Nonparametric testing for asymmetric information
Year of publication: |
2013
|
---|---|
Authors: | Su, Liangjun ; Spindler, Martin |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 31.2013, 2, p. 208-225
|
Subject: | Automobile insurance | Conditional independence | Distributional misspecification | Functional misspecification | Long-term care insurance | Nonlinearity | Pflegeversicherung | Theorie | Theory | Kfz-Versicherung | Asymmetrische Information | Asymmetric information | Nichtparametrisches Verfahren | Nonparametric statistics | Adverse Selektion | Adverse selection | Schätzung | Estimation | Nichtlineare Regression | Nonlinear regression | Moral Hazard | Moral hazard | Statistische Verteilung | Statistical distribution |
-
The importance of the choice of test for finding evidence of asymmetric information
Donnelly, Catherine, (2014)
-
Asymmetric information on risky behaviour : evidence from the automobile insurance market
Forsstedt, Sara, (2014)
-
Testing for asymmetric information in Canadian automobile insurance
Dahlby, Bev G., (2010)
- More ...
-
Semiparametric GMM estimation of spatial autoregressive models
Su, Liangjun, (2012)
-
A simple test for multivariate conditional symmetry
Su, Liangjun, (2006)
-
Business output and business experience : evidence from China's nongovernmental businesses
Su, Liangjun, (2007)
- More ...