| The performance of estimators based on the propensity score M Huber, M Lechner, C Wunsch Journal of Econometrics 175 (1), 1-21, 2013 | 292* | 2013 |
| 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), 1-31, 2015 | 107 | 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 | 97 | 2015 |
| 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 | 95* | 2011 |
| Identifying causal mechanisms (primarily) based on inverse probability weighting M Huber Journal of Applied Econometrics 29 (6), 920-943, 2014 | 93 | 2014 |
| A test of the conditional independence assumption in sample selection models M Huber, B Melly Journal of Applied Econometrics 30 (7), 1144-1168, 2015 | 84* | 2015 |
| Does leaving welfare improve health? Evidence for Germany M Huber, M Lechner, C Wunsch Health Economics 20 (4), 484-504, 2011 | 57 | 2011 |
| Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables M Frölich, M Huber IZA Discussion Paper, 2014 | 52 | 2014 |
| 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 | 42 | 2017 |
| Causal pitfalls in the decomposition of wage gaps M Huber Journal of Business & Economic Statistics 33 (2), 179-191, 2015 | 35 | 2015 |
| Testing exclusion restrictions and additive separability in sample selection models M Huber, G Mellace Empirical Economics 47 (1), 75-92, 2014 | 35 | 2014 |
| 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 | 34 | 2017 |
| 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 | 34* | 2017 |
| 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 | 32 | 2020 |
| The effect of firms’ phased retirement policies on the labor market outcomes of their employees M Huber, M Lechner, C Wunsch ILR review 69 (5), 1216-1248, 2016 | 31 | 2016 |
| An experimental evaluation of an anti-corruption intervention among Ukrainian university students E Denisova-Schmidt, M Huber, Y Prytula Eurasian Geography and Economics 56 (6), 713-734, 2015 | 31 | 2015 |
| Identification of average treatment effects in social experiments under alternative forms of attrition M Huber Journal of Educational and Behavioral Statistics, 2011 | 31 | 2011 |
| Regional differences in perceived corruption among Ukrainian firms E Denisova-Schmidt, M Huber Eurasian Geography and Economics 55 (1), 10-36, 2014 | 30 | 2014 |
| 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 | 29 | 2016 |
| Treatment evaluation in the presence of sample selection M Huber Econometric Reviews 33 (8), 869-905, 2014 | 28* | 2014 |
Michael LechnerUniversity of St. Gallen, Swiss Insitute for Empirical Economic Research (SEW)Verified email at unisg.ch
