Showing 1 - 10 of 87
We consider identification in a "generalized regression model" (Han, 1987) for panel settings in which each observation … unobservables, and arbitrary heteroskedasticity. We provide sufficient conditions for full identification of the model, as well as … weaker conditions sufficient for identification of the latent group effects and the distribution of outcomes conditional on …
Persistent link: https://www.econbiz.de/10008479206
We present a simple way to estimate the effects of changes in a vector of observable variables X on a limited dependent variable Y when Y is a general nonseparable function of X and unobservables. We treat models in which Y is censored from above or below or potentially from both. The basic idea...
Persistent link: https://www.econbiz.de/10005463961
We present a simple way to estimate the effects of changes in a vector of observable variables X on a limited dependent variable Y when Y is a general nonseparable function of X and unobservables, and X is independent of the unobservables. We treat models in which Y is censored from above,...
Persistent link: https://www.econbiz.de/10009003657
In parametric models a sufficient condition for local identification is that the vector of moment conditions is … the true value that are sufficient for local identification. We apply these results to obtain new, primitive … identification conditions in several important models, including nonseparable quantile instrumental variable (IV) models, single …
Persistent link: https://www.econbiz.de/10010817218
In parametric models a sufficient condition for local identification is that the vector of moment conditions is … imply local identification. It turns out these conditions are slightly stronger than needed and are hard to check, so we …
Persistent link: https://www.econbiz.de/10009001017
A system of vector semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components. The parametric regressors may be endogenous while the nonparametric regressors are strictly exogenous and represent...
Persistent link: https://www.econbiz.de/10008548958
A local limit theorem is proved for sample covariances of nonstationary time series and integrable functions of such time series that involve a bandwidth sequence. The resulting theory enables an asymptotic development of nonparametric regression with integrated or fractionally integrated...
Persistent link: https://www.econbiz.de/10005463960
We correct the limit theory presented in an earlier paper by Hu and Phillips (Journal of Econometrics, 2004) for nonstationary time series discrete choice models with multiple choices and thresholds. The new limit theory shows that, in contrast to the binary choice model with nonstationary...
Persistent link: https://www.econbiz.de/10005463967
This paper considers model selection in nonlinear panel data models where incidental parameters or large-dimensional nuisance parameters are present. Primary interest typically centres on selecting a model that best approximates the underlying structure involving parameters that are common...
Persistent link: https://www.econbiz.de/10010895640
This paper proposes a nonparametric test for common trends in semiparametric panel data models with fixed effects based on a measure of nonparametric goodness-of-fit (R^2). We first estimate the model under the null hypothesis of common trends by the method of profile least squares, and obtain...
Persistent link: https://www.econbiz.de/10009358886