Publications
An Introduction to Causal Discovery
Martin Huber, Swiss Journal of Economics ans Statistics (2024)
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The Austrian Political Advertisement Scandal: Searching for Patterns of “Journalism for Sale”
Jana Bernhard-Harrer, Paul Balluff, Jakob-Moritz Eberl, Sarina Joy Oberhänsli, Jana Bernhard, Hajo G. Boomgaarden, Andreas Fahr, Martin Huber, (2024)
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The Finite Sample Performance of Instrumental Variable-Based Estimators of the Local Average Treatment Effect When Controlling for Covariates
Hugo Bodory, Martin Huber, Michael Lechner, Computational Economics (2024)
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Causal Machine Learning in Marketing
Martin Huber, International Journal of Business & Management Studies (2024)
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Learning control variables and instruments for causal analysis in observational data
Apfel, Nicolas and Hatamyar, Julia and Huber, Martin and Kueck, Jannis, (2024)
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Double Machine Learning for Sample Selection Models
Michela Bia, Martin Huber, Lukáš Lafférs, Journal of Business & Economic Statistics (2024)
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A joint test of unconfoundedness and common trends
Huber, Martin and Oeß, Eva-Maria, (2024)
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Testing identification in mediation and dynamic treatment models
Huber, Martin and Kloiber, Kevin and Laffers, Lukas, (2024)
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A Wild bootstrap for propensity score matching estimators
Michael Lechner, Hugo Bodory, Lorenzo Camponovo, Martin Huber, Statistics & Probability Letters (2024)
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Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data
Yu-Chin Hsu, Martin Huber, Ying-Ying Lee, Chu-An Liu, Review of Economics and Statistics (2024)
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Mediationsanalyse
, in Moderne Verfahren der Angewandten Statistik
Martin Huber
(2024), ISBN: 9783662634967 | Chapitre de livre
Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity
Hatamyar, Julia and Kreif, Noemi and Rocha, Rudi and Huber, Martin, (2023)
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It is never too LATE: a new look at local average treatment effects with or without defiers
Christian M Dahl, Martin Huber, Giovanni Mellace, The Econometrics Journal (2023)
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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
Flagging cartel participants with deep learning based on convolutional neural networks
Huber, M. and Imhof, D., International Journal of Industrial Organization (2023)
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How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
Langen, H. and Huber, M., PLoS ONE (2023)
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How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein
Buechel, B. and Gangl, S. and Huber, M., European Economic Review (2023)
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Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup
Kormos, M. and Lieli, R.P. and Huber, M., arXiv (2023)
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When does gender occupational segregation start? An experimental evaluation of the effects of gender and parental occupation in the apprenticeship labor market
Fernandes, A. and Huber, M. and Plaza, C., Economics of Education Review (2023)
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A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels
Wallimann, H. and Imhof, D. and Huber, M., Computational Economics (2022)
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Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition
Huber, M. and Lafférs, L., Econometric Reviews (2022)
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Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
Huber, M. and Meier, J. and Wallimann, H., Transportation Research Part B: Methodological (2022)
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Causal mediation analysis with double machine learning
Farbmacher, H. and Huber, M. and Laffers, L. and Langen, H. and Spindler, M., Econometrics Journal (2022)
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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)
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Direct and Indirect Effects based on Changes-in-Changes
Huber, M. and Schelker, M. and Strittmatter, A., Journal of Business and Economic Statistics (2022)
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Evaluating (weighted) dynamic treatment effects by double machine learning
Bodory, H. and Huber, M. and Laffers, L., Econometrics Journal (2022)
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From Homemakers to Breadwinners? How Mandatory Kindergarten Affects Maternal Labour Market Outcomes
Gangl, S. and Huber, M., SSRN (2022)
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Perceived Anonymity and Cheating in an Online Experiment
Denisova-Schmidt, E. and Huber, M. and Prytula, Y., Eastern European Economics (2022)
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Testing the identification of causal effects in observational data
Huber, M. and Kueck, J., arXiv (2022)
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The fiscal response to revenue shocks
Berset, S. and Huber, M. and Schelker, M., International Tax and Public Finance (2022)
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Transnational machine learning with screens for flagging bid-rigging cartels
Huber, M. and Imhof, D. and Ishii, R., Journal of the Royal Statistical Society. Series A: Statistics in Society (2022)
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On the Plausibility of the Latent Ignorability Assumption
Martin Huber, Econometrics (2021)
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A Framework for Separating Individual-Level Treatment Effects From Spillover Effects
Huber, M. and Steinmayr, A., Journal of Business and Economic Statistics (2021)
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An introduction to flexible methods for policy evaluation
, in Handbook of Research Methods and Applications in Empirical Microeconomics
Huber, M.
(2021) | Chapitre de livre
Assessing the Effects of Seasonal Tariff-rate Quotas on Vegetable Prices in Switzerland
Loginova, D. and Portmann, M. and Huber, M., Journal of Agricultural Economics (2021)
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Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students
Denisova-Schmidt, E. and Huber, M. and Leontyeva, E. and Solovyeva, A., Empirical Economics (2021)
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Gender differences in wage expectations
Fernandes, A. and Huber, M. and Vaccaro, G., PLoS ONE (2021)
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Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction
Andresen, M.E. and Huber, M., Econometrics Journal (2021)
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Time Preferences Across Language Groups: Evidence on Intertemporal Choices from the Swiss Language Border
Herz, H. and Huber, M. and Maillard-Bjedov, T. and Tyahlo, S., Economic Journal (2021)
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Mediation Analysis
, in Handbook of Labor, Human Resources and Population Economics
Martin Huber
(2020) | Chapitre de livre
Kausalanalyse mit maschinellem Lernen
Martin Huber, HMD Praxis der Wirtschaftsinformatik (2020)
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Direct and indirect effects of continuous treatments based on generalized propensity score weighting
Huber, M. and Hsu, Y.-C. and Lee, Y.-Y. and Lettry, L., Journal of Applied Econometrics (2020)
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Direct and indirect effects under sample selection and outcome attrition
Huber, M. and Solovyeva, A., Econometrics (2020)
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Endogeneity and non-response bias in treatment evaluation – nonparametric identification of causal effects by instruments
Fricke, H. and Frölich, M. and Huber, M. and Lechner, M., Journal of Applied Econometrics (2020)
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Local Average and Quantile Treatment Effects under Endogeneity: A Review
Huber, M. and Wüthrich, K., Journal of Econometric Methods (2020)
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Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting
Hsu, Y.-C. and Huber, M. and Lai, T.-C., Journal of Econometric Methods (2020)
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On the Sensitivity of Wage Gap Decompositions
Huber, M. and Solovyeva, A., Journal of Labor Research (2020)
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The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators
Bodory, H. and Camponovo, L. and Huber, M. and Lechner, M., Journal of Business and Economic Statistics (2020)
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Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland
Huber, M. and Langen, H., Swiss Journal of Economics and Statistics (2020)
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Direct and Indirect Effects Based on Difference-in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery
Deuchert, E. and Huber, M. and Schelker, M., Journal of Business and Economic Statistics (2019)
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Evaluating an Information Campaign about Rural Development Policies in FYR Macedonia
Huber, M. and Kotevska, A. and Stojcheska, A.M. and Solovyeva, A., Agricultural and Resource Economics Review (2019)
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Including Covariates in the Regression Discontinuity Design
Frölich, M. and Huber, M., Journal of Business and Economic Statistics (2019)
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Machine learning with screens for detecting bid-rigging cartels
Huber, M. and Imhof, D., International Journal of Industrial Organization (2019)
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Recent Regional Economic Development in Ukraine: Does history help to explain the differences?
, in Regionalism without regions
Martin Huber, Denisova-Schmidt E., Pohorila, N., Prytula, Y., Tyahlo, S
(2019) | Chapitre de livre
The effects of anti-corruption videos on attitudes toward corruption in a Ukrainian online survey
Denisova-Schmidt, E. and Huber, M. and Prytula, Y., Eurasian Geography and Economics (2019)
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Direct and indirect effects of training vouchers for the unemployed
Huber, M. and Lechner, M. and Strittmatter, A., Journal of the Royal Statistical Society. Series A: Statistics in Society (2018)
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A Cautionary Tale About Control Variables in IV Estimation
Deuchert, E. and Huber, M., Oxford Bulletin of Economics and Statistics (2017)
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Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables
Frölich, M. and Huber, M., Journal of the Royal Statistical Society. Series B: Statistical Methodology (2017)
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Does preschool boost the development of minority children?: the case of Roma children
Felfe, C. and Huber, M., Journal of the Royal Statistical Society. Series A: Statistics in Society (2017)
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Note: Why do tougher caseworkers increase employment? The role of program assignment as a causal mechanism
Huber, M. and Lechner, M. and Mellace, G., Review of Economics and Statistics (2017)
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Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance
Huber, M. and Laffers, L. and Mellace, G., Journal of Applied Econometrics (2017)
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Testing the validity of the compulsory schooling law instrument
Bolzern, B. and Huber, M., Economics Letters (2017)
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The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation
Frölich, M. and Huber, M. and Wiesenfarth, M., Computational Statistics and Data Analysis (2017)
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Disentangling policy effects into causal channels
Martin Huber, IZA World of Labor (2016)
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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
Do anti-corruption educational campaigns reach students? Evidence from two cities in Russia and Ukraine
Denisova-Schmidt, E. and Huber, M. and Leontyeva, E., Voprosy Obrazovaniya (2016)
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How war affects political attitudes: Evidence from eastern Ukraine
Martin Huber, Svitlana Tyahlo, (2016)
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On the development of students’ attitudes towards corruption and cheating in Russian universities
Denisova-Schmidt, E. and Huber, M. and Leontyeva, E., European Journal of Higher Education (2016)
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The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence
Huber, M. and Lechner, M. and Mellace, G., Journal of Business and Economic Statistics (2016)
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The effect of firms' phased retirement policies on the labor market outcomes of their employees
Huber, M. and Lechner, M. and Wunsch, C., Industrial and Labor Relations Review (2016)
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A Test of the Conditional Independence Assumption in Sample Selection Models
Huber, M. and Melly, B., Journal of Applied Econometrics (2015)
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An experimental evaluation of an anti-corruption intervention among Ukrainian university students
Denisova-Schmidt, E. and Huber, M. and Prytula, Y., Eurasian Geography and Economics (2015)
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Causal Pitfalls in the Decomposition of Wage Gaps
Huber, M., Journal of Business and Economic Statistics (2015)
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Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour
Huber, M. and Lechner, M. and Steinmayr, A., Empirical Economics (2015)
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Sharp bounds on causal effects under sample selection
Huber, M. and Mellace, G., Oxford Bulletin of Economics and Statistics (2015)
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Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment
Boockmann, B. and Thomsen, S.L. and Walter, T. and Göbel, C. and Huber, M., German Economic Review (2015)
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Testing instrument validity for late identification based on inequality moment constraints
Huber, M. and Mellace, G., Review of Economics and Statistics (2015)
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Testing the validity of the sibling sex ratio instrument
Huber, M., Labour (2015)
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Workplace health promotion and labour market performance of employees
Huber, M. and Lechner, M. and Wunsch, C., Journal of Health Economics (2015)
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Identifying causal mechanisms (primarily) based on inverse probability weighting
Huber, M., Journal of Applied Econometrics (2014)
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Regional differences in perceived corruption among Ukrainian firms
Denisova-Schmidt, E. and Huber, M., Eurasian Geography and Economics (2014)
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Sensitivity checks for the local average treatment effect
Huber, M., Economics Letters (2014)
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Testing exclusion restrictions and additive separability in sample selection models
Huber, M. and Mellace, G., Empirical Economics (2014)
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Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition
Frölich, M. and Huber, M., Journal of the American Statistical Association (2014)
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Treatment Evaluation in the Presence of Sample Selection
Huber, M., Econometric Reviews (2014)
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A simple test for the ignorability of non-compliance in experiments
Huber, M., Economics Letters (2013)
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The performance of estimators based on the propensity score
Huber, M. and Lechner, M. and Wunsch, C., Journal of Econometrics (2013)
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Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition
Huber, M., Journal of Educational and Behavioral Statistics (2012)
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Do German Welfare-to-Work Programmes Reduce Welfare Dependency and Increase Employment?
Huber, M. and Lechner, M. and Wunsch, C. and Walter, T., German Economic Review (2011)
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Does leaving welfare improve health? Evidence for Germany
Huber, M. and Lechner, M. and Wunsch, C., Health Economics (2011)
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Testing for covariate balance using quantile regression and resampling methods
Huber, M., Journal of Applied Statistics (2011)
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