An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that generalize ordered probit are compared to regression models that generalize...

For vectors x and w, let r(x,w) be a function that can be nonparametrically estimated consistently and asymptotically normally. We provide consistent, asymptotically normal estimators for the functions g and h, where r(x,w) = h[g(x),w], g is linearly homogeneous and h is monotonic in g. This...

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...

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...