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We propose a specification test for a wide range of parametric models for the conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data,...
Persistent link: https://www.econbiz.de/10009650610
; bootstrap ; wage distribution …
Persistent link: https://www.econbiz.de/10009531435
We propose a specification test for a wide range of parametric models for the conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data,...
Persistent link: https://www.econbiz.de/10013110184
Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We...
Persistent link: https://www.econbiz.de/10014322772
. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf … distribution is logarithmically slow. It is proved that the bootstrap approximation provides a substantial improvement. The case of …
Persistent link: https://www.econbiz.de/10010270724
When Barret and Donald (2003) in Econometrica proposed a consistent test of stochastic dominance, they were silent about the asymptotic unbiasedness of their tests against (square root) n-converging Pitman local alternatives. This paper shows that when we focus on first-order stochastic...
Persistent link: https://www.econbiz.de/10014220140
We consider time series models in which the conditional mean of the response variable given the past depends on latent covariates. We assume that the covariates can be estimated consistently and use an iterative nonparametric kernel smoothing procedure for estimating the conditional mean...
Persistent link: https://www.econbiz.de/10011422182
We consider time series models in which the conditional mean of the response variable given the past depends on latent covariates. We assume that the covariates can be estimated consistently and use an iterative nonparametric kernel smoothing procedure for estimating the conditional mean...
Persistent link: https://www.econbiz.de/10003747376
It is common in econometric applications that several hypothesis tests are carried out at the same time. The problem then becomes how to decide which hypotheses to reject, accounting for the multitude of tests. In this paper, we suggest a stepwise multiple testing procedure which asymptotically...
Persistent link: https://www.econbiz.de/10014070787
. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf … distribution is logarithmically slow. It is proved that the bootstrap approximation provides a substantial improvement. The case of …
Persistent link: https://www.econbiz.de/10008476279