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 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 paper considers semiparametric -consistent estimation of the parameters of the generalized panel data transformation model with fixed effects under various forms of censoring, without parametric specification for the transformation function or the error distribution. While the approach in...

Purpose: The purpose of this paper is to consider that the model of volatility characteristics is more reasonable and the description of volatility is more explanatory. Design/methodology/approach: This paper analyzes the basic characteristics of market yield volatility based on the five-minute...