Martin Spindler
Martin Spindler
University of Hamburg and Max Planck Society
Bestätigte E-Mail-Adresse bei
TitelZitiert vonJahr
Valid post-selection and post-regularization inference: An elementary, general approach
V Chernozhukov, C Hansen, M Spindler
Annu. Rev. Econ. 7 (1), 649-688, 2015
Post-selection and post-regularization inference in linear models with many controls and instruments
V Chernozhukov, C Hansen, M Spindler
American Economic Review 105 (5), 486-90, 2015
Stock market volatility: Identifying major drivers and the nature of their impact
S Mittnik, N Robinzonov, M Spindler
Journal of Banking & Finance 58, 1-14, 2015
Asymmetric information in the market for automobile insurance: Evidence from Germany
M Spindler, J Winter, S Hagmayer
Journal of Risk and Insurance 81 (4), 781-801, 2014
Nonparametric testing for asymmetric information
L Su, M Spindler
Journal of Business & Economic Statistics 31 (2), 208-225, 2013
hdm: High-dimensional metrics
V Chernozhukov, C Hansen, M Spindler
arXiv preprint arXiv:1608.00354, 2016
How do unisex rating regulations affect gender differences in insurance premiums?
V Aseervatham, C Lex, M Spindler
The Geneva Papers on Risk and Insurance-Issues and Practice 41 (1), 128-160, 2016
High-Dimensional Boosting: Rate of Convergence
Y Luo, M Spindler
arXiv preprint arXiv:1602.08927, 2016
High-dimensional metrics in R
V Chernozhukov, C Hansen, M Spindler
arXiv preprint arXiv:1603.01700, 2016
Asymmetric information in (private) accident insurance
M Spindler
Economics Letters 130, 85-88, 2015
L2-Boosting for Economic Applications
Y Luo, M Spindler
American Economic Review 107 (5), 270-73, 2017
Semiparametric count data modeling with an application to health service demand
P Bach, H Farbmacher, M Spindler
Econometrics and statistics 8, 125-140, 2018
Estimation and Inference of Treatment Effects with -Boosting in High-Dimensional Settings
Y Luo, M Spindler
arXiv preprint arXiv:1801.00364, 2017
Transformation models in high-dimensions
S Klaassen, J Kueck, M Spindler
arXiv preprint arXiv:1712.07364, 2017
Lasso for Instrumental Variable Selection: A Replication Study
M Spindler
Journal of Applied Econometrics 31 (2), 450-454, 2016
An Explainable Attention Network for Fraud Detection in Claims Management
H Farbmacher, L Löw, M Spindler
Technical Report, University og Hamburg, 2019
32 Long-term care insurance across Europe
T Bucher-Koenen, J Schütz, M Spindler
Ageing in Europe: Supporting policies for an inclusive society, 353, 2015
Econometric Methods for Testing for Asymmetric Information: A Comparison of Parametric and Nonparametric Methods with an Application to Hospital Daily Benefits
M Spindler
The Geneva Risk and Insurance Review 39 (2), 254-266, 2014
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data
X Chen, V Chernozhukov, Y Luo, M Spindler
arXiv preprint arXiv:1912.12867, 2019
Sequence embeddings help to identify fraudulent cases in healthcare insurance
I Fursov, A Zaytsev, R Khasyanov, M Spindler, E Burnaev
arXiv preprint arXiv:1910.03072, 2019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20