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

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with...

We consider the misreporting of illicit drug use and juvenile smoking in self-report surveys and its consequences for statistical inference. Panel data containing repeated self-reports of 'lifetime' prevalence give unambiguous evidence of misreporting as 'recanting' of earlier reports of drug...

I examine the effects of FCC regulation on the innovation and introduction of advanced telecommunications services in the U.S. An interim of lighter regulation provides an experiment to test the regulatory regime''s impact on innovation. The econometric model comprises an arrival process (for...

The effects that regulation has on the innovation and the introduction of new telecommunications services have not been previously quantified in the literature. This study compares state-regulated services in Indiana under rate of return regulation (RoRR) and under alternative regulation. The...

This paper examines the degree of monetary policy coordination between major industrialized countries from a completely new perspective. The analysis uses a new data set on central bank issued interest rate targets for 14 OECD countries. The methodology that we use decomposes the notion of...

Herd behavior is often viewed as a significant threat for the stability and effciency of financial markets. This paper sheds new light on the relevance of herd behavior for observed correlation of trades. We introduce numerical simulations of a herd model to derive theory-guided predictions...

We examine monthly variation in weekly work hours using data for 2003-10 from the Current Population Survey (CPS) on hours/worker, from the Current Employment Survey (CES) on hours/job, and from the American Time Use Survey (ATUS) on both. The ATUS data minimize recall difficulties and constrain...

Standard fixed symmetric kernel type density estimators are known to encounter problems for positive random variables with a large probability mass close to zero. We show that in such settings, alternatives of asymmetric gamma kernel estimators are superior but also differ in asymptotic and...