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1 |
Sensitivity analysis for treatment effects in difference-in-differences models using Riesz representation
Bach, Philipp. - Berlin : Freie Universität Berlin, 2025
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2 |
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
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3 |
Heterogeneous effects of poverty on cognition
Farbmacher, Helmut. - Munich : mea Munich Center for the Economics of Aging, [2019]
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4 |
Semiparametric count data modeling with an application to health service demand
Bach, Philipp. - Hamburg, Germany : HCHE, Hamburg Center for Health Economics, [2017]
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5 |
How do unisex rating regulations affect gender differences in insurance premiums?
Aseervatham, Vijay. - Munich : MEA, 2014
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6 |
Asymmetric information and unobserved heterogeneity in the accident insurance
Spindler, Martin. - Munich : MEA, 2012
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7 |
Asymmetric information in the market for automobile insurance
Spindler, Martin. - Munich : MEA, 2012
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8 |
Essays in econometrics
Spindler, Martin. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012
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9 |
Essays in econometrics
Spindler, Martin, 2011
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10 |
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
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Administration
