糖心Volg

Martin Huber

photo

 martin.huber@unifr.ch
 +41 26 300 8274
 

Statistik; datenbasierte Kausalanalyse; maschinelles Lernen (machine learning); Politikevaluation in der Arbeitsmarkt-, Gesundheits- und Bildungs枚konomie; semi- und nichtparametrische Mikro枚konometrie.

Ordentliche_r Professor_in
Departement f眉r Volkswirtschaftslehre

PER 21 bu. F421
Bd de P茅rolles 90
1700 Fribourg
PER 21, F421
+41 26 300 8274

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.

Forschung und Publikationen

  • 叠耻肠丑产别颈迟谤盲驳别
    6 Publikationen

    , in Moderne Verfahren der Angewandten Statistik
    Martin Huber (2024), ISBN: 9783662634967 | Buchkapitel


    Martin Huber (MIT Press, 2023) | Buch

    , in Handbook of Research Methods and Applications in Empirical Microeconomics
    Huber, M. (2021) | Buchkapitel

    , in Handbook of Labor, Human Resources and Population Economics
    Martin Huber (2020) | Buchkapitel

    , in Regionalism without regions
    Martin Huber, Denisova-Schmidt E., Pohorila, N., Prytula, Y., Tyahlo, S (2019) | Buchkapitel


    Denisova-Schmidt, E. and Huber, M. and Prytula, Y. (State Capture, Political Risks and International Business: Cases from Black Sea Region Countries, 2016) | Buch

  • Publikationen
    81 Publikationen


    Swiss Journal of Economics ans Statistics (2024) | Artikel


    (2024) | Artikel


    Computational Economics (2024) | Artikel


    International Journal of Business & Management 糖心Volg (2024) | Artikel


    Journal of Business & Economic Statistics (2024) | Artikel


    Statistics & Probability Letters (2024) | Artikel


    Review of Economics and Statistics (2024) | Artikel


    The Econometrics Journal (2023) | Artikel


    Hsu, Y.-C. and Huber, M. and Yen, Y.-M. , arXiv (2023) | Sonstiges


    PLoS ONE (2023) | Artikel

  • Working papers
    10 Publikationen


    Apfel, Nicolas and Hatamyar, Julia and Huber, Martin and Kueck, Jannis, (2024) | Working Paper


    Huber, Martin and Oe脽, Eva-Maria, (2024) | Working Paper


    Huber, Martin and Kloiber, Kevin and Laffers, Lukas, (2024) | Working Paper


    Hatamyar, Julia and Kreif, Noemi and Rocha, Rudi and Huber, Martin, (2023) | Working Paper


    Hsu, Y.-C. and Huber, M. and Yen, Y.-M. , arXiv (2023) | Sonstiges


    Kormos, M. and Lieli, R.P. and Huber, M. , arXiv (2023) | Sonstiges


    Gangl, S. and Huber, M. , SSRN (2022) | Sonstiges


    Huber, M. and Kueck, J. , arXiv (2022) | Sonstiges


    Apfel, N. and Farbmacher, H. and Groh, R. and Huber, M. and Langen, H. , arXiv (2022) | Sonstiges


    Martin Huber, Svitlana Tyahlo, (2016) | Working Paper

  • 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 
    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鈥� 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 鈥� endogenous choice of women and families 鈥� or the result of (statistic, taste, or implicit) discrimination, or both 鈥� 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

Im Vorlesungsverzeichnis anzeigen