Extremum estimation is typically an ad hoc semi-parametric estimation procedure which is only justified on the basis of the asymptotic properties of the estimators. For a fixed finite data set, consider a large number of investigations using different extremum estimators to estimate the same...

In this paper we obtain bounds under weaker nonparametric assumptions and explore how the bounds with assumptions imposed.

The objective of this paper is to determine how finite dimensional parameters can be efficiently estimated for an important class of economic models.

In this paper, I analyze recent findings by Coe and Helpman (1995) of trade-related international R&D spillovers. I show generally that randomly created bilateral trade shares also give rise to large estimated international R&D spillovers; often, in fact, to larger estimated spillover effects...

In many time series models, an infinite number of moments can be used for estimation in a large sample. I supply a technically undemanding proof of a condition for optimal instrumental variables use of such moments in a parametric model. I also illustrate application of the condition in...

This paper puts forth a concept of Adptivety Rational Equilibrium (A.R.E) where agents base decisions upon predictions of future values of endogenous variables whose actual values are determined by equilibrium equations.

This paper combines techniques drawn from the literature on evolutionary optimization algorithms along with bootstrap based statistical tests. Bootstrapping is used as a general framework for estimating objectives out of sample by redrawing subsets from a training sample. Evolution is used to...