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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

    The Potential of Recommender Systems for Directing Job Search: A Large-Scale Experiment (2024)

    Behaghel, Luc; Hazard, Yagan; Gurgand, Marc; Dromundo, Sofia; Zuber, Thomas;

    Zitatform

    Behaghel, Luc, Sofia Dromundo, Marc Gurgand, Yagan Hazard & Thomas Zuber (2024): The Potential of Recommender Systems for Directing Job Search: A Large-Scale Experiment. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 16781), Bonn, 65 S.

    Abstract

    "We analyze the employment effects of directing job seekers' applications toward establishments likely to recruit. We run a two-sided randomization design involving about 800,000 job seekers and 40,000 establishments, based on an empirical model that recommends each job seeker to firms so as to maximize total potential employment. Our intervention induces a 1% increase in job finding rates for short term contracts. This impact comes from a targeting effect combining (i) a modest increase in job seekers' applications to the very firms that were recommended to them, and (ii) a high success rate conditional on applying to these firms. Indeed, the success rate of job seekers' applications varies considerably across firms: the efficiency of applications sent to recommended firms is 2.7 times higher than the efficiency of applications to the average firm. This suggests that there can be substantial gains from better targeting job search, leveraging firm-level heterogeneity." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Asymmetric market power and wage suppression (2024)

    Blumkin, Tomer ; Lagziel, David;

    Zitatform

    Blumkin, Tomer & David Lagziel (2024): Asymmetric market power and wage suppression. In: The Scandinavian Journal of Economics, Jg. 126, H. 1, S. 38-59. DOI:10.1111/sjoe.12545

    Abstract

    "We study a labor market in which two identical firms compete over a pool of homogenous workers. Firms pre-commit to their outreach to potential employees, either through their informative advertising choices, or through their screening processes, before engaging in a wage competition ('a la Bertrand). Although firms are homogeneous, the unique pure-strategy equilibrium is asymmetric: one firm maximizes its outreach whereas the other compromises on a significantly smaller market share. The features of the asymmetric equilibrium extend to a general oligopsony with any finite number of firms. This article is protected by copyright. All rights reserved." (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons) ((en))

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  • Literaturhinweis

    The cyclicality of on-the-job search (2024)

    Bransch, Felix ; Mihm, Benedikt; Malik, Samreen;

    Zitatform

    Bransch, Felix, Samreen Malik & Benedikt Mihm (2024): The cyclicality of on-the-job search. In: Labour Economics, Jg. 87. DOI:10.1016/j.labeco.2024.102517

    Abstract

    "On-the-job search is increasingly recognized as an important potential driver of labor market dynamics over the business cycle. Using the UK Labor Force Survey, we find robust empirical evidence that on-the-job search is countercyclical and that the cyclical fluctuations have important repercussions for labor market dynamics. We also find that the cyclical pattern is not explained by precautionary search motives but rather appears to be driven by job-ladder-motivated searches. This finding is surprising because, as we confirm, the expected returns to on-the-job search are procyclical. We find evidence that three features of search behavior may contribute to this finding: greater search effort in response to lower job-to-job transition probabilities, a prevalence of non-pecuniary motivated searches that are less affected by lower expected wage gains, and procyclicality in average match quality, which has a significant impact on the search behavior of new hires over the business cycle." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))

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  • Literaturhinweis

    How workers and firms meet in the labor market and why it matters (2024)

    Carillo-Tudela, Carlos; Kaas, Leo; Lochner, Benjamin ;

    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))

    Beteiligte aus dem IAB

    Lochner, Benjamin ;
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  • Literaturhinweis

    Risk and the allocation of talent in the Roy model (2024)

    Cubas, German; Soini, Vesa ; Silos, Pedro;

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    Cubas, German, Pedro Silos & Vesa Soini (2024): Risk and the allocation of talent in the Roy model. In: Economics Letters, Jg. 236. DOI:10.1016/j.econlet.2024.111623

    Abstract

    "With risk-averse workers and uninsurable earnings shocks, competitive markets allocate too few workers to risky jobs. Using an equilibrium Roy model with incomplete markets, we show that in competitive equilibrium, risky occupations are inefficiently small and hence talent is misallocated." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))

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  • Literaturhinweis

    In search of a job—But which one? How unemployed people revise their occupational expectations (2024)

    Demazière, Didier ;

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    Demazière, Didier (2024): In search of a job—But which one? How unemployed people revise their occupational expectations. In: Social Policy and Administration online erschienen am 06.02.2024. DOI:10.1111/spol.13011

    Abstract

    "Conducting a job search implies the identification of a target—an intended job. However, this assumption has been little studied, and just two main conclusions have been drawn, namely: jobseekers have an incentive to adjust their targets to the jobs available, and returning to work tends to lead to occupational downgrading. This article explores how job search experiences shape and alter targets. Biographical interviews were conducted with 57 unemployed people registered with the French public employment service. Ultimately, all of them revise their occupational expectations as, faced with the uncertainties inherent to the job search and experiencing difficulties in reaching their priority targets, they try to adapt and define more realistic goals. Four contrasting processes of expectation revision are used to track these tensions between desirability and realism. In conclusion, we stress the following facts: that unemployed people are flexible and develop rationales in order to adapt to the labour market; that their experience of failure, alongside advice and beliefs arising in the course of the job search feed directly into these revisions, and that these revisions both vary in magnitude and reflect inequalities in the defining process of target jobs." (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons) ((en))

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  • Literaturhinweis

    "New Plan", berufliche Weiterentwicklung und die Rolle von Informationen (2024)

    Dohmen, Thomas ; Künn, Steffen; Kleifgen, Eva ; Stephan, Gesine ;

    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)

    Beteiligte aus dem IAB

    Kleifgen, Eva ; Stephan, Gesine ;
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  • Literaturhinweis

    Search, unemployment, and the Beveridge curve: Experimental evidence (2024)

    Duffy, John; Jenkins, Brian C. ;

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    Duffy, John & Brian C. Jenkins (2024): Search, unemployment, and the Beveridge curve: Experimental evidence. In: Labour Economics, Jg. 87. DOI:10.1016/j.labeco.2024.102518

    Abstract

    "We report on a laboratory experiment testing the predictions of the Diamond–Mortensen–Pissarides (DMP) search-and-matching model, which is a workhorse, decentralized model of unemployment and the labor market. We focus on the job vacancy posting problem that firms face in the DMP model. We explore the model’s comparative statics predictions concerning variations in the separation rate, the vacancy posting cost, and the firm’s surplus earned per employee. Across all treatments, we find strong evidence for an inverse relationship between vacancies and unemployment, consistent with the Beveridge curve. We also find that the results of our various comparative statics exercises are in-line with the predictions of the theory." (Author's abstract, IAB-Doku, © 2024 Elsevier) ((en))

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  • Literaturhinweis

    Social media and hiring: a survey experiment on discrimination based on online social class cues (2024)

    Galos, Diana Roxana ;

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    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

    IAB-Monitor Arbeitskräftebedarf 4/2023: Rückgang der offenen Stellen insbesondere bei kleinen und mittelgroßen Betrieben (Serie Arbeitskräftesicherung ) (2024)

    Gürtzgen, Nicole; Kubis, Alexander; Popp, Martin ;

    Zitatform

    Gürtzgen, Nicole, Alexander Kubis & Martin Popp (2024): IAB-Monitor Arbeitskräftebedarf 4/2023: Rückgang der offenen Stellen insbesondere bei kleinen und mittelgroßen Betrieben (Serie Arbeitskräftesicherung ). In: IAB-Forum H. 19.03.2024 Nürnberg. DOI:10.48720/IAB.FOO.20240319.01

    Abstract

    "Das gesamtwirtschaftliche Stellenangebot ist gegenüber dem Vorjahresquartal weiterhin rückläufig, im Vergleich zum Vorquartal jedoch stabil. Insgesamt ist der Arbeitskräftebedarf nach wie vor hoch. Allerdings gibt es deutliche Unterschiede nach Branchen und Betriebsgröße." (Autorenreferat, IAB-Doku)

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  • Literaturhinweis

    What Skills Pay More? The Changing Demand and Return to Skills for Professional Workers (2024)

    Josten, Cecily; Krause, Helen; Yeung, Brian; Lordan, Grace;

    Zitatform

    Josten, Cecily, Helen Krause, Grace Lordan & Brian Yeung (2024): What Skills Pay More? The Changing Demand and Return to Skills for Professional Workers. (IZA discussion paper / Forschungsinstitut zur Zukunft der Arbeit 16755), Bonn, 72 S.

    Abstract

    "Technology is disrupting labor markets. We analyze the demand and reward for skills at occupation and state level across two time periods using job postings. First, we use principal components analysis to derive nine skills groups: 'collaborative leader', 'interpersonal & organized', 'big data', 'cloud computing', 'programming', 'machine learning', 'research', 'math' and 'analytical'. Second, we comment on changes in the price and demand for skills over time. Third, we analyze non-linear returns to all skills groups and their interactions. We find that 'collaborative leader' skills become significant over time and that legacy data skills are replaced over time by innovative ones." (Author's abstract, IAB-Doku) ((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)

    Keppeler, Florian;

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    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

    Firm Productivity, Wages, and Sorting (2024)

    Lochner, Benjamin ; Schulz, Bastian ;

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    Lochner, Benjamin & Bastian Schulz (2024): Firm Productivity, Wages, and Sorting. In: Journal of labor economics, Jg. 42, H. 1, S. 85-119., 2022-09-13. DOI:10.1086/722564

    Abstract

    "We study the link between firm productivity and the wages that firms pay. Guided by a search-matching model with large firms, worker and firm heterogeneity, and production complementarities, we infer firm productivity by estimating firm-level production functions. Using German data, we find that the most productive firms do not pay the highest wages. Worker transitions from high- to medium-productivity firms are on average associated with wage gains. Productivity sorting, that is, the sorting of high-ability workers into high-productivity firms, is less pronounced than the sorting into high-wage firms." (Author's abstract, IAB-Doku, © University of Chicago Press) ((en))

    Beteiligte aus dem IAB

    Lochner, Benjamin ;
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  • Literaturhinweis

    Arbeitslose im Fokus: Wege zur Fachkräftesicherung (2024)

    Tiedemann, Jurek; Werner, Dirk;

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    Tiedemann, Jurek & Dirk Werner (2024): Arbeitslose im Fokus: Wege zur Fachkräftesicherung. (KOFA kompakt / Kompetenzzentrum Fachkräftesicherung 2024,01), Köln, 5 S.

    Abstract

    "Nicht für alle Arbeitslosen gibt es zum Zeitpunkt ihrer Arbeitssuche eine offene Stelle in ihrem angestrebten oder erlernten Beruf. Der vorliegende KOFA Kompakt beleuchtet die Entwicklung dieses Arbeitslosenüberhangs." (Autorenreferat, IAB-Doku)

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  • Literaturhinweis

    Minimum Wage and Skills - Evidence from Job Vacancy Data (2023)

    Andrieu, Elodie; Kuczera, Malgorzata;

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    Andrieu, Elodie & Malgorzata Kuczera (2023): Minimum Wage and Skills - Evidence from Job Vacancy Data. (TPI working papers / The Productivity Institute 034), Manchester, 62 S.

    Abstract

    "Low-wage occupations tend to be populated by workers with low levels of education. An increase in the minimum wage, while designed to protect workers in the lower part of the wage distribution, might result in unintended consequences for those same workers. In this paper, we study firms’ reaction to higher minimum wages, exploiting a change to the minimum-wage policy in the UK in 2016. We document how an increase in the minimum wage affects the labour hiring for different education and technical skill levels of workers. The results show that an increase in the minimum wage compressed both the demand for low educated workers and the demand for workers with low levels of technical skills (tech workers) for graduates in low and middle skilled occupations. Using a difference-in-differences framework, we find that a large and unexpected change to the minimum wage led to a 11 percentage point decrease in the proportion of non-graduate vacancies and a 15 percentage point decline in the share of low-tech ads. There is evidence for labour-labour substitution at the low-end of the skill distribution and labour-technology substitution for more educated workers as a way to compensate for labour costs increases." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    But which skills? Natural Language Processing tools and the identification of high-demand skills in online Job advertisements (2023)

    Anelli, Gianni;

    Zitatform

    Anelli, Gianni (2023): But which skills? Natural Language Processing tools and the identification of high-demand skills in online Job advertisements. In: Work Organisation, Labour and Globalisation, Jg. 17, H. 2, S. 91-104.

    Abstract

    "Skills assessment is essential for today’s labor market.There are many factors hat change the requirements for the workplace. More than ever, it is important to monitor which skills are in high demand so that workers stay employed and ompanies do not lose productivity. This research discusses the relevance of data from online job portals for this task. It then uses a skill extractor in online ob advertisements from Chile to identify and extract the skills employers place n their online job advertisements through skills dictionaries. The study shows  modest results when using the European Skills, Competences and Occupations 28ESCO) dictionary but an enhanced and much-improved result when adding an inductively constructed dictionary of the national labor market. Using this method would allow a new input of information to be incorporated into labor arket information systems that would enable better decisions to be made by he various actors in the labor market." (Author's a bstract, IAB-Doku, © Pluto Journals Ltd.) ((en))

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  • Literaturhinweis

    Educational mismatches of newly hired workers: Short- and medium-term effects on wages (2023)

    Araújo, Isabel; Carneiro, Anabela;

    Zitatform

    Araújo, Isabel & Anabela Carneiro (2023): Educational mismatches of newly hired workers: Short- and medium-term effects on wages. In: International Labour Review, Jg. 162, H. 3, S. 355-383. DOI:10.1111/ilr.12374

    Abstract

    "This paper examines the short- and medium-term effects of over- and undereducation on individual wages using a matched employer?employee dataset from 1998 to 2012 and a novel measure of educational mismatch based on the flows of newly hired workers. The findings reveal that the wage differential between adequately matched and mismatched workers decreases substantially once the unobserved heterogeneity of the worker and the firm is considered. Workers' unobserved characteristics explain a large proportion of both the overeducated wage penalty and the undereducated wage premium. Additionally, variations in firms' pay policies contribute to the wage gap among mismatched workers. Finally, findings show that job mismatches have the greatest impact on early-career individuals' wages." (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons) ((en))

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  • Literaturhinweis

    Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech (2023)

    Avery, Mallory; Vecci, Joseph; Leibbrandt, Andreas;

    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

    What does job applicants' body art signal to employers? (2023)

    Baert, Stijn ; Herregods, Jolien; Sterkens, Philippe ;

    Zitatform

    Baert, Stijn, Jolien Herregods & Philippe Sterkens (2023): What does job applicants' body art signal to employers? (Working paper / Ghent University. Faculty of Economics and Business Administration 2023,1072), Gent, 30 S.

    Abstract

    "In this study, we present a state-of-the-art scenario experiment which, for the first time in the literature, directly measures the stigma surrounding job candidates with tattoos and piercings using real recruiters. We find that job candidates with body art are perceived as less pleasant to work with, less honest, less emotionally stable, less agreeable, less conscientious and less manageable. This goes hand in hand with lower hireability for men with body art but not for women. Compared to candidates who reveal obesity, a characteristic we also randomise, those with body art score better overall in terms of hireability and rated personality, similar in terms of rated taste to collaborate but worse in terms of rated direct productivity drivers." (Author's abstract, IAB-Doku) ((en))

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  • Literaturhinweis

    Gender-age differences in hiring rates and prospective wages: Evidence from job referrals to unemployed workers (2023)

    Bamieh, Omar ; Ziegler, Lennart ;

    Zitatform

    Bamieh, Omar & Lennart Ziegler (2023): Gender-age differences in hiring rates and prospective wages. Evidence from job referrals to unemployed workers. In: Labour Economics, Jg. 83. DOI:10.1016/j.labeco.2023.102395

    Abstract

    "This paper uses matched worker-vacancy data to study gender differences in hiring outcomes of jobseekers in Austria. When registered at the public employment office, jobseekers are assigned caseworkers who refer them to suitable vacancies. Our findings show that female and male jobseekers are equally likely to get hired via such a referral, but it takes women longer to get a job offer. Most of the observed gender differences stem from younger jobseekers (below age 35) and are explained by rejections of employers. Young women are also less often hired for better-paying jobs. We argue that these differences are consistent with hiring discrimination against women in their fertile age. Our analysis shows that young female jobseekers are much more likely to go on parental leave in the future, while men almost never take extended parental leave. Consistent with this hypothesis, we find that hiring differences are larger for jobs associated with higher replacement costs and smaller in tight labor markets." (Author's abstract, IAB-Doku, © 2023 Elsevier) ((en))

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