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Vita

Boris Hirsch (born 1981) has been Full Professor (W3) of Economics, in particular Microeconometrics and Policy Evaluation at the Leuphana University of Lüneburg since August 2016. From 2001‒2006 he studied economics at the University of Erlangen-Nuremberg and from 2004‒2006 mathematics at the University of Hagen. From 2006‒2009 he was PhD student and foundationer of the Bavarian Graduate Program in Economics. In 2009, he received his doctorate degree from the University of Erlangen-Nuremberg where he was postdoctoral researcher from 2009‒2016.

His research interests lie in the theory and empirics of imperfectly competitive labour markets, empirical labour economics, and industrial relations. His research appeared in outlets such as the Economic Journal, the Journal of Labor Economics, the Journal of Human Resources, and the ILR Review. He serves as an editor to the German Economic Review and as an associate editor the Journal for Labour Market Research and is Research Fellow of the Halle Institute for Economic Research (IWH), of the Labor and Socio-Economic Research Center (LASER) at the University of Erlangen-Nuremberg, and of the IZA Institute of Labor Economics (IZA) as well as co-opted member and deputy chairperson of the Standing Field Committee of Labour and Population Economics of the Verein für Socialpolitik (VfS).

(Detailed CV)

 

Selected Publications:

Dobbelaere, S., Hirsch, B., Müller, S., and Neuschäffer, G. (2024), “Organized labor, labor market imperfections, and employer wage premia”, ILR Review, 77(3): 396‒427

Hirsch, B., Jahn, E. J., Manning, A., and Oberfichtner, M. (2022), “The urban wage premium in imperfect labor markets”, Journal of Human Resources, 57(S): S111‒S136

Hirsch, B., and Müller, S. (2020), “Firm wage premia, industrial relations, and rent sharing in Germany”, ILR Review, 73(5): 1119‒1146

Hirsch, B., Jahn, E. J., and Schabel, C. (2018), “Do employers have more monopsony power in slack labor markets?”, ILR Review, 71(3): 676‒704

Hirsch, B. (2016), “Dual labor markets at work: The impact of employers’ use of temporary agency work on regular workers’ job stability”, ILR Review, 69(5): 1191‒1215

Hirsch, B., and Jahn, E. J. (2015), “Is there monopsonistic discrimination against immigrants?”, ILR Review, 68(3): 501‒528

Hirsch, B., and Müller, S. (2012), “The productivity effect of temporary agency work: Evidence from German panel data”, Economic Journal, 122(562): F216‒F235

Hirsch, B., Schank, T., and Schnabel, C. (2010), “Differences in labor supply to monopsonistic firms and the gender pay gap: An empirical analysis using linked employer‒employee data from Germany”, Journal of Labor Economics, 28(2): 291‒330

Publications

Journal contributions

  1. The urban wage premium in imperfect labor markets
    Boris Hirsch (Author) , Elke J. Jahn (Author) , Alan Manning (Author) , Michael Oberfichtner (Author) , 01.04.2022 , in: Journal of Human Resources, 57, SpecialIssue 1 , p. S111-S136 , 26 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  2. Firm wage premia, industrial relations, and rent sharing in Germany
    Boris Hirsch (Author) , Steffen Müller (Author) , 01.10.2020 , in: Industrial and Labor Relations Review, 73, 5 , p. 1119-1146 , 28 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. Dual labor markets at work: The impact of employers' use of temporary agency work on regular workers' job stability
    Boris Hirsch (Author) , 01.10.2016 , in: Industrial and Labor Relations Review, 69, 5 , p. 1191-1215 , 25 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  4. The productivity effect of temporary agency work: Evidence from German panel data
    Boris Hirsch (Author) , Steffen Mueller (Author) , 01.08.2012 , in: The Economic Journal, 122, 562 , p. F216-F235 , 20 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  5. Differences in labor supply to monopsonistic firms and the gender pay gap: An empirical analysis using linked employer–employee data from Germany
    Boris Hirsch (Author) , Thorsten Schank (Author) , Claus Schnabel (Author) , 01.04.2010 , in: Journal of Labor Economics, 28, 2 , p. 291-330 , 40 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

Prizes

  1. Promotionspreis der Hermann Gutmann Stiftung
    (Recipient) ,

    Prize: external Prizes, scholarships, distinctions, appointments › Research

Courses

This course covers essential methods used in applied causal analysis:

1. Causal analysis of experimental data
2. Probability models for binary outcomes
3. Instrumental variables estimation
4. Fixed-effects estimation on panel data
5. Differences-in-differences estimation

In the first step, the course introduces each method focussing on its correct implementation and interpretation. In the second step, each method is applied to a specific research question from empirical economics using real-world data sets and Stata:

1. Effect of class size on student achievement
2. Discrimination against black job applicants
3. Rate of return to education
4. Effect of wages on individual labour supply
5. Effect of police presence on crime
Next appointment:
Tuesday, 2026-10-13 at 16:15
Boris Hirsch, Christian Pfeifer
In each academic year, you can register your bachelor thesis at three different dates – mid of April (group 1), end of May (group 2), or end of November (group 3) – and attend the accompanying mandatory bachelor thesis colloquium where you receive feedback about your planned thesis and your progress while working on it. The bachelor thesis colloquium is offered separately for each of the three groups of students and has three sessions. Before attending the first session of the bachelor thesis colloquium you should already have a general idea about the topic of your thesis, prospective supervisors, and the type of thesis you want to write.

For further details on the bachelor thesis and the accompanying bachelor thesis colloquium, refer to the pdf document provided at: https://www.leuphana.de/en/institutes/ivwl/bachelor-theses.html

To pass the colloquium, you have to attend these sessions and provide and present an outline of your thesis (in the second session) and present the preliminary state of your thesis while working on it (in the third session).
Next appointment:
Wednesday, 2026-10-21 at 14:15
This course provides an overview of regression analysis. It centres around the question of how to identify causal effects from linear regression models that are estimated using the ordinary least squares (OLS) estimator. The main focus is to discuss the estimation of causal effects under mild identifying assumptions rather than the properties of the OLS estimator under ideal conditions that are of little practical relevance.

Contents:
1. About this course
2. The simple linear regression model
3. Inference in the simple linear regression model
4. The multiple linear regression model
5. Inference in the multiple linear regression model
6. Nonlinear regression functions
7. The validity of regression analyses
Next appointment:
Tuesday, 2026-10-13 at 14:15
Jonas Dix, Boris Hirsch
This course provides an overview of the statistical methods that are required for quantitative analyses in economics and political science. It introduces the essential tools that permit estimating causal effects (rather than mere correlations) from observational data.

Contents:
1. Review of linear regression
2. Decomposition methods for linear regression
3. Instrumental variables regression
4. Linear regression with panel data
5. Differences-in-differences estimation
6. Regression for categorical outcomes
Next appointment:
Thursday, 2026-10-15 at 10:15
Boris Hirsch, Johannes Lohse, Mario Mechtel, Christian Pfeifer, Florian Unger, Joachim Wagner, Thomas Wein
Vorträge zu laufenden Forschungsarbeiten von Promovierenden und Wissenschaftlern des Instituts sowie von auswärtigen Gästen.

Die Referenten sollten möglichst min. eine Woche vor dem Vortrag ihr Papier an Boris Hirsch schicken, der es dann für alle Teilnehmer zugänglich in MyStudy hochladen wird. Hierdurch sollen tiefergehende Diskussionen der Papiere ermöglicht werden.

* im Seminarplan: Externe Gäste, mit denen wir vermutlich am Dienstagabend Essen gehen werden, wozu alle Interessierten gerne mitkommen können (Info bei Boris Hirsch).
Next appointment:
Tuesday, 2026-10-13 at 12:15
This course covers essential methods of descriptive and explorative statistics that are used to summarise data and reveal patterns in these.

Contents:
1. Introduction
2. Univariate descriptive statistics
3. Multivariate descriptive statistics
4. Outlook on inductive statistics
Next appointment:
Thursday, 2026-10-15 at 12:15
Room: C HS 1