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Many models of semiparametric multivariate survival functions are characterized by nonparametric marginal survival functions and parametric copula functions, where different copulas imply different dependence structures. This paper considers estimation and model selection for these...
Persistent link: https://www.econbiz.de/10012768392
Evidence that asset returns are more highly correlated during volatile markets and during market downturns (see Longin and Solnik, 2001, and Ang and Chen, 2002) has lead some researchers to propose alternative models of dependence. In this paper we develop two simple goodness-of-fit tests for...
Persistent link: https://www.econbiz.de/10012738454
In this paper, we supplement the identification results for the mean treatment effect for the treated in the difference-in-differences framework studied by Abadie (2005) by establishing partial identification results for the distribution and quantile of the counterfactual outcome and of the...
Persistent link: https://www.econbiz.de/10010572265
Persistent link: https://www.econbiz.de/10009967269
Persistent link: https://www.econbiz.de/10007718232
This paper constructs a consistent model specification test based on the difference between the nonparametric kernel sum of squares of residuals and the sum of squares of residuals from a parametric null model. We establish the asymptotic normality of the proposed test statistic under the null...
Persistent link: https://www.econbiz.de/10005476099
This paper extends the linear stochastic frontier model proposed by D. J. Aigner, C. A. K. Lovell, and P. Schmidt (1977) to a semiparametric frontier model in which the functional form of the production frontier is unspecified and the distributions of the composite error terms are of known form....
Persistent link: https://www.econbiz.de/10005430025
Persistent link: https://www.econbiz.de/10005411641
Let <italic>F</italic> denote a distribution function defined on the probability space (Ω,null,<italic>P</italic>), which is absolutely continuous with respect to the Lebesgue measure in <italic>R</italic> with probability density function <italic>f</italic>. Let <italic>f</italic><sub>0</sub>(·,β) be a parametric density function that depends on an unknown <italic>p</italic> × 1 vector β. In this...
Persistent link: https://www.econbiz.de/10005411716
Research in empirical health economics has found that the relationship between medical expenditures and age, income and other variables can be highly nonlinear. Moreover, men and women can have quite different medical expenditure patterns due to their differences in life expectancy. Thus it may...
Persistent link: https://www.econbiz.de/10005463367