Helmut Farbmacher
Cited by
Cited by
On the use of the lasso for instrumental variables estimation with some invalid instruments
F Windmeijer, H Farbmacher, N Davies, G Davey Smith
Journal of the American Statistical Association, 2018
The many weak instruments problem and Mendelian randomization
NM Davies, S Hinke Kessler Scholder, H Farbmacher, S Burgess, ...
Statistics in Medicine 34 (3), 454-468, 2015
Increasing the credibility of the twin birth instrument
H Farbmacher, R Guber, J Vikström
Journal of Applied Econometrics 33 (3), 457-472, 2018
Per‐Period Co‐Payments And The Demand For Health Care: Evidence From Survey And Claims Data
H Farbmacher, J Winter
Health Economics 22 (9), 1111-1123, 2013
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
An explainable attention network for fraud detection in claims management
H Farbmacher, L Löw, M Spindler
Journal of Econometrics 228 (2), 244-258, 2022
Double trouble: The burden of child-rearing and working on maternal mortality
T Bucher-Koenen, H Farbmacher, R Guber, J Vikström
Demography 57 (2), 559-576, 2020
Heterogeneous effects of poverty on attention
H Farbmacher, H Kögel, M Spindler
Labour Economics 71, 102028, 2021
Heterogeneous effects of a nonlinear price schedule for outpatient care
H Farbmacher, P Ihle, I Schubert, J Winter, A Wuppermann
Health Economics 26 (10), 1234-1248, 2017
Estimation of hurdle models for overdispersed count data
H Farbmacher
Stata Journal 11 (1), 82, 2011
Instrument validity tests with causal forests
H Farbmacher, R Guber, S Klaassen
Journal of Business & Economic Statistics 40 (2), 605-614, 2022
Testing under a special form of heteroscedasticity
H Farbmacher, H Kögel
Applied Economics Letters 24 (4), 264-268, 2017
Extensions of hurdle models for overdispersed count data
H Farbmacher
Health Economics 22 (11), 1398-1404, 2013
Semiparametric count data modeling with an application to health service demand
P Bach, H Farbmacher, M Spindler
Econometrics and statistics 8, 125-140, 2018
Estimating grouped patterns of heterogeneity in repeated public goods experiments
S Bordt, H Farbmacher, H Kögel
Estimating Grouped Patterns of Heterogeneity in Repeated Public Goods …, 2020
GMM with many weak moment conditions: Replication and application of Newey and Windmeijer (2009)
H Farbmacher
Journal of Applied Econometrics 27 (2), 343-346, 2012
Linear fixed-effects estimation with non-repeated outcomes
H Farbmacher, H Tauchmann
FAU Discussion Papers in Economics, 2021
Finite sample properties of the GMM Anderson–Rubin test
MJG Bun, H Farbmacher, RW Poldermans
Econometric Reviews 39 (10), 1042-1056, 2020
SIVREG: Stata module to perform adaptive Lasso with some invalid instruments
H Farbmacher
Boston College Department of Economics, 2018
Detecting Grouped Local Average Treatment Effects and Selecting True Instruments
N Apfel, H Farbmacher, R Groh, M Huber, H Langen
arXiv preprint arXiv:2207.04481, 2022
The system can't perform the operation now. Try again later.
Articles 1–20