Martin Huber

photo

 martin.huber@unifr.ch
 +41 26 300 8274
 https://orcid.org/0000-0002-8590-9402

Statistik; datenbasierte Kausalanalyse; maschinelles Lernen (machine learning); Politikevaluation in der Arbeitsmarkt-, Gesundheits- und Bildungsökonomie; semi- und nichtparametrische Mikroökonometrie.

Biografie

Professor für Angewandte Ökonometrie und Politikevaluation. Ph.D. in Economics and Finance (2010) und anschliessend Assistenzprofessor an der Universität St.Gallen (bis 2014). Forschungsaufenthalte an der Harvard Universität (2011/2012) sowie and der Universität Sydney (2014 und 2019).
Affiliationen: Ausschuss für Ökonometrie des Vereins für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), Zentrum für Europäische Wirtschaftsforschung (ZEW) Mannheim.
Forschungsinteressen: Daten-basierte Politikevaluation in der Arbeitsmarkt-, Gesundheits- und Bildungsökonomik; Weiterentwicklung von statistischen/ökonometrischen Methoden zur Messung von kausalen Effekten; Machinelles Lernen (machine learning) zur Vorhersage und Kausalanalyse.
Lebenslauf

Forschung und Publikationen

  • Forschungsprojekte

    Gender Occupational Segregation in the Swiss Apprenticeship Market: the Role of Employers in an Experimental Evaluation
    Status: Abgeschlossen

    Beginn 01.03.2018
    Ende 28.02.2019
    Finanzierung SNF  Projektblatt öffnen
    In this project, we seek to answer the question of whether chances of employment are identical for girls and boys applying for an apprenticeship position in Switzerland as measured by employers’ responses to applica-tions from equally qualified males and females. Differential performance in the labor market according to gender is well documented in the academic and popular press and a permanent fixture of everyday life. The causes – endogenous choice of women and families – or the result of (statistic, taste, or implicit) discrimination, or both – are far more difficult to pin down. This study aims to bring additional light to this important question by examining the earliest systematic labor market experience by individuals in developed economies: the process of applying for an apprenticeship position and the role employers might play in fostering occupational gender segregation. In order to identify whether employers take gender into consideration when evaluating employment applications, a correspondence test will be conducted. The study will select occupations that are commonly perceived as being male (or female), as well as other occupations that are viewed as more gender neutral, and will compare the success rate of both genders across those. The statistical comparison of success rates in invitations for interviews of males and females across these different occupation types will allow us to address the question of whether potential differential treatment is stereotypical in nature or otherwise systematic.

Lehrveranstaltungen

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