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

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...

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...

The EC (Estimation-Classification) estimator, and its companion EC-algorithm, were introduced in El- Gamal and Grether (1995), and their properties further analyzed in El-Gamal and Grether (1996). The purpose of EC estimation is to uncover heterogeneity in panel data models in a manner which is...

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...