In this paper, we consider estimation of discrete response models exhibiting conditional heteroskedasticity of a multiplicative form, where the latent error term is assumed to be the product of an unknown scale function and a homoskedastic error term. It is first shown that for estimation of the...

We propose an estimation procedure for a semiparametric panel data censored regression model in which the error terms may be subject to general forms of nonstationarity. Specifically, we allow for heteroskedasticity over time and a time varying factor load on the individual specific effect....

We quantify the identifying power of special regressors in heteroskedastic binary regressions with median-independent or conditionally symmetric errors. We measure the identifying power using two criteria: the set of regressor values that help point identify coefficients in latent payoffs as in...

This paper estimates a class of models which satisfy a monotonicity condition on theconditional quantile function of the response variable. This class includes as a special casethe monotonic transformation model with the error term satisfying a conditional quantilerestriction, thus allowing for...

Powell's (1984, Journal of Econometrics 25, 303}325) censored least absolute deviations(CLAD) estimator for the censored linear regression model has been regarded asa desirable alternative to maximum likelihood estimation methods due to its robustnessto conditional heteroskedasticity and...

In this paper estimation of sample selection models using experimental data is considered with some weak restriction imposed on the error distribution. Under a normality setting, the most popular approach is the two-step method proposed by Heckman (1979). But Heckman¡¯s approach relies on the...

This dissertation consists of three chapters relating to identification and inference in dynamic microeconometric models including dynamic discrete games with many players, dynamic games with discrete and continuous choices, and semiparametric binary choice and duration panel data...

We examine the impact of piped water on the under-1 infant mortality rate(IMR) in Brazil using a novel econometric procedure for the estimation of quantiletreatment effects with panel data. The provision of piped water in Brazil is highlycorrelated with other observable and unobservable...