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
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
Hiring opportunities for new firms and the business cycle (2025)
Zitatform
Brixy, Udo & Martin Murmann (2025): Hiring opportunities for new firms and the business cycle. In: Small business economics, Jg. 64, H. 3, S. 1387-1413., 2024-06-24. DOI:10.1007/s11187-024-00948-6
Abstract
"Whether firms founded during or outside economic crises have greater growth potential is an important question for both prospective entrepreneurs and policy makers. Existing research offers conflicting answers, and mostly either focuses on aggregate cohort-level effects or selectively excludes small new firms from the analyses. Using extensive linked employer-employee data on young German firms around and during the Global Financial Crisis, a period of sharply reduced access to external capital and recession, we show that young firms respond to cyclical conditions in highly heterogeneous ways. Our firm-level results reveal that the average new firm found it easier to hire its first employees when it was founded during the crisis. These firms achieved countercyclical growth by hiring career entrants. More specifically, hiring in very young (<1.5 years) and small to medium-sized (below the 90th percentile) young firms was countercyclical, while this was not the case for older and larger young firms. Thus, the firm-specific effects for young entrepreneurial firms may be very different from those reported in previous research. Our results suggest that market entry during a crisis may facilitate hiring and that policies that promote entrepreneurship may usefully complement policies that encourage labor hoarding by incumbents during recessions." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))
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Literaturhinweis
Analysepotenziale von OnlineStellenanzeigen und Methoden Maschinellen Lernens am Beispiel der Mindestlohnforschung: Hat der Mindestlohn die Nachfrage von Kompetenzen durch Arbeitgeber verändert? (2025)
Busch, Anne; Krieger, Benedikt; Krusee, Sebastian; Goluchowicz, Kerstin; Baumann, Fabienne-Agnes;Zitatform
Busch, Anne, Fabienne-Agnes Baumann, Benedikt Krieger, Kerstin Goluchowicz & Sebastian Krusee (2025): Analysepotenziale von OnlineStellenanzeigen und Methoden Maschinellen Lernens am Beispiel der Mindestlohnforschung. Hat der Mindestlohn die Nachfrage von Kompetenzen durch Arbeitgeber verändert? (iit Perspektive / Institut für Innovation und Technik 80), Berlin, 17 S. DOI:10.23776/2025_09
Abstract
"Diese iit-perspektive beleuchtet das Potenzial innovativer Datenzugänge (Online-Stellenanzeigen) und Analysemethoden (Methoden des maschinellen Lernens) für sozialwissenschaftliche Fragestellungen am Beispiel der Mindestlohnforschung. So ist es mit Online-Stellenanzeigen als Datengrundlage beispielsweise möglich zu untersuchen, inwieweit die Einführung bzw. Erhöhung des Mindestlohns die von Arbeitgebern geforderten beruflichen Kompetenzen verändert hat." (Autorenreferat, IAB-Doku)
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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
More Than a Match: “Fit” as a Tool in Hiring Decisions (2025)
Zitatform
Nichols, Bethany J., David S. Pedulla & Jeff T. Sheng (2025): More Than a Match: “Fit” as a Tool in Hiring Decisions. In: Work and occupations, Jg. 52, H. 2, S. 175-203. DOI:10.1177/07308884231214279
Abstract
"The concept of “fit” has become important for understanding hiring decisions and labor market outcomes. While social scientists have explored how fit functions as a legitimized evaluative criterion to match candidates to jobs in the hiring process, less is known about how fit functions as a hiring tool to aid in decision-making when hiring decisions cannot—or should not—be justified. Drawing on in-depth interviews with 53 hiring professionals, we develop a theoretical argument that hiring professionals can use fit as a tool to circumvent legitimized hiring criteria and justify their hiring goals. Specifically, we show how hiring professionals use fit as a tool to explain their hiring decisions when these decisions cannot or should not be justified and we outline two mechanisms through which this process occurs: (1) fit as a tool for circumventing human capital concerns, and (2) fit as a tool to circumvent hiring policies based upon social characteristics. We argue that fit is more than an evaluative criterion for matching individuals to jobs. Hiring professionals deploy fit as a tool to justify their decisions amid uncertainty and constraint. Fit, then, becomes a placeholder when these hiring decisions are not able to be justified through legitimized means. Our findings reveal some of the potential negative consequences of using fit during the hiring process and contribute important theoretical insights about the role of fit in scholarship on inequality and labor markets." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Anonymous job applications and hiring discrimination: Blind recruitment can level the playing field in access to jobs but cannot prevent all forms of discrimination (2025)
Zitatform
Rinne, Ulf (2025): Anonymous job applications and hiring discrimination. Blind recruitment can level the playing field in access to jobs but cannot prevent all forms of discrimination. (IZA world of labor 48,3), Bonn, o. Sz. DOI:10.15185/izawol.48.v3
Abstract
"Anonymisierte Bewerbungsverfahren sind potenziell geeignet, Einstellungshindernisse aufgrund von Diskriminierung einzelner Arbeitsmarktgruppen abzubauen. Bei effektiver Umsetzung sorgen solche Verfahren für Chancengleichheit im Bewerbungsprozess, da sie den Fokus der Personalentscheider auf die Qualifikationen und Fähigkeiten der Bewerber lenken. Allerdings sind anonyme Bewerbungen weder in allen Fällen sinnvoll umsetzbar, noch können sie jegliche Form der Bewerberdiskriminierung verhindern." (Autorenreferat, IAB-Doku)
Ähnliche Treffer
auch erschienen als: IZA world of labor, 454 -
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
Social media and hiring: a survey experiment on discrimination based on online social class cues (2024)
Zitatform
Galos, Diana Roxana (2024): Social media and hiring: a survey experiment on discrimination based on online social class cues. In: European Sociological Review, Jg. 40, H. 1, S. 116-128. DOI:10.1093/esr/jcad012
Abstract
"Discrimination based on social class is challenging to study, and therefore likely to be underappreciated due to its subtle nature. Social class is often difficult to gauge from traditional resumes, yet, the expansion of social networking platforms provides employers with an additional source of information. Given that many individuals have a social media presence today, employers can increasingly rely on additional information gleaned from such online platforms (e.g., Twitter, Instagram), which may alter hiring decisions. To study the role of social networking platforms vis-à-vis potential discrimination based on social class cues, I leverage an original online survey experiment in the United States. The aim of the investigation is (i) to measure the effect of cultural markers of social class expressed on social media profiles in a hypothetical hiring situation and (ii) to analyse potential channels that might explain class-based discrimination. I show that subjects favour the upper-class-signalling candidate over the lower-class-signalling candidate and that perceived competence and perceived warmth are two channels through which class-based discrimination may occur. The individual’s online presence might not be part of the formal application process, yet it seems to shape inferences about individuals’ employability, competence, and warmth." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Do employers learn more from referrals than from other recruitment channels? (2024)
Zitatform
Gürtzgen, Nicole & Laura Pohlan (2024): Do employers learn more from referrals than from other recruitment channels? In: Labour Economics, Jg. 89, 2024-05-16. DOI:10.1016/j.labeco.2024.102574
Abstract
"We study whether referrals deliver better information about the productivity of new hires than other recruiting channels. Using combined vacancy-register data, we document that referrals are associated with less screening and lower search costs. We demonstrate that the referral wage premium is informative on referrals’ information advantage only if differences in screening are accounted for. Consistent with the predictions from a learning model, referrals increase new hires’ job stability and wages, with the effects diminishing over time. Results suggest that the referral information advantage is particularly pronounced for males and when employers use referrals as the only search channel." (Author's abstract, IAB-Doku, © Elsevier) ((en))
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Literaturhinweis
No Thanks, Dear AI! Understanding the Effects of Disclosure and Deployment of Artificial Intelligence in Public Sector Recruitment (2024)
Zitatform
Keppeler, Florian (2024): No Thanks, Dear AI! Understanding the Effects of Disclosure and Deployment of Artificial Intelligence in Public Sector Recruitment. In: Journal of Public Administration Research and Theory, Jg. 34, H. 1, S. 39-52. DOI:10.1093/jopart/muad009
Abstract
"Applications based on artificial intelligence (AI) play an increasing role in the public sector and invoke political discussions. Research gaps exist regarding the disclosure effects—reactions to disclosure of the use of AI applications—and the deploymenteffect—efficiency gains in data savvy tasks. This study analyzes disclosure effects and explores the deployment of an AI application in a preregistered field experiment (n = 2,000) co-designed with a public organization in the context of employer-driven recruitment. The linear regression results show that disclosing the use of the AI application leads to significantly less interest in an offer among job candidates. The explorative analysis of the deployment of the AI application indicates that the person–job fit determined by the leaders can be predicted by the AIapplication. Based on the literature on algorithm aversion and digital discretion, this study provides a theoretical and empirical disentanglement of the disclosure effect and the deployment effect to inform future evaluations of AI applications in the public sector. It contributes to the understanding of how AI applications can shape public policy and management decisions, and discusses the potential benefits and downsides of disclosing and deploying AI applications in the public sector and in employer-driven recruitment." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Reconsidering Occupational Internal Labor Markets: Incidence and Consequences (2024)
Zitatform
Osterman, Paul (2024): Reconsidering Occupational Internal Labor Markets: Incidence and Consequences. In: ILR review, Jg. 77, H. 3, S. 366-395. DOI:10.1177/00197939241242089
Abstract
"What are useful ways to characterize varying employment systems? This article returns to an older idea, Internal Labor Markets (ILMs). The traditional assumption characterized ILMs as the core of the labor market but current thinking argues that ILMs have frayed. Little direct measurement has been carried out, however, and both viewpoints have relied on proxies or case studies. The author utilizes a new survey of employed US workers to provide an estimate of the incidence of ILMs and finds that between 25 and 40% percent of adult workers are in ILMs. The article then elaborates theory regarding the practices of ILMs, a theory grounded in the idea of complementary bundles of human resource practices, and asks what are the correlates of being in an ILM. Findings show that although wages in ILMs are no higher than non-ILM wages, ILMs are positively associated with other aspects of job quality and attitudes across the board." (Author's abstract, IAB-Doku) ((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
Heterogeneity in firms’ recruitment practices: New evidence from representative employer data (2023)
Zitatform
Brändle, Tobias, Philipp Grunau, Michael Haylock & Patrick Kampkötter (2023): Heterogeneity in firms’ recruitment practices: New evidence from representative employer data. In: German Journal of Human Resource Management, Jg. 37, H. 2, S. 107-136., 2022-07-21. DOI:10.1177/23970022221118346
Abstract
"The hiring and recruitment process is one of the main challenges to the success of companies and a significant driver of total labor costs. We use representative employer data for German private-sector establishments with at least 50 employees to explore recent developments in employer search, selection, and screening activities over the years of 2012–2018. We document changes in hiring policies over time and address heterogeneity across establishments related to size, ownership, and industry sector. Our results show that although establishment characteristics are correlated with different facets of hiring behavior, there is no homogeneous pattern for employer search and selection instruments. We highlight differences of hiring practices targeted at managerial versus non-managerial new hires. Finally, we outline potential mechanisms and research gaps for future work and discuss managerial implications." (Author's abstract, IAB-Doku, © SAGE) ((en))
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Literaturhinweis
Entrepreneurship, the initial labor force, and the location of new firms (2023)
Zitatform
Carias, Cristina, Steven Klepper & Rui Baptista (2023): Entrepreneurship, the initial labor force, and the location of new firms. In: Small business economics, Jg. 60, H. 3, S. 865-890. DOI:10.1007/s11187-022-00618-5
Abstract
"We propose that new firm founders locate their firms close to their home region in order to hire workers they know about through their prior employment, since it is easier to find high productivity employees among talent pools for which you have significant personal experience. We test our proposition using a matched employer–employee dataset for Portugal. Consistent with our predictions, new firms in the same industry as their founder's prior employer (i.e., spinoffs) are more likely to locate in their founder's home region, to hire workers from the founder's prior employer and other firms in the same region and industry, to employ them longer, and to perform better than other new firms. Results suggest that the agglomeration of high performing spinoffs next to their parent firms should facilitate the emergence of successful industrial clusters." (Author's abstract, IAB-Doku, © Springer-Verlag) ((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
Matching Through Search Channels (2023)
Zitatform
Carrillo-Tudela, Carlos, Leo Kaas & Benjamin Lochner (2023): Matching Through Search Channels. (CESifo working paper 10761), München, 32 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
Recruitment Policies, Job-Filling Rates and Matching Efficiency (2023)
Zitatform
Carrillo-Tudela, Carlos, Hermann Gartner & Leo Kaas (2023): Recruitment Policies, Job-Filling Rates and Matching Efficiency. In: Journal of the European Economic Association, Jg. 21, H. 6, S. 2413-2459., 2023-01-09. DOI:10.1093/jeea/jvad034
Abstract
"Recruitment intensity is important for the matching process in the labor market. Using unique linked survey-administrative data, we investigate the relationships between hiring and recruitment policies at the establishment level. Faster hiring goes along with higher search effort, lower hiring standards and more generous wages. We develop a directed search model that links these patterns to the employment adjustments of heterogenous firms. The model provides a novel structural decomposition of the matching function that we use to evaluate the relative importance of these recruitment policies at the aggregate level. The calibrated model shows that hiring standards play an important role in explaining differences in matching efficiency across labor markets defined as region/skill cross products and for the impact of labor market policy, whereas search effort and wage policies play only a minor role." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Matching Through Search Channels (2023)
Zitatform
Carrillo-Tudela, Carlos, Leo Kaas & Benjamin Lochner (2023): Matching Through Search Channels. (CEPR discussion paper / Centre for Economic Policy Research 18575), London, 32 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))