Helmut Farbmacher
Helmut Farbmacher
Munich Center for the Economics of Aging (MEA), Max Planck Society
Bestätigte E-Mail-Adresse bei mea.mpisoc.mpg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
572015
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
382018
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
23*2013
Increasing the credibility of the twin birth instrument
H Farbmacher, R Guber, J Vikström
Journal of Applied Econometrics 33 (3), 457-472, 2018
142018
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
7*2017
Extensions of hurdle models for overdispersed count data
H Farbmacher
Health Economics 22 (11), 1398-1404, 2013
72013
Estimation of hurdle models for overdispersed count data
H Farbmacher
Stata Journal 11 (1), 82, 2011
52011
Testing under a special form of heteroscedasticity
H Farbmacher, H Kögel
Applied Economics Letters 24 (4), 264-268, 2017
4*2017
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
32012
Double trouble: The burden of child rearing and working on maternal mortality
T Bucher-Koenen, H Farbmacher, R Guber, J Vikström
MEA Discussion Paper, 2019
22019
Semiparametric count data modeling with an application to health service demand
P Bach, H Farbmacher, M Spindler
Econometrics and statistics 8, 125-140, 2018
22018
SIVREG: Stata module to perform adaptive Lasso with some invalid instruments
H Farbmacher
Boston College Department of Economics, 2018
22018
An Explainable Attention Network for Fraud Detection in Claims Management
H Farbmacher, L Löw, M Spindler
Technical Report, University og Hamburg, 2019
12019
On the Effect of Imputation on the 2SLS Variance
H Farbmacher, A Kann
arXiv preprint arXiv:1903.11004, 2019
2019
NWIND: Stata module to compute Newey-Windmeijer VCE after ivreg2 GMM-CUE estimation
H Farbmacher
Boston College Department of Economics, 2014
2014
ZTNBP: Stata module to estimate zero-truncated NegBin-P regression
H Farbmacher
Boston College Department of Economics, 2013
2013
ZTPFLEX: Stata module to estimate zero-truncated Poisson mixture regression
H Farbmacher
Boston College Department of Economics, 2012
2012
Messung von Ergebnisqualität: das Pilotprojekt Ambulante Operationen
H Farbmacher, V Gács, H Komjati, A Munte, A Neumann, J Winter
2011
Ambulante Operationen: Der Patient steht im Mittelpunkt
H Farbmacher, V Gács, H Komjati, A Munte, A Neumann, J Winter
Monitor Versorgungsforschung 6, 35-39., 2010
2010
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