The performance of estimators based on the propensity score M Huber, M Lechner, C Wunsch Journal of Econometrics 175 (1), 1-21, 2013 | 410* | 2013 |
Identifying causal mechanisms (primarily) based on inverse probability weighting M Huber Journal of Applied Econometrics 29 (6), 920-943, 2014 | 164 | 2014 |
Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour M Huber, M Lechner, A Steinmayr Empirical Economics 49, 1-31, 2015 | 155* | 2015 |
Testing instrument validity for LATE identification based on inequality moment constraints M Huber, G Mellace Review of Economics and Statistics 97 (2), 398-411, 2015 | 149 | 2015 |
A test of the conditional independence assumption in sample selection models M Huber, B Melly Journal of Applied Econometrics 30 (7), 1144-1168, 2015 | 148* | 2015 |
Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables M Frölich, M Huber Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 138 | 2017 |
Do German welfare-to-work programmes reduce welfare dependency and increase employment? M Huber, M Lechner, C Wunsch, T Walter German Economic Review 12 (2), 182-204, 2011 | 113* | 2011 |
Including covariates in the regression discontinuity design M Frölich, M Huber Journal of Business & Economic Statistics 37 (4), 736-748, 2019 | 93 | 2019 |
Mediation analysis M Huber Handbook of labor, human resources and population economics, 1-38, 2020 | 87* | 2020 |
Machine learning with screens for detecting bid-rigging cartels M Huber, D Imhof International Journal of Industrial Organization 65, 277-301, 2019 | 87 | 2019 |
Does leaving welfare improve health? Evidence for Germany M Huber, M Lechner, C Wunsch Health Economics 20 (4), 484-504, 2011 | 76 | 2011 |
The finite sample performance of inference methods for propensity score matching and weighting estimators H Bodory, L Camponovo, M Huber, M Lechner Journal of Business & Economic Statistics 38 (1), 183-200, 2020 | 74 | 2020 |
On the development of students’ attitudes towards corruption and cheating in Russian universities E Denisova-Schmidt, M Huber, E Leontyeva European Journal of Higher Education 6 (2), 128-143, 2016 | 70 | 2016 |
Causal pitfalls in the decomposition of wage gaps M Huber Journal of Business & Economic Statistics 33 (2), 179-191, 2015 | 68 | 2015 |
The finite sample performance of semi-and non-parametric estimators for treatment effects and policy evaluation M Frölich, M Huber, M Wiesenfarth Computational Statistics & Data Analysis 115, 91-102, 2017 | 67 | 2017 |
Why do tougher caseworkers increase employment? The role of program assignment as a causal mechanism M Huber, M Lechner, G Mellace Review of Economics and Statistics 99 (1), 180-183, 2017 | 67 | 2017 |
Testing exclusion restrictions and additive separability in sample selection models M Huber, G Mellace Empirical Economics 47, 75-92, 2014 | 63* | 2014 |
Causal mediation analysis with double machine learning H Farbmacher, M Huber, L Lafférs, H Langen, M Spindler The Econometrics Journal 25 (2), 277-300, 2022 | 61 | 2022 |
Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland M Huber, H Langen Swiss Journal of Economics and Statistics 156, 1-19, 2020 | 59 | 2020 |
Sharp IV bounds on average treatment effects on the treated and other populations under endogeneity and noncompliance M Huber, L Laffers, G Mellace Journal of Applied Econometrics 32 (1), 56-79, 2017 | 56* | 2017 |