We analyze the properties of various methods for bias-correcting parameter estimates in both stationary and non-stationary vector autoregressive models. First, we show that two analytical bias formulas from the existing literature are in fact identical. Next, based on a detailed simulation...

The marketing and sales polices of Iranian crude oil have been revised and changed after the Islamic Revolution of 1979. Production policy that drastically cut back production in order to maintain oil reserves for future generations. In terms of marketing Iranian crude oil, the new revolutionary...

Repeated-imputation inference (RII) techniques for estimating nonlinear models with multiply imputed data are described. RII techniques are used to estimate a logit model using the 1995 Survey of Consumer Finances. RII techniques use all information available in multiply imputed data and...

The work of Levine and Renelt (1992) and Sala-i-Martin (1997a, b) which attempted to test the robustness of various determinants of growth rates of per capita GDP among countries using two variants of Edward Leamer's extreme-bounds analysis is reexamined. In a realistic Monte Carlo experiment in...

This paper is a substantially revised version of our earlier working paper, "Truth and Robustness in Cross-country Growth Regressions." The most important revisions concern the handling of missing observations in the cross-country data set. In the earlier paper, these had been handled through...

Background: This presentation deals with the methodological aspects of costing HIV/AIDS treatment programs in developing country settings. Empirical information on the cost of providing antiretroviral therapy (ART) for HIV/AIDS is needed to allow accurate program planning and budgeting. Although...

A paper presented at the July 2002 conference "Economic Statistics: New Needs for the Twenty-First Century," cosponsored by the Federal Reserve Bank of New York, the Conference on Research in Income and Wealth, and the National Association for Business Economics

The optimal minimum distance (OMD) estimator for models of covariance structures is asymptotically efficient but has much worse finite-sample properties than does the equally-weighted minimum distance (EWMD) estimator. This paper shows how the bootstrap can be used to improve the finite-sample...

This paper is concerned with the problems of posterior simulation and model choice for Poisson panel data models with multiple random effects. Efficient algorithms based on Markov Chain Monte Carlo methods for sampling the posterior distribution are developed. A new parameterization of the...

Most hypotheses in binary response models are composite. The null hypothesis is usually that one or more slope coefficients are zero. Typically, the sequence of alternatives of interest is one in which the slope coefficients are increasing in absolute value. In this paper, we prove that the...