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Review of Economic Studies Vol. 62 No. 3 1995

Nonlinear Econometric Models with Deterministically Trending Variables

Donald W. K. Andrews; C. John McDermott

Cowles Foundation for Research in Economics, Yale University

Abstract

This paper considers an alternative asymptotic framework to standard sequential asymptotics for nonlinear models with deterministically trending variables. The asymptotic distributions of generalized method of moments estimators and corresponding test statistics are derived using this framework. The asymptotic distributions are shown to be the same with deterministically trending variables as with non-trending variables. That is, the distributions are normal and chi-squared respectively. The asymptotic covariance matrices of the estimators, however, are found to depend on the form of the trends. These findings provide a justification for the use of standard asymptotic approximations in nonlinear models even when the variables have deterministic trends.

DOI
10.2307/2298032
Volume
62
Issue
3
Pages
343
Sources
bibtex:phds-export.bib openalex crossref

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