Helmut Farbmacher

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Neil M DaviesMRC Integrative Epidemiology Unit (IEU) at the University of BristolAdresse e-mail validée de bristol.ac.uk
Frank WindmeijerUniversity of OxfordAdresse e-mail validée de stats.ox.ac.uk
George Davey SmithUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Joachim WinterProfessor of Economics, LMU MunichAdresse e-mail validée de lmu.de
Martin SpindlerUniversity of HamburgAdresse e-mail validée de uni-hamburg.de
Johan VikströmAssociate ProfessorAdresse e-mail validée de ifau.uu.se
Stephen BurgessUniversity of Cambridge, MRC Biostatistics UnitAdresse e-mail validée de medschl.cam.ac.uk
Stephanie von HinkeUniversity of Bristol, Erasmus University RotterdamAdresse e-mail validée de bristol.ac.uk
Martin HuberUniversity of FribourgAdresse e-mail validée de unifr.ch
Amelie WuppermannMartin Luther University Halle-WittenbergAdresse e-mail validée de wiwi.uni-halle.de
Ingrid SchubertAdresse e-mail validée de uk-koeln.de
Philipp BachUniversity of HamburgAdresse e-mail validée de uni-hamburg.de
Sven KlaassenUniversity of HamburgAdresse e-mail validée de uni-hamburg.de

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Helmut Farbmacher

Technical University of Munich, TUM School of Management

Adresse e-mail validée de tum.de - Page d'accueil

Health Economics Labor Economics Machine Learning Data Science Causal Inference


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	117	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	109	2015
Increasing the credibility of the twin birth instrument H Farbmacher, R Guber, J Vikström Journal of Applied Econometrics 33 (3), 457-472, 2018	27	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	27*	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	18	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	15	2020
An explainable attention network for fraud detection in claims management H Farbmacher, L Löw, M Spindler Journal of Econometrics, 2020	12	2020
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	10*	2017
Testing under a special form of heteroscedasticity H Farbmacher, H Kögel Applied Economics Letters 24 (4), 264-268, 2017	8*	2017
Estimation of hurdle models for overdispersed count data H Farbmacher Stata Journal 11 (1), 82, 2011	8	2011
Extensions of hurdle models for overdispersed count data H Farbmacher Health Economics 22 (11), 1398-1404, 2013	7	2013
Instrument validity tests with causal forests H Farbmacher, R Guber, S Klaassen Journal of Business & Economic Statistics 40 (2), 605-614, 2022	6	2022
Semiparametric count data modeling with an application to health service demand P Bach, H Farbmacher, M Spindler Econometrics and statistics 8, 125-140, 2018	6	2018
Estimating grouped patterns of heterogeneity in repeated public goods experiments S Bordt, H Farbmacher, H Kögel Working paper, 2019	5	2019
Linear fixed-effects estimation with non-repeated outcomes H Farbmacher, H Tauchmann FAU Discussion Papers in Economics, 2021	4	2021
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	4	2012
Heterogeneous effects of poverty on cognition H Farbmacher, H Kögel, M Spindler MEA Discussion Paper, 2019	3	2019
SIVREG: Stata module to perform adaptive Lasso with some invalid instruments H Farbmacher Boston College Department of Economics, 2018	3	2018
Heterogeneous effects of poverty on attention H Farbmacher, H Kögel, M Spindler Labour Economics 71, 102028, 2021	2	2021
Finite sample properties of the GMM Anderson–Rubin test MJG Bun, H Farbmacher, RW Poldermans Econometric Reviews 39 (10), 1042-1056, 2020	2	2020

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