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Martin Huber

University of Fribourg, Switzerland

This is a great project for transferring the latest research results in the field of policy analysis along with their practical implications in a digestible way to a broad audience, including practitioners and policymakers

IZA World of Labor role

Author

Current position

Chair of Applied Economics—Evaluation of Public Policies, University of Fribourg, Switzerland

Research interest

Policy/treatment effect evaluation in labor, health, and education economics, semi- and nonparametric microeconometric methods for causal inference

Website

http://www.unifr.ch/appecon/en/team/martin-huber

Past positions

Assistant Professor, University of St Gallen, 2010–2014

Qualifications

PhD Economics and Finance, University of St Gallen, 2010

Selected publications

  • "Workplace health promotion and labour market performance of employees." Journal of Health Economics 43 (2015): 170–189 (with M. Lechner and C. Wunsch).

  • "Causal pitfalls in the decomposition of wage gaps." Journal of Business and Economic Statistics 33:2 (2015): 179–191.

  • "Testing instrument validity for LATE identification based on inequality moment constraints." Review of Economics and Statistics 97:2 (2015): 398–411 (with G. Mellace).

  • "Treatment evaluation with multiple outcome periods under endogeneity and attrition." Journal of the American Statistical Association 109:508 (2014): 1697–1711 (with M. Frölich).

  • "The performance of estimators based on the propensity score." Journal of Econometrics 175:1 (2013): 1–21 (with M. Lechner and C. Wunsch).

article(s)

  • Disentangling policy effects into causal channels

    Splitting a policy intervention’s effect into its causal channels can improve the quality of policy analysis

    Martin Huber, May 2016
    Policy evaluation aims at assessing the causal effect of an intervention (for example job-seeker counseling) on a specific outcome (for example employment). Frequently, the causal channels through which an effect materializes can be important when forming policy advice. For instance, it is essential to know whether counseling affects employment through training programs, sanctions, job search assistance, or other dimensions, in order to design an optimal counseling process. So-called “mediation analysis” is concerned with disentangling causal effects into various causal channels to assess their respective importance.
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