This paper considers estimation of a panel data model with disturbances that are autocorrelated across cross …. If the time dimension of the data is large, feasible and efficient estimation proceeds by using the time dimension to … estimate spatial dependence parameters. For the case where the time dimension is small (the usual panel data case), we develop …

stylized facts about entry and exit of informal, non-farm firms using nationally representative panel data over 15 years and …

today. The level of corruption is weakly correlated with the level of income inequality and racial fractionalization, and …We use a data set of federal corruption convictions in the U.S. to investigate the causes and consequences of … corruption. More educated states, and to a less degree richer states, have less corruption. This relationship holds even when we …

obstacles associated with corruption and weak institutions. We model these circumstances in a principal-agent framework with … economic corruption as an indicator of the strength of property right enforcement within a given country. We compare corruption … levels for a large cross section of countries in 1989 to subsequent FDI flows from 1990 to 1999. We find that corruption is …

We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic …

In this paper I analyze GMM estimation when the sample is not a random draw from the population of interest. I exploit … Dutch Transportation Panel, in which refreshment draws were taken from the population of interest in order to deal with … heavy attrition of the original panel. I show how these additional samples can be used to adjust for sample selection …