates in Germany during a period (2006–2009) in which the share of households with a broadband connection increased by 31 percentage points, and job-seekers increased their use of the internet as a search tool. During this period, household access to broadband internet was almost completely dependent on the availability of a particular technology (DSL). We therefore exploit the variation in DSL availability across municipalities as an instrument for household access to the internet. OLS estimates which control for differences in individual and local area characteristics suggest a job finding advantage of about six percentage points. The IV estimates are substantially larger, but much less precisely estimated. However, we cannot reject the hypothesis that, conditional on observables, residential computer access with internet was as good as randomly assigned with respect to the job finding rate. The hypothesis that residential internet access helped job-seekers find work because of its effect on the job search process is supported by the finding that residential internet access greatly increased the use of the internet as a search method. We find some evidence that household access to the internet reduced the use of traditional job search methods, but this effect is outweighed by the increase in internet-based search methods." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
"Are you in the right job?" Human Capital Mismatch in the UK (2021)
Zitatform
Galanakis, Yannis (2021): "Are you in the right job?" Human Capital Mismatch in the UK. (GLO discussion paper / Global Labor Organization 976), Essen, 58 S.
Abstract
"This paper examines a problem of worker misallocation into jobs. A theoretical model, allowing for heterogeneous workers and firms, shows that job search frictions generate mismatch between employees and employers. In the empirical analysis, the British Household Panel Survey (BHPS), the UK household Longitudinal Study (UKHLS) and British Cohort Study 1970 (BCS70) data are used to measure the incidence of mismatch, how it changes over time and whether it can be explained by unobserved ability. Results show that (i) the incidence of mismatch increases after the Great Recession. (ii) Individual transitions to/from matching take place due to workers' occupational mobility and over-time skills development. (iii) Employees can find better jobs or their mobility occurs earlier than the aggregate change of skills. (iv) Controlling for individual heterogeneity, measured by cognitive and non-cognitive skill test scores throughout childhood, does not decrease the incidence of mismatch. This suggests that unobserved productivity does not generate mismatch in the labour market." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Does Online Search Improve the Match Quality of New Hires? (2021)
Zitatform
Gürtzgen, Nicole, Benjamin Lochner, Laura Pohlan & Gerard J. van den Berg (2021): Does Online Search Improve the Match Quality of New Hires? (IAB-Discussion Paper 02/2021), Nürnberg, 66 S.
Abstract
"Die Studie untersucht den Effekt der Expansion des Breitbandinternets auf die Matchqualität neu eingestellter Personen. Hierzu werden Daten zur regionalen Internetverfügbarkeit mit administrativen Individualdaten und Vakanzdaten für den deutschen Arbeitsmarkt kombiniert. Die Ergebnisse zeigen, dass eine Ausweitung der Breitbandinternet-Verfügbarkeit keinen größeren Einfluss auf die Stabilität und Entlohnung neu begonnener Beschäftigungsverhältnisse hat. Diese Resultate werden auf Basis von Analysen mit Vakanzdaten bestätigt. Diese Daten erlauben einen expliziten Vergleich der Matchqualität von Personen, die online rekrutiert wurden, mit der Matchqualität von Personen, die über andere Rekrutierungskanäle eingestellt wurden. Weiterhin zeigen die Ergebnisse, dass Online-Rekrutierung nicht nur die Anzahl der Bewerbungen und den Anteil ungeeigneter Bewerbungen erhöht, sondern ebenfalls zu einer höheren Anzahl von Vakanzen führt." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Matching for three: big data evidence on search activity of workers, firms, and employment service (2021)
Zitatform
Hartl, Tobias, Christian Hutter & Enzo Weber (2021): Matching for three: big data evidence on search activity of workers, firms, and employment service. (IAB-Discussion Paper 01/2021), Nürnberg, 14 S.
Abstract
"Wir generieren Maße für die Suchintensität von Arbeitgebern und Arbeitssuchenden und zum ersten Mal - für die Vermittlungsintensität von Arbeitsagenturen. Zu diesem Zweck greifen wir auf Big Data zu Online-Aktivitäten aus der Online Jobbörse der Bundesagentur für Arbeit und ihrer internen Vermittlungssoftware zurück. Wir verwenden diese Daten, um eine erweiterte Matchingfunktion zu schätzen, bei der der Effizienzparameter mit den Such- und Vermittlungsintensitäten variiert. Die Ergebnisse zeigen, dass alle drei Intensitätsmaße erheblich zur Erklärung der Job-findings-Variation beitragen." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Cyclicality of labour market search: a new big data Approach (2021)
Zitatform
Hutter, Christian (2021): Cyclicality of labour market search: a new big data Approach. In: Journal for labour market research, Jg. 55, 2020-12-11. DOI:10.1186/s12651-020-00283-9
Abstract
"This paper exploits big data on online activity from the job exchange of the German Federal Employment Agency and its internal placement-software to generate measures for search activity of employers and job seekers and - as a novel feature - for placement activity of employment agencies. In addition, the average search perimeter in the job seekers’ search profiles can be measured. The data are used to estimate the behaviour of the search and placement activities during the business and labour market cycle and their seasonal patterns. The results show that the search activities of firms and employment agencies are procyclical. By contrast, job seekers’ search intensity shows a countercyclical pattern, at least before the COVID-19 crisis." (Author's abstract, © 2021 Springer) ((en))
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Literaturhinweis
The Geography of Job Creation and Job Destruction (2021)
Zitatform
Kuhn, Moritz, Iourii Manovskii & Xincheng Qiu (2021): The Geography of Job Creation and Job Destruction. (ECONtribute discussion paper 122), Köln ; Bonn, 45, A-20 S.
Abstract
"Spatial differences in labor market performance are large and highly persistent. Using data from the United States, Germany, and the United Kingdom, we document striking similarities in spatial differences in unemployment, vacancies, job finding, and job filling within each country. This robust set of facts guides and disciplines the development of a theory of local labor market performance. We find that a spatial version of a Diamond-Mortensen-Pissarides model with endogenous separations and on-the-job search quantitatively accounts for all the documented empirical regularities. The model also quantitatively rationalizes why differences in job-separation rates have primary importance in inducing differences in unemployment across space while changes in the job-finding rate are the main driver in unemployment fluctuations over the business cycle." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Unemployment Experts: Governing the Job Search in the New Economy (2021)
Zitatform
Sheehan, Patrick (2021): Unemployment Experts: Governing the Job Search in the New Economy. In: Work and occupations, Jg. 48, H. 4, S. 470-497. DOI:10.1177/07308884211003652
Abstract
"In recent years, sociologists have examined unemployment and job searching as important arenas in which workers are socialized to accept the terms of an increasingly precarious economy. While noting the importance of expert knowledge in manufacturing the consent of workers, research has largely overlooked the experts themselves that produce such knowledge. Who are these experts and what kinds of advice do they give? Drawing on interviews and ethnographic fieldwork conducted at three job search clubs, the author develops a three-fold typology of “unemployment experts”: Job Coaches present a technical diagnosis that centers mastery of job-hunting techniques; Self-help Gurus present a moral diagnosis focused on the job seeker’s attitude; and Skill-certifiers present a human capital diagnosis revolving around the job seeker’s productive capacities. By offering alternative diagnoses and remedies for unemployment, these experts give job seekers a sense of choice in interpreting their situation and acting in the labor market. However, the multiple discourses ultimately help to secure consent to precarious labor markets by drawing attention to a range of individual deficiencies within workers while obfuscating structural and relational explanations of unemployment. The author also finds that many unemployment experts themselves faced dislocations from professional careers and are making creative claims to expertise. By focusing on experts and their varied messages, this paper reveals how the victims of precarious work inadvertently help to legitimate the new employment regime." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Spatial matching on the urban labor market: estimates with unique micro data (2021)
Zitatform
Wozniak, Marcin (2021): Spatial matching on the urban labor market: estimates with unique micro data. In: Journal for labour market research, Jg. 55. DOI:10.1186/s12651-021-00293-1
Abstract
"In the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may provide different findings than regular panel models regarding returns to scale in matching technology. Moreover, we have identified global spillover effects as well as other factors that impact the job-worker matching. We underline the role of data on job vacancies: the data retrieved from commercial job portals produced much more reliable estimates than underestimated registered data." (Autorenreferat, © 2021 Springer Nature) ((en))
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Literaturhinweis
Competing for jobs: How COVID-19 changes search behaviour in the labour market (2020)
Zitatform
Bauer, Anja, Kristin Keveloh, Mariano Mamertino & Enzo Weber (2020): Competing for jobs: How COVID-19 changes search behaviour in the labour market. (IAB-Discussion Paper 33/2020), Nürnberg, 21 S.
Abstract
"Bislang ist wenig darüber bekannt, wie die Coronakrise die Suchprozesse auf dem Arbeitsmarkt verändert hat. Durch eine Analyse von Daten aus dem beruflichen Netzwerk LinkedIn für Deutschland erhalten wir Erkenntnisse zu einer Veränderung der Konkurrenz am Arbeitsmarkt, einer Umverteilung von Bewerbungen und einer möglichen Verschiebung in Richtung niedrigerer Karrierestufen. Wir stellen fest, dass der Wettbewerb unter den Arbeitnehmern um Arbeitsplätze stark zugenommen hat. Die Daten lassen den Rückschluss zu, dass dies eher auf zusätzliche Arbeitssuchende als auf eine höhere Suchintensität zurückgeht. Darüber hinaus zeigen die LinkedIn-Daten, dass sich Personen aus von der Krise besonders betroffenen Branchen sehr viel häufiger bewerben und dass sich die Zielbranchen für Bewerbungen erheblich verschoben haben. Schließlich stellen wir fest, dass sich Personen während der Krise deutlich häufiger unterhalb und deutlich seltener oberhalb der eigenen Karrierestufe beworben haben." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Wie die Corona-Krise die Suchprozesse am Arbeitsmarkt beeinflusst (Serie "Corona-Krise: Folgen für den Arbeitsmarkt") (2020)
Zitatform
Bauer, Anja, Kristin Keveloh, Mariano Mamertino & Enzo Weber (2020): Wie die Corona-Krise die Suchprozesse am Arbeitsmarkt beeinflusst (Serie "Corona-Krise: Folgen für den Arbeitsmarkt"). In: IAB-Forum H. 05.08.2020 Nürnberg, o. Sz., 2020-08-05.
Abstract
"Viele Branchen wurden von der Corona-Krise hart getroffen, andere nicht, einige konnten sogar profitieren. Damit ändert sich auch das Suchverhalten am Arbeitsmarkt. Dies zeigt eine Auswertung von Daten des beruflichen Netzwerkes." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Job Search and Hiring with Two-sided Limited Information about Workseekers' Skills (2020)
Zitatform
Carranza, Eliana, Robert Garlick, Kate Orkin & Neil Rankin (2020): Job Search and Hiring with Two-sided Limited Information about Workseekers' Skills. (Upjohn Institute working paper 328), Kalamazoo, Mich., 70 S. DOI:10.17848/wp20-328
Abstract
"We present field experimental evidence that limited information about workseekers’ skills distorts both firm and workseeker behavior. Assessing workseekers’ skills, giving workseekers their assessment results, and helping them to credibly share the results with firms increases workseekers’ employment and earnings. It also aligns their beliefs and search strategies more closely with their skills. Giving assessment results only to workseekers has similar effects on beliefs and search, but smaller effects on employment and earnings. Giving assessment results only to firms increases callbacks. These patterns are consistent with two-sided information frictions, a new finding that can inform design of information-provision mechanisms." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The German job search panel (2020)
Hetschko, Clemens ; Schmidtke, Julia ; Stephan, Gesine ; Schöb, Ronnie ; Lawes, Mario ; Eid, Michael ;Zitatform
Hetschko, Clemens, Julia Schmidtke, Michael Eid, Mario Lawes, Ronnie Schöb & Gesine Stephan (2020): The German job search panel. (OSF preprints), 2020-04-23. DOI:10.31219/osf.io/7jazr
Abstract
"This report introduces the German Job Search Panel, a longitudinal survey that follows people who register as job seeking over the course of up to two years. The focus of the survey is on job seekers’ well-being and health. An innovative survey app is used to allow for frequent measurement every month and for conducting the experience sampling method. The collected data may be linked to administrative records of the Federal Employment Agency, provided that people give their consent. A subsample of surveyed job seekers took part in hair sampling to measure their cortisol levels. In this report, we describe the sampling procedure, adjustments over the recruitment period and the collected data. We moreover examine selective participation in the panel. It turns out that high-skilled workers, young individuals and women were more likely to sign up. Age increases the probability to take part in the hair sampling. People working in East Germany were more likely to consent to the linkage of survey data and administrative records." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Measuring spatial mismatch and job access inequity based on transit-based job accessibility for poor job seekers (2020)
Zitatform
Liu, Dong & Mei-Po Kwan (2020): Measuring spatial mismatch and job access inequity based on transit-based job accessibility for poor job seekers. In: Travel behaviour and society, Jg. 19, S. 184-193. DOI:10.1016/j.tbs.2020.01.005
Abstract
"The few spatial mismatch studies that have examined spatial mismatch based on job accessibility consider travel time as the sole travel impedance. However, travel cost (e.g., fuel cost, parking fee and transit fare) is also an important factor in determining job accessibility especially for poor job seekers and needs to be integrated into job accessibility measure, because socially vulnerable people including poor job seekers could be disadvantaged by high travel cost (e.g., poor job seekers discouraged from using transit services for commuting due to high fare). By focusing on transit-based job accessibility, this study seeks to improve the assessment of spatial mismatch based on job accessibility by taking transit fare into account and determine the inequity in job accessibility for poor job seekers by conducting comparisons across areas and races. Based on a study of the Chicago Metropolitan Area, we first determine the demand for each census tract’s jobs based on a gravity model that integrates both transit-based travel time and transit fare of poor job seekers from other census tracts. Then, we measure the job accessibility for each census tract based on a gravity model considering the attraction of low-pay jobs weighted by job demand and the friction of transit-based travel time and transit fare. Finally, we assess spatial mismatch by comparing the job accessibility of central city poor job seekers against their suburban counterparts and determine the job access inequity for poor job seekers by comparing the results before and after including transit fare across different areas and races. The results show that central city poor job seekers, either before or after including transit fare, do not suffer from spatial mismatch and tend to have higher job accessibility compared to their suburban counterparts. However, the results obtained from including transit fare are quite different from those that considered travel time only, especially with respect to the differences between poor job seekers of different races living in different areas. For policymakers to be fully informed about spatial mismatch, it is important to take both travel time and transit fare into account." (Author's abstract, IAB-Doku) ((en))