This paper uses data available from the National Opinion Research Center's (NORC) survey on religious attitudes and powerful statistical methods to evaluate the effect of prayer on the attitude of God toward human beings. -- Kernel estimator ; unobserved variables

The Clinton administration has made job training and skill upgrading a major priority. Secretary of Labor Robert Reich has already presented a bold program for skill enhancement drawing on a new consensus in certain circles of the social science and policy communities about the need to upgrade...

This paper discusses the problems facing the Mexican economy. It operates under a heavy burden of monopoly and regulation. We focus on two issues that should receive more attention in discussions of Mexican policy. (1) The family is under stress in Mexico and this retards the growth of skills of...

Using the NLSY79 and the NLSY79 Children and Young Adults datasets, this paper formulates, provides conditions for parametric and non-parametric identification and empirically estimates the parameters of an altruistic model of parental preschool investment within a structural dynamic programming...

We consider the identification of the average treatment effect in models with continuous endogenous variables whose impact is heterogeneous. We derive a testable restriction that allows us to assess the degree of unobserved heterogeneity. Our analysis uses assumptions relating to the Local...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

This paper estimates the marginal returns to college for individuals induced to enroll in college by different marginal policy changes. The recent instrumental variables literature seeks to estimate this parameter, but in general it does so only under strong assumptions that are tested and found...