nonparametric estimation (e.g. Imbens et al. (2012) and Calonico et al. (2014)) are sometimes interpreted by practitioners as … pointing to a default estimation procedure, we show that in any given application different procedures may perform better or …

conditional on current information, we propose a new approach to quantile estimation which does not require any of the extreme … variety of dynamic processes for updating the quantile and use regression quantile estimation to determine the parameters of …

In this paper we analyze estimation of coefficients in regression models under moment restrictions where the moment … an application based on omitted ability bias in estimation of wage regressions. The National Longitudinal Survey Young …

the perspective of economic theory as well as from the perspective of the historical experiences of the countries under … model specification. Model uncertainty consists of two types: theory uncertainty, which relates to which growth determinants … draws from the same statistical model. We propose ways to account for both theory and heterogeneity uncertainty. Finally …

econometric strategies for share model estimation. The paper then goes on to discuss the univariate fractional regression … estimation strategies proposed by Papke and Wooldridge and to extend the fractional regression approach to estimation of and …/ disaggregation are considered, as is a full likelihood estimation approach based on Dirichlet-multinomial models. The paper …

option values, the internal rate of return - a cornerstone of classical human capital theory - is not a useful guide to …