This paper sets out a theoretical framework for models of the household production and labour supply decisions of families, and estimates empirical specifications on time use survey data containing information on labour supply, domestic work and pure leisure. The models are then compared with...

Research over the past several years has led to development of models characterizing equilibrium in a system of local jurisdictions. More recently, there have been a number of studies which have tried to estimate these models. The evidence suggests that simple parametric models can explain the...

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...

Quantile regression (QR) methods fit a linear model for conditional quantiles, just as ordinary least squares (OLS) regression estimates a linear model for conditional means. An attractive feature of the OLS estimator is that it gives a minimum mean square error approximation to the conditional...

The paper analyses how barriers to communication across social groups affect economy-wide productivity and factor accumulation. Using a dynamic model of an economy that includes a reproducible capital stock (physical or human) and effective labour, social barriers to communication are shown to...