In this paper, we use quantile regression methods to analyze the gender gap in the Netherlands. Specifically, we use data from the 1992 wave of the OSA Labour Survey Panel to decompose the difference between the distributions of wages for males and females who are employed full-time. The...

Part of the rationale for NAFTA was that it would increase trade and FDI flows, creating jobs and reducing migration to the US. Since poor data on illegal flows to the US makes direct measurement difficult, this paper instead evaluates the mechanism behind these predictions using data on...

This paper uses DOGEV model for modelling determinates of poverty in Eritrea by employing Eritrean Household Income and Expenditure Survey 1996/97 data. Education impacts welfare differently across poverty categories and there are pockets of poverty in the educated population sub group. Effect...

In this article we analyze the evolution of relative per capita income distribution of Brazilian municipalities over the period 1970-1996. Our analyses are based on nonparametric methodologies and do not assume probability distributions or functional forms for the data. We have carried out two...

Foreign Direct Investment has become an important source of long-term capital inflows for less developed countries in the last two decades. As documented in previous literature, FDI flows may increase permanently domestic output and represent an important source of technological spillovers for...

This paper considers measures of uncertainty used in economic estimation. Our first contribution is to address the theoretical relationship between cross-section and time series measures, highlighting the reasons why these might diverge. In a subsequent empirical section, we compare measures of...

We use a novel data set and identification strategy to empirically detect the presence and magnitude of local social interactions effects in the labor market. We argue that the use of informal referrals has implications for the spatial distribution of residential and work locations, that can...

This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model. We develop an estimator that is asymptotically normally distributed with a rate of convergence in probability of $n^{-r/(2r+1)}$ when the additive components are $r$-times...

In this paper, we are interested in a stochastic frontier model in which observable characteristics of the firms affect their levels of technical inefficiency. Let u ≥ 0 be the one-sided error reflecting technical inefficiency, and let z be a set of variables that affect u. We write u as...

This paper proposes shrinkage methods in instrumental variable estimations to solve the ``many instruments'' problem. Even though using a large number of instruments reduces the asymptotic variances of the estimators, it has been observed both in theoretical works and in practice that in finite...