This paper investigates possible explanations for the increases in inequality observed in Brazil during the 1980s. While the static decompositions of inequality by household characteristics reveal that education and race of the household head, as well as geographic location, can account for a...

This paper presents the first UK estimates of the association between parental wealth during adolescence and a range of children’s outcomes in early adulthood. Parental wealth is positively associated with all outcomes examined (which include educational attainment, employment, earnings and...

This paper links data on establishments and individuals to analyze the role of establishments in the increase in inequality that has become a central topic in economic analysis and policy debate. It decomposes changes in the variance of ln earnings among individuals into the part due to changes...

We develop a simple dynamic model of decision making in the presence of moral constraints. Norm violations induce a temporal feeling of guilt that depreciates with time. Due to endogenous fluctuations of guilt, people exhibit a dynamic inconsistency in social preferences—a behavior we term...

We introduce an alternative version of the Fama-French three-factor model of stock returns together with a new estimation methodology. We assume that the factor betas in the model are smooth nonlinear functions of observed security characteristics. We develop an estimation procedure that...

We propose an easy to use derivative based two-step estimation procedure for semi-parametric index models. In the first step various functionals involving the derivatives of the unknown function are estimated using nonparametric kernel estimators. The functionals used provide moment conditions...

Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing nonstochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series...

We describe and examine a consistent test for the correct specification of a regression function with dependent data. The test is based on the supremum of the difference between the parametric and nonparametric estimates of the regression model. Rather surprisingly, the behaviour of the test...

We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intra-family component but require that observations from different families be in dependent. We establish consistency and asymptotic...