Biographie

Professeur d'économétrie appliquée et d'évaluation des politiques. Ph.D. en Economics and Finance (2010) et ensuite professeur assistant à l'Université de Saint-Gall (jusqu'en 2014). Séjours de recherche à l'Université de Harvard (2011/2012) et à l'Université de Sydney (2014 et 2019).
Affiliations : Comité d'économétrie du Verein für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), Centre de recherche économique européenne (ZEW) Mannheim.
Intérêts de recherche : Évaluation empirique des politiques dans les domaines de l'économie du marché du travail, de la santé et de l'éducation ; développement de méthodes statistiques/économétriques pour mesurer les effets causaux ; apprentissage automatique (machine learning) pour la prévision et l'analyse causale.
CV

Recherche et publications

• Articles de livres
  5 publications

  Mediationsanalyse , dans Moderne Verfahren der Angewandten Statistik
  Martin Huber (2024), ISBN: 9783662634967 | Chapitre de livre

  An introduction to flexible methods for policy evaluation , dans Handbook of Research Methods and Applications in Empirical Microeconomics
  Huber, M. (2021) | Chapitre de livre

  Mediation Analysis , dans Handbook of Labor, Human Resources and Population Economics
  Martin Huber (2020) | Chapitre de livre

  Recent Regional Economic Development in Ukraine: Does history help to explain the differences? , dans Regionalism without regions
  Martin Huber, Denisova-Schmidt E., Pohorila, N., Prytula, Y., Tyahlo, S (2019) | Chapitre de livre

  Corruption among Ukrainian businesses: Do firm size, industry and region matter?
  Denisova-Schmidt, E. and Huber, M. and Prytula, Y. (State Capture, Political Risks and International Business: Cases from Black Sea Region Countries, 2016) | Livre

• Publications
  90 publications

  Double Machine Learning for Sample Selection Models
  Journal of Business & Economic Statistics (2024) | Article

  Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data
  Review of Economics and Statistics (2024) | Article

  A Wild bootstrap for propensity score matching estimators
  Statistics & Probability Letters (2024) | Article

  Causal Machine Learning in Marketing
  (2024) | Article

  The Finite Sample Performance of Instrumental Variable-Based Estimators of the Local Average Treatment Effect When Controlling for Covariates
  Computational Economics (2023) | Article

  It is never too LATE: a new look at local average treatment effects with or without defiers
  The Econometrics Journal (2023) | Article

  When does gender occupational segregation start? An experimental evaluation of the effects of gender and parental occupation in the apprenticeship labor market
  (2023) | Article

  Flagging cartel participants with deep learning based on convolutional neural networks
  (2023) | Article

  Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning
  Hsu, Y.-C. and Huber, M. and Yen, Y.-M. , arXiv (2023) | Autre

  How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
  PLoS ONE (2023) | Article

  Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup
  Kormos, M. and Lieli, R.P. and Huber, M. , arXiv (2023) | Autre

  How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein
  European Economic Review (2023) | Article

  Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup
  (2023) | Article

  Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning
  (2023) | Article

  Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition
  (2022) | Article

  A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels
  (2022) | Article

  Perceived Anonymity and Cheating in an Online Experiment
  (2022) | Article

  Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
  (2022) | Article

  Evaluating (weighted) dynamic treatment effects by double machine learning
  (2022) | Article

  The fiscal response to revenue shocks
  (2022) | Article

  From Homemakers to Breadwinners? How Mandatory Kindergarten Affects Maternal Labour Market Outcomes
  Gangl, S. and Huber, M. , SSRN (2022) | Autre

  Direct and Indirect Effects based on Changes-in-Changes
  Journal of Business and Economic Statistics (2022) | Article

  Transnational machine learning with screens for flagging bid-rigging cartels
  Journal of the Royal Statistical Society. Series A: Statistics in Society (2022) | Article

  Causal mediation analysis with double machine learning
  Econometrics Journal (2022) | Article

  Testing the identification of causal effects in observational data
  Huber, M. and Kueck, J. , arXiv (2022) | Autre

  The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates
  Bodory, H. and Huber, M. and Lechner, M. , arXiv (2022) | Autre

  Detecting Grouped Local Average Treatment Effects and Selecting True Instruments
  Apfel, N. and Farbmacher, H. and Groh, R. and Huber, M. and Langen, H. , arXiv (2022) | Autre

  Testing the identification of causal effects in observational data
  (2022) | Article

  From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market outcomes
  (2022) | Article

  Detecting Grouped Local Average Treatment Effects and Selecting True Instruments
  (2022) | Article

  Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data
  (2022) | Article

  On the Plausibility of the Latent Ignorability Assumption
  (2021) | Article

  Gender differences in wage expectations
  (2021) | Article

  Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students
  Empirical Economics (2021) | Article

  Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
  Huber, M. and Imhof, D. , arXiv (2021) | Autre

  Time Preferences Across Language Groups: Evidence on Intertemporal Choices from the Swiss Language Border
  Economic Journal (2021) | Article

  Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction
  Econometrics Journal (2021) | Article

  Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data
  Hsu, Y.-C. and Huber, M. and Lee, Y.-Y. and Liu, C.-A. , arXiv (2021) | Autre

  Assessing the Effects of Seasonal Tariff‐rate Quotas on Vegetable Prices in Switzerland
  (2021) | Article

  The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators
  Journal of Business and Economic Statistics (2020) | Article

  On the Sensitivity of Wage Gap Decompositions
  Journal of Labor Research (2020) | Article

  Double machine learning for sample selection models
  Bia, M. and Huber, M. and Lafférs, L. , arXiv (2020) | Autre

  Endogeneity and non-response bias in treatment evaluation – nonparametric identification of causal effects by instruments
  Journal of Applied Econometrics (2020) | Article

  The Impact of Response Measures on COVID-19-Related Hospitalization and Death Rates in Germany and Switzerland
  (2020) | Article

  Direct and Indirect Effects under Sample Selection and Outcome Attrition
  (2020) | Article

  Direct and indirect effects of continuous treatments based on generalized propensity score weighting
  (2020) | Article

  Machine learning with screens for detecting bid-rigging cartels
  International Journal of Industrial Organization (2019) | Article

  Direct and Indirect Effects Based on Difference-in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery
  Journal of Business and Economic Statistics (2019) | Article

  Evaluating an Information Campaign about Rural Development Policies in FYR Macedonia
  Agricultural and Resource Economics Review (2019) | Article

  Including Covariates in the Regression Discontinuity Design
  (2019) | Article

  Kausalanalyse mit maschinellem Lernen
  (2019) | Article

  Local Average and Quantile Treatment Effects Under Endogeneity: A Review
  (2019) | Article

  Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting
  (2019) | Article

  A Framework for Separating Individual-Level Treatment Effects From Spillover Effects
  (2019) | Article

  The effects of anti-corruption videos on attitudes toward corruption in a Ukrainian online survey
  (2019) | Article

  Direct and indirect effects of training vouchers for the unemployed
  (2018) | Article

  Sharp IV bounds on average treatment effects on the treated and other populations under endogeneity and noncompliance
  (2017) | Article

  Testing the validity of the compulsory schooling law instrument
  (2017) | Article

  Direct and indirect treatment effects - causal chains and mediation analysis with instrumental variables
  (2017) | Article

  The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation
  (2017) | Article

  A Cautionary Tale About Control Variables in IV Estimation
  (2017) | Article

  Why do tougher caseworkers increase employment?
  (2017) | Article

  It's never too LATE
  (2017) | Article

  The effect of firms' phased retirement policies on the labor market outcomes of their employees
  Industrial and Labor Relations Review (2016) | Article

  The Effect of Firms' Phased Retirement Policies on the Labor Market Outcomes of Their Employees
  (2016) | Article

  Do Anti-Corruption Educational Campaigns Reach Students?
  (2016) | Article

  On the Development of Students’ Attitudes towards Corruption and Cheating in Russian Universities
  (2016) | Article

  Does preschool boost the development of minority children?
  (2016) | Article

  An experimental evaluation of an anti-corruption intervention among Ukrainian university students
  (2016) | Article

  The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence
  (2016) | Article

  Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment
  German Economic Review (2015) | Article

  Testing the validity of the sibling sex ratio instrument
  (2015) | Article

  Causal Pitfalls in the Decomposition of Wage Gaps
  (2015) | Article

  Radius matching on the propensity score with bias adjustment
  (2015) | Article

  Testing instrument validity for LATE identification based on inequality moment constraints
  (2015) | Article

  Workplace health promotion and labour market performance of employees
  (2015) | Article

  A Test of the Conditional Independence Assumption in Sample Selection Models
  (2015) | Article

  Sharp bounds on causal effects under sample selection
  (2015) | Article

  Treatment evaluation in the presence of sample selection
  (2014) | Article

  Identifying causal mechanisms (primarily) based on inverse probability weighting
  (2014) | Article

  Testing exclusion restrictions and additive separability in sample selection models
  (2014) | Article

  Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition
  (2014) | Article

  Regional differences in perceived corruption among Ukrainian firms
  (2014) | Article

  Sensitivity checks for the local average treatment effect
  (2014) | Article

  The performance of estimators based on the propensity score
  (2013) | Article

  A simple test for the ignorability of non-compliance in experiments
  (2013) | Article

  Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition
  (2012) | Article

  Do German Welfare-to-Work Programmes Reduce Welfare Dependency and Increase Employment?
  German Economic Review (2011) | Article

  Testing for covariate balance using quantile regression and resampling methods
  (2011) | Article

  Does leaving welfare improve health? Evidence for Germany
  (2011) | Article
• Working papers
  17 publications

  An Introduction to Causal Discovery
  Huber, Martin, (2024) | Working paper

  Learning control variables and instruments for causal analysis in observational data
  Apfel, Nicolas and Hatamyar, Julia and Huber, Martin and Kueck, Jannis, (2024) | Working paper

  A joint test of unconfoundedness and common trends
  Huber, Martin and Oeß, Eva-Maria, (2024) | Working paper

  Testing identification in mediation and dynamic treatment models
  Huber, Martin and Kloiber, Kevin and Laffers, Lukas, (2024) | Working paper

  Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity
  Hatamyar, Julia and Kreif, Noemi and Rocha, Rudi and Huber, Martin, (2023) | Working paper

  The Austrian Political Advertisement Scandal: Searching for Patterns of “Journalism for Sale”
  Paul Balluff, Jakob-Moritz Eberl, Sarina Joy Oberhänsli, Jana Bernhard, Hajo G. Boomgaarden, Andreas Fahr, Martin Huber, (2023) | Working paper

  Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning
  Hsu, Y.-C. and Huber, M. and Yen, Y.-M. , arXiv (2023) | Autre

  Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup
  Kormos, M. and Lieli, R.P. and Huber, M. , arXiv (2023) | Autre

  From Homemakers to Breadwinners? How Mandatory Kindergarten Affects Maternal Labour Market Outcomes
  Gangl, S. and Huber, M. , SSRN (2022) | Autre

  Testing the identification of causal effects in observational data
  Huber, M. and Kueck, J. , arXiv (2022) | Autre

  The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates
  Bodory, H. and Huber, M. and Lechner, M. , arXiv (2022) | Autre

  Detecting Grouped Local Average Treatment Effects and Selecting True Instruments
  Apfel, N. and Farbmacher, H. and Groh, R. and Huber, M. and Langen, H. , arXiv (2022) | Autre

  Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
  Huber, M. and Imhof, D. , arXiv (2021) | Autre

  Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data
  Hsu, Y.-C. and Huber, M. and Lee, Y.-Y. and Liu, C.-A. , arXiv (2021) | Autre

  Double machine learning for sample selection models
  Bia, M. and Huber, M. and Lafférs, L. , arXiv (2020) | Autre

  A Wild Bootstrap Algorithm for Propensity Score Matching Estimators
  Martin Huber, Hugo Bodory, Lorenzo Camponovo, Micheal Lechner, (2016) | Working paper

  How war affects political attitudes: Evidence from eastern Ukraine
  Martin Huber, Svitlana Tyahlo, (2016) | Working paper
• Projets de recherche

  Gender Occupational Segregation in the Swiss Apprenticeship Market: the Role of Employers in an Experimental Evaluation
  Statut: Terminé

  Début	01.03.2018
  Fin	28.02.2019
  Financement	FNS  Voir la fiche du projet
  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.

Enseignement et cours

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