The nature of the relationship between health and income is still not clearly defined. It is believed that personal income affects health but this may not be the end of the story. Income may also play its part through issues of relativity and deprivation. It may even be possible that these...

At the macroeconomic level, the persistence of technological change allows sustainable growth. But do the innovations come from the same set of firms or from a continuous renewal of innovators? On this point, the assumptions underlying the endogenous growth models differ and innovation...

This Paper considers empirical work relating to models of firm dynamics. It is shown that a hazard regression model for firm exits, with a modification to accommodate age-varying covariate effects, provides an adequate framework accommodating many of the features of interest in empirical studies...

This paper develops a framework to test alternative market microstructure models of the bid-ask spread. If, on the one hand, information-based models result in bid and ask quotes that are non-Markovian, and the other hand, the Markov property may hold in equilibrium settings where the market...

Many important models, such as index models widely used in limited dependent variables, partial linear models and nonparametric demand studies utilize estimation of average derivatives (sometimes weighted) of the conditional mean function. Asymptotic results in the literature focus on situations...

A widely relied upon but a formally untested consideration is the issue of stability in actors underlying the term structure of interest rates. In testing for stability, practitioners as well as academics have employed ad yhoc techniques such as splitting the sample into a few sub-periods and...

Very few existing studies have estimated female labor supply elasticities using a U.S. panel data set, although cross-sectional studies abound. Also, most existing studies have done so in a static framework. I make an attempt to fill the gap in this literature by estimating a...

Deconvolution is a useful statistical technique for recovering an unknown density in the presence of measurement error. Typically, the method hinges on stringent assumptions about teh nature of the measurement error, more specifically, that the distribution is *entirely* known. We relax this...

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...

In this study I apply quantile regression techniques to the well-known Oaxaca coefficient of discrimination. This methodology provides different coefficients for different quantiles of the conditional wage distribution and is more informative than the technique based on OLS regression, which...