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	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