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
Decomposing Variations in Labor Market Mismatch (2026)
Zitatform
Bauer, Anja & Enzo Weber (2026): Decomposing Variations in Labor Market Mismatch. (IAB-Discussion Paper 03/2026), Nürnberg, 19 S. DOI:10.48720/IAB.DP.2603
Abstract
"Dieses Diskussionspapier zeigt, wie Veränderungen des Arbeitsmarkt-Mismatch auf die Komponenten Arbeitslosigkeit, offene Stellen und Matchingeffizienz zurückgeführt werden können. Wir stellen fest, dass die Arbeitslosigkeit der wichtigste Faktor ist und auch die zyklischen Schwankungen bestimmt, während die Beiträge der offenen Stellen geringer und antizyklisch sind. Wir unterscheiden nach der Ursache der Arbeitslosigkeit und zeigen, dass Ströme gegenüber der Beschäftigung den Mismatch verstärken, während dies für Nichtbeschäftigung und Ausbildung / Weiterbildung nicht der Fall ist." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Wage effects of skill mismatches across domains: the importance of ICT skills (2026)
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Bischof, Stephan & Rolf van der Velden (2026): Wage effects of skill mismatches across domains: the importance of ICT skills. In: Oxford economic papers. DOI:10.1093/oep/gpag001
Abstract
"To date, it is unclear in which skills mismatches are most relevant for individuals’ wages, and whether surpluses or deficits in one domain can offset those in another. This study addresses these gaps by examining how mismatches in five key skill domains (ICT, reading, mathematics, science, and reasoning) are linked to individuals’ wages. Utilizing data from the 2016 wave of the German National Educational Panel Study (NEPS) Adult Cohort, our findings reveal that skill deficits consistently result in lower wages, whereas surpluses do not pay off in each domain. Notably, mismatches in ICT skills are most significant for individuals’ wages: ICT deficits not only reduce wages, but can also negate wage benefits from surpluses in other skills. Conversely, ICT surpluses can compensate for wage penalties associated with deficits in other domains. These findings underscore the importance of digital skills for productivity and wage potential in the modern labour market." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Labor Demand on a Tight Leash (2026)
Zitatform
Bossler, Mario & Martin Popp (2026): Labor Demand on a Tight Leash. In: ILR review, S. 1-35. DOI:10.1177/00197939261435961
Abstract
"Using detailed information on vacancies and job seekers, the authors study the effect of labor market tightness on labor demand for the near-universe of German firms. To this end, novel Bartik instruments are constructed that combine firms’ predetermined employment shares with nationwide shifts at the occupational level. The results show that tightness significantly reduces firms’ labor demand, implying that the observed doubling in tightness between 2012 and 2019 reduced employment by 5%. At the aggregate level, the negative tightness effect creates search externalities, which reduce the own-wage elasticity of labor demand from −0.7 to −0.5 through reallocation of workers between firms. To guide the analysis, the authors embed elements of the canonical search-and-matching model into a labor demand equation, while allowing vacancy posting costs to increase in tight markets. Through the lens of this model, the pre-match component of hiring costs amounts to 16–24% of annual wage payments." (Author's abstract, IAB-Doku, © Sage) ((en))
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Literaturhinweis
Finding a job through social networks: monetary and nonmonetary returns for employed and unemployed job seekers (2026)
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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. 1-34. 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
Matching for three: The search activities of workers, firms, and employment services (2026)
Zitatform
Hartl, Tobias, Christian Hutter & Enzo Weber (2026): Matching for three: The search activities of workers, firms, and employment services. In: Economic Modelling, Jg. 155, 2025-12-08. DOI:10.1016/j.econmod.2025.107434
Abstract
"The standard labour market matching function neglects a substantial variation of hirings. A crucial driver of this latent part is the search intensity of job seekers and firms, as well as the placement intensity of employment agencies. However, there is still a lack of integration of all three search and placement intensities into a unified theoretical framework. Their combined labour market effects have not been estimated so far. We feed all three intensities into the theoretical framework of a labour market matching function to estimate their impact on the job finding rate – effects which are not settled a priori. This could provide important stylised facts for subsequent theory building. For measuring the search and placement intensities, we use big data on online activity obtained from the job exchange of the German Federal Employment Agency and from its internal placement-software. The results show that all three intensities significantly contribute to the variation in job findings beyond vacancies and unemployment. During the COVID-19 crisis, reduced search intensities accounted for 44 percent of lost hirings and 16 percent of the labour market related increase in unemployment." (Author's abstract, IAB-Doku, © 2025 Elsevier) ((en))
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Literaturhinweis
Projecting Labour Market Imbalances and Skill Mismatch Under Demographic Change in the EU (2026)
Zitatform
Marois, Guillaume, Michaela Potancoková, Agnieszka Bezat & Jesús Crespo Cuaresma (2026): Projecting Labour Market Imbalances and Skill Mismatch Under Demographic Change in the EU. In: European Journal of Population, Jg. 42, H. 1. DOI:10.1007/s10680-025-09758-2
Abstract
"We assess long-term labour mismatches in the European Union (EU27) by projecting the occupational distribution of workers and skill-specific labour demand up to 2060. Using a dynamic microsimulation approach (Link4Skills-Mic ), we jointly model demographic, educational, and labour force dynamics at the individual level and combine country-specific projections of labour supply with projections of occupational demand. The analysis highlights growing imbalances: although the supply of highly educated workers continues to rise, shifts in demand are not evenly distributed across skill levels. Consequently, underutilization of high-skilled workers is projected to coexist with persistent vacancies in medium- and low-skilled occupations. Rather than indicating widespread labour shortages, these trends point to structural mismatches driven by the misalignment of worker qualifications, job characteristics, and hiring practices. To explore potential responses, we examine a series of policy scenarios such as expanded immigration, education reform, mid-career retraining, delayed retirement, and employer-led automation and upskilling. The findings show that, while certain policies can reduce specific mismatches, no single intervention closes all the gaps that emerge. Notably, automation reduces vacancies but increases underutilization, whereas human capital strategies shift mismatches across skill levels. These results suggest that addressing future labour mismatches will require coordinated, comprehensive and varied strategies that integrate demographic realities with evolving job demands in Europe’s ageing and increasingly digitalized and knowledge-based economies." (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
The Impact of Higher Education on Employer Perceptions (2026)
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Stans, Renske, Laura Ehrmantraut, Malin Siemers & Pia Pinger (2026): The Impact of Higher Education on Employer Perceptions. In: The Economic Journal, Jg. 136, H. 674, S. 602-625. DOI:10.1093/ej/ueaf061
Abstract
"Do employers seek to attract individuals with more education because it enhances human capital or because it signals higher levels of pre-existing traits? We experimentally vary master’s degree completion rates on applicant résumés and examine how this influences candidates’ desirability and employer perceptions of their productive characteristics. Our findings show that while a completed master’s degree increases desirability, an incomplete master’s degree is perceived by human resource managers as less favorable than a bachelor’s degree. This suggests that employersprefer candidates with higher education mainly because they view the degree as a signal of pre-existing productive traits. Consistent with this, employers perceive both cognitive and non-cognitive traits as stronger in master graduates but non-cognitive traits as weaker in master dropouts compared to bachelor’s degree holders. Overall, perceived cognitiveand non-cognitive traits play a larger role in determining a candidate ’s attractiveness than expertise. This paper thus provides causal evidence on the origins of the education premium." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Older Worker’s Job Search Activities and Employment Transition (2026)
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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)
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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
How did you find your job? Effects of the job search channels on labour market outcomes in Germany (2025)
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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
Job Applications and Labor Market Flows (2025)
Zitatform
Birinci, Serdar, Kurt See & Shu Lin Wee (2025): Job Applications and Labor Market Flows. In: The Review of Economic Studies, Jg. 92, H. 3, S. 1438-1496. DOI:10.1093/restud/rdae064
Abstract
"Job applications have risen over time, yet job-finding rates remain unchanged. Meanwhile, separations have declined. We argue that increased applications raise the probability of a good match rather than the probability of job-finding. Using a search model with multiple applications and costly information, we show that when applications increase, firms invest in identifying good matches, reducing separations. Concurrently, increased congestion and selectivity over which offer to accept temper increases in job-finding rates. Our framework contains testable implications for changes in offers, acceptances, reservation wages, applicants per vacancy, and tenure, objects that enable it to generate the trends in unemployment flows." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Hiring opportunities for new firms and the business cycle (2025)
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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
Job search under changing labour taxes (2025)
Zitatform
Bryson, Alex & Harald Dale-Olsen (2025): Job search under changing labour taxes. In: Labour Economics, Jg. 95. DOI:10.1016/j.labeco.2025.102750
Abstract
"Workers’ job mobility decisions are related to firms’ wage policies but also depend on tax schedules. Using Norwegian population-wide administrative linked employer-employee data for 2010–2019, we study how the job-to-job turnover of employees is affected by marginal taxes and firms’ pay policies, thus drawing inferences on job search behaviour. By paying higher wages, job-to-job separation rates drop, but this negative relationship is weakened when income taxes increase, consistent with higher taxes reducing search activity. However, consistent with theory, the tax effect is smaller where workers receive performance bonuses." (Author's abstract, IAB-Doku, © 2025 The Author(s). Published by Elsevier B.V.) ((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
Essays on Wages and Minimum Wages in Frictional Labor Markets (2025)
Börschlein, Erik-Benjamin;Zitatform
Börschlein, Erik-Benjamin (2025): Essays on Wages and Minimum Wages in Frictional Labor Markets. 237 S. DOI:10.5283/epub.76880
Abstract
"In Deutschland ist das Zusammenspiel zwischen Löhnen und institutionellen sowie marktbedingten Friktionen ein zentrales Thema wirtschaftspolitischer Debatten. Diese Dissertation untersucht in drei empirischen Studien kausale Zusammenhänge zwischen Löhnen und Mindestlöhnen, Matchingfriktionen und Arbeitsmarktanspannung. Die Analysen basieren auf umfangreichen administrativen Daten der Bundesagentur für Arbeit und nutzen fortgeschrittene ökonometrische Methoden zur kausalen Inferenz. Die ersten beiden Kapitel betrachten institutionelle Effekte – insbesondere die Einführung des gesetzlichen Mindestlohns im Jahr 2015 – während das dritte Kapitel den Fokus auf veränderte Marktbedingungen legt, insbesondere den zunehmenden Fachkräftemangel. Ziel ist es, die Wirkungsmechanismen zwischen Löhnen und Arbeitsmarktfriktionen differenziert darzustellen. Kapitel 1 Dieses Kapitel entwickelt einen innovativen Machine-Learning-Ansatz zur verbesserten Schätzung langfristiger Lohneffekte des Mindestlohns. Übliche Studien basieren auf einem fixen Pre-Treatment-Indikator („Bite“), basierend auf Löhnen vor der Politikmaßnahme, der die Betroffenheit von der Mindestlohneinführung nur kurzfristig akkurat abbildet. Um langfristige dynamische Veränderungen zu erfassen, werden hier ein zeitvariable Bite-Indikatoren mittels LASSO-basierter Vorhersagemodelle konstruiert, welche die Inzidenz und die Intensität der Mindestlohnbetroffenheit abbilden. Basierend auf administrativen Daten der Jahre 2010–2014 wird die Mindestlohnbetroffenheit für den Zeitraum 2015–2020 vorhergesagt. In der anschließenden Differenz-von-Differenzen-Analyse zeigen sich signifikant positive Lohneffekte, die im Vergleich zu herkömmlichen Methoden jedoch geringer ausfallen und über die Zeit konstant bleiben. Die Ergebnisse deuten darauf hin, dass traditionelle Evaluierungen die Effekte überschätzen könnten, da sie dynamische Selektionseffekte und mindestlohnunabhängige Lohnentwicklungen nicht ausreichend berücksichtigen. Kapitel 2 In diesem Kapitel wird untersucht, wie sich die Einführung des Mindestlohns auf offene Stellen und damit verbundene Friktionen im Matching-Prozess ausgewirkt hat. Die Analyse basiert auf administrativen Vakanzdaten und Erwerbsbiographien. Die Analyse erfolgt auf der Berufsebenen für den Zeitraum 2013–2019 und nutzt ein Differenz-von-Differenzen-Design. Die Ergebnisse zeigen, dass die Anzahl neu gemeldeter Stellen durch die Mindestlohneinführung insgesamt nicht zurückging. Jedoch stieg der Anteil stornierter Vakanzen um 4–9 Prozent, und die Dauer erfolgreicher Besetzungsprozesse erhöhte sich um 5–6 Prozent. Dies deutet auf verstärkte Such- und Matchingfriktionen hin, etwa durch höhere Einstellungsstandards oder reduzierte berufliche Mobilität. Ergänzende Analysen zeigen geringere Übergänge zwischen Arbeitgebern, insbesondere bei Berufswechseln. Somit wird deutlich, dass die Mindestlohneinführung zwar nur geringe Auswirkungen auf die Beschäftigung hatte, aber dennoch Matchingprozesse erheblich beeinflusst hat. Kapitel 3 Dieses Kapitel wechselt die Perspektive und untersucht, wie zunehmende Arbeitsmarktanspannung – gemessen als Verhältnis von offenen Stellen zu Arbeitssuchenden – die Lohnentwicklung beeinflusst hat. Mithilfe eines Leave-One-Out-Instruments wird der kausale Effekt lokaler Arbeitsmarktanspannung in beruflichen Arbeitsmärkten auf Löhne geschätzt. Die Ergebnisse zeigen moderate, aber signifikant positive Lohneffekte, die etwa 7–19 Prozent des realen Lohnwachstums in Deutschland zwischen 2012 und 2022 erklären. Besonders stark profitieren neu Eingestellte, Hochqualifizierte, Beschäftigte im Dienstleistungssektor und Arbeitnehmer in Ostdeutschland. Zudem steigt der Lohn in Niedriglohnunternehmen überdurchschnittlich stark, was auf eine Verringerung der Lohnungleichheit hindeutet. Im Gesamtfazit werden die Erkenntnisse der drei Studien zusammengeführt. Die Arbeit zeigt, wie institutionelle Eingriffe wie der Mindestlohn einerseits Löhne anheben, gleichzeitig aber neue Friktionen erzeugen können. Andererseits können veränderte Marktbedingungen auch ohne staatliche Eingriffe Löhne steigern – wie etwa bei hoher Arbeitsmarktanspannung. Methodisch hebt die Dissertation die Bedeutung administrativer Mikrodaten und robuster kausaler Analyseverfahren in der Arbeitsmarktforschung hervor." (Autorenreferat, IAB-Doku)
Beteiligte aus dem IAB
Börschlein, Erik-Benjamin; -
Literaturhinweis
Is labor matching effectiveness dependent on education level, age or gender? (2025)
Zitatform
Cheregi, Valentina Ioana (2025): Is labor matching effectiveness dependent on education level, age or gender? In: Baltic journal of economics, Jg. 25, H. 1, S. 1-20. DOI:10.1080/1406099x.2024.2442841
Abstract
"This paper explores the role of employment pool composition on labor matching effectiveness in ten Central and Eastern European countries from 2005 to 2023. We control for the structure of the labor force in terms of education, age, and gender. The results point towards a significant impact of labor force structure on labor market outcomes. In particular, an improvement in labor matching is associated with a larger share of the labor force with advanced education. In contrast, the opposite is true for the share of women and younger persons in the labor force. The results are robust to different specifications of the model when we control for the role of institutional factors in regulating national labor markets. From a policy perspective, this study highlights the need for targeted policies to increase the efficiency of the matching process aimed at specific structures of the labor force." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Marshallian agglomeration, labour pooling and skills matching (2025)
Zitatform
Corradini, Carlo, David Morris & Enrico Vanino (2025): Marshallian agglomeration, labour pooling and skills matching. In: Cambridge Journal of Economics, Jg. 49, H. 3, S. 527-557. DOI:10.1093/cje/beaf010
Abstract
"Better skills matching has long been proposed as one of the key advantages of agglomeration economies. Yet, support for this improved matching has remained largely founded upon indirect proxies for skills such as wages and education. This paper contributes to the literature by offering novel empirical evidence on the relationship between specific measures of localised skills deficiencies and agglomeration economies, in the form of industrial density. Developing an instrumental variable approach and controlling for unobserved heterogeneity and other region-industry idiosyncratic effects across a panel dataset for the period 2009–2019 in England and Wales, our analysis reveals a positive effect of agglomeration economies in reducing both skills gaps within the employed workforce and skills shortages in the labour market external to the firm. We consider these findings in the context of persistent regional imbalances and the importance of strengthening skills provision within current regional industrial strategies." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Job Mismatch and Early Career Success (2025)
Zitatform
Cullen, Julie Berry, Gordon B. Dahl & Richard De Thorpe (2025): Job Mismatch and Early Career Success. (CESifo working paper 12104), München, 47 S.
Abstract
"How does being over- or underqualified at the beginning of a worker's career affect skill acquisition, retention, and promotion? Despite the importance of mismatch for the labor market, self-selection into jobs has made estimating these effects difficult. We overcome endogeneity concerns in the context of the US Air Force, which allocates new enlistees to over 130 different jobs based, in part, on test scores. Using these test scores, we create simulated job assignments based on factors outside of an individual's control: the available slots in upcoming training programs and the quality of other recruits entering at the same time. These factors create quasi-random variation in job assignment and hence how cognitively demanding an individual's job is relative to their own ability. We find that being overqualified for a job causes higher attrition, both during technical training and afterward when individuals are working in their assigned jobs. It also results in more behavioral problems, worse performance evaluations, and lower scores on general knowledge tests about the military taken by all workers. On the other hand, overqualification results in better performance relative to others in the same job: job-specific test scores rise both during technical training and while on the job, and these individuals are more likely to be promoted. Combined, these patterns suggest that overqualified individuals are less motivated, but still outperform others in their same job. Underqualification results in a polar opposite set of findings, suggesting these individuals are motivated to put forth more effort, but still struggle to compete when judged relative to others. Consistent with differential incentives, individuals who are overqualified are in jobs which are less valuable in terms of outside earnings potential, while the reverse is true for those who are underqualified." (Author's abstract, IAB-Doku) ((en))