This paper discusses estimation methods for limited dependent variable (LDV) models that employ Monte Carlo simulation techniques to overcome computational problems in such models. These difficulties take the form of high dimensional integrals that need to be calculated repeatedly but cannot be...

We present asymptotic distribution theory for the inverse-density-weighted quasi-maximum likelihood estimator of semi-parametric index models proposed by Ruud. We also compare the performance of this estimator with the average derivative estimators proposed by Stoker.

This paper extends earlier work on the R&D to patents relationship (Pakes-Griliches 1980, and Hausman, Hall, and Griliches, 1984) to a larger but shorter panel of firms. Using both non-linear least squares and Poisson type models to treat the problem of discreteness in the dependent variable the...

Hausman (2003) discusses four sources of bias in the present calculation of the CPI. A pure price' index based approach of surveying prices as done by the BLS cannot succeed in solving the problems of bias. We discuss economic and econometric approaches to measuring the first order bias effects...

Introduction