Martin Huber
Zitiert von
Zitiert von
The performance of estimators based on the propensity score
M Huber, M Lechner, C Wunsch
Journal of Econometrics 175 (1), 1-21, 2013
Identifying causal mechanisms (primarily) based on inverse probability weighting
M Huber
Journal of Applied Econometrics 29 (6), 920-943, 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
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
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
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
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
Does leaving welfare improve health? Evidence for Germany
M Huber, M Lechner, C Wunsch
Health Economics 20 (4), 484-504, 2011
Including covariates in the regression discontinuity design
M Frölich, M Huber
Journal of Business & Economic Statistics 37 (4), 736-748, 2019
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
Causal pitfalls in the decomposition of wage gaps
M Huber
Journal of Business & Economic Statistics 33 (2), 179-191, 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
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
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
Machine learning with screens for detecting bid-rigging cartels
M Huber, D Imhof
International Journal of Industrial Organization 65, 277-301, 2019
Testing exclusion restrictions and additive separability in sample selection models
M Huber, G Mellace
Empirical Economics 47, 75-92, 2014
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
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
A cautionary tale about control variables in IV estimation
E Deuchert, M Huber
Oxford Bulletin of Economics and Statistics 79 (3), 411-425, 2017
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
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