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...

We propose a simple-to-implement dynamic panel data method to evaluate the impacts of place-based policies. The idea is to exploit both the cross sectional dependence and the serial correlation within a panel and implement a semi difference-in-difference decomposition. Different from the method...

Purpose - The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers. Design/methodology/approach - By establishing a rural household decision-making model based on the transfer market of farmland...

Purpose - The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers. Design/methodology/approach - By establishing a rural household decision-making model based on the transfer market of farmland...

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...

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....

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...