This paper outlines a two-stage technique for estimation and inference in probit models with structural group effects. The structural group specification belongs to a broader class of random components models. In particular, individuals in a given group share a common component in the...

We examine the choice between Foreign Direct Investment and Foreign Portfolio Investment at the level of the source country. Based on a theoretical model, we predict that (1) source countries with higher probability of aggregate liquidity crises export relatively more FPI than FDI, and (2) this...

Objective: We evaluated the impact of Seguro Popular (SP), a program introduced in 2001 in Mexico primarily to finance health care for the poor. We studied the effect of SP on pregnant women's access to obstetrical services. Data: We analyzed the cross-sectional 2006 National Health and...

In this paper we provide a simple, credible method for assessing the effects of climate change on the quality of agricultural land and then apply this method using a rich set of data on the vineyards of the Mosel Valley in Germany. The basic idea is to use a simple model of solar radiation to...

Using a large sample of establishments drawn from the Multi-City Study of Urban Inequality (MCSUI) employer survey, we study gender differences in promotion rates and in the wage gains attached to promotions. Several unique features of our data distinguish our analysis from the previous...

We propose a method for estimating static games of incomplete information. A static game is a generalization of a discrete choice model, such as a multinomial logit or probit, which allows the actions of a group of agents to be interdependent. Unlike most earlier work, the method we propose is...

We estimate the conditional distribution of trade-to-trade price changes using ordered probit, a statistical model for discrete random variables. Such an approach takes into account the fact that transaction price changes occur in discrete increments, typically eighths of a dollar, and occur at...

Models having multivariate probit and related structures arise often in applied health economics. When the outcome dimensions of such models are large, however, estimation can be challenging owing to numerical computation constraints and/or speed. This paper suggests the utility of estimating...

Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often the main target of applied microeconometric analysis. In the specific context of probit models such estimation is straightforward in univariate models, and Greene, 1996, 1998, has...