|
1 |
Power of machine learning algorithms for predicting dropouts from a German telemonitoring program using standardized claims data
Hofer, Florian. - Hamburg, Germany : Hamburg Center for Health Economics, 2021
|
|
|
|
2 |
Heterogeneous effects of poverty on cognition
Farbmacher, Helmut. - Munich : mea Munich Center for the Economics of Aging, [2019]
|
|
|
|
3 |
Semiparametric count data modeling with an application to health service demand
Bach, Philipp. - Hamburg, Germany : HCHE, Hamburg Center for Health Economics, [2017]
|
|
|
|
4 |
How do unisex rating regulations affect gender differences in insurance premiums?
Aseervatham, Vijay. - Munich : MEA, 2014
|
|
|
|
5 |
Asymmetric information and unobserved heterogeneity in the accident insurance
Spindler, Martin. - Munich : MEA, 2012
|
|
|
|
6 |
Asymmetric information in the market for automobile insurance
Spindler, Martin. - Munich : MEA, 2012
|
|
|
7 |
Essays in econometrics
Spindler, Martin. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012
|
|
|
|
8 |
Essays in econometrics
Spindler, Martin, 2011
|
|
|
9 |
Econometric Methods for Testing for Asymmetric Information: A Comparison of Parametric and Nonparametric Methods with an Application to Hospital Daily Benefits*
Enthalten in The Geneva risk and insurance review Bd. 39, 19.9.2014, Nr. 2, date:9.2014: 254-266
|
|
|
|
10 |
How Do Unisex Rating Regulations Affect Gender Differences in Insurance Premiums?
Enthalten in The Geneva papers on risk and insurance - issues and practice Bd. 41, 7.10.2015, Nr. 1, date:1.2016: 128-160
|
|
Administration
