Lorenzo Cappellari

Bio: Lorenzo Cappellari is an academic researcher from Catholic University of the Sacred Heart. The author has contributed to research in topics: Earnings & Wage. The author has an hindex of 36, co-authored 126 publications receiving 4696 citations. Previous affiliations of Lorenzo Cappellari include University of Luxembourg & University of Eastern Piedmont.

Multivariate probit regression using simulated maximum likelihood

Abstract: We discuss the application of the GHK simulation method for maximum likelihood estimation of the multivariate probit regression model and describe and illustrate a Stata program mvprobit for this purpose.

Modelling low income transitions

Abstract: We examine the determinants of low income transitions using first-order Markov models that control for initial conditions effects (those found to be poor in the base year may be a non-random sample) and for attrition (panel retention may also be non-random). Our econometric model is a form of endogeneous switching regression, and is fitted using simulated maximum likelihood methods. The estimates, derived from British panel data for the 1990s, indicate that there is substantial genuine state dependence in poverty. We also provide estimates of low income transition rates and lengths of poverty and non-poverty spells for persons of different types.

Does union membership really reduce job satisfaction

Abstract: We investigate the effect of union membership on job satisfaction. Whilst it is common to study the effects of union status on satisfaction treating individual membership as given, in this paper, we account for the endogenous selection induced by the sorting of workers into unionised jobs. Using linked employer-employee data from the 1998 British Workplace Employee Relations Survey, we address the question of how the membership decision is related to overall job satisfaction and to satisfaction with pay. Once the endogeneity of membership is accounted for, the marked difference in job satisfaction between unionised and non-unionised workers characterising raw data disappears, indicating that a selection effect, rather than a causal effect, explains the relationship.

Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation Discussion Papers

Abstract: We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: mdraws for deriving draws from the standard uniform density using either Halton or pseudorandom sequences, and an egen function, mvnp(), for calculating the probabilities themselves. Several illustrations show how the programs may be used for maximum simulated likelihood estimation.

Does Union Membership Really Reduce Job Satisfaction

Abstract: We investigate the effect of union membership on job satisfaction. Whilst it is common to study the effects of union status on satisfaction treating individual membership as given, in this paper, we account for the endogenous selection induced by the sorting of workers into unionised jobs. Using linked employer-employee data from the 1998 British Workplace Employee Relations Survey, we address the question of how the membership decision is related to overall job satisfaction and to satisfaction with pay. Once the endogeneity of membership is accounted for, the marked difference in job satisfaction between unionised and non-unionised workers characterising raw data disappears, indicating that a selection effect, rather than a causal effect, explains the relationship.

Gender Differences in Preferences

Abstract: This paper reviews the literature on gender differences in economic experiments. In the three main sections, we identify robust differences in risk preferences, social (other-regarding) preferences, and competitive preferences. We also speculate on the source of these differences, as well as on their implications. Our hope is that this article will serve as a resource for those seeking to understand gender differences and to use as a starting point to illuminate the debate on gender-specific outcomes in the labor and goods markets.

Incentives and Prosocial Behavior

Abstract: We develop a theory of prosocial behavior that combines heterogeneity in individual altruism and greed with concerns for social reputation or self-respect. Rewards or punishments (whether material or imagerelated) create doubt about the true motive for which good deeds are performed and this “overjustification effect” can induce a partial or even net crowding out of prosocial behavior by extrinsic incentives. We also identify the settings that are conducive to multiple social norms and more generally those that make individual actions complements or substitutes, which we show depends on whether stigma or honor is (endogenously) the dominant reputational concern. Finally, we analyze the socially optimal level of incentives and how monopolistic or competitive sponsors depart from it. Sponsor competition is shown to potentially reduce social welfare.

Federal Reserve Bank of New Yorkの制定せる財務諸表様式について

Abstract: Enclosed is a copy of the Board of Governors’ Semiannual Agenda of Regulations for the period August 1, 1980 through February 1, 1981. The Semiannual Agenda provides you with information on those regulatory matters that the Board now has under consideration or anticipates considering over the next six months, and is divided into three parts: (1) regulatory matters that the Board had considered during the previous six months on which final action has been taken; (2) regulatory matters that have been proposed for public comment and that require further Board consideration; and (3) regulatory matters that the Board may consider over the next six months.

Do People Mean What They Say? Implications for Subjective Survey Data

Abstract: Four main messages emerge from the study of subjective survey data. First, a large experimental literature by and large supports economists' skepticism of subjective questions. Second, put in an econometric framework, these findings cast serious doubts on attempts to use subjective data as dependent variables, because the measurement error appears to correlate with a large set of characteristics in behaviors. Third, these data may be useful as explanatory variables. Finally, the empirical work suggests that subjective variables are useful in practice for explaining differences in behavior across individuals. Changes in answers to these questions, however, do not appear useful in explaining changes in behavior.