Abstract

This paper derives asymptotically optimal tests for testing problems in which a nuisance parameter exists under the alternative hypothesis but not under the null. For example, the results apply to tests of structural change with unknown changepoint. The testing problem considered is nonstandard and the classical asymptotic optimality results for the Lagrange multiplier, Wald, and likelihood ratio do not apply. A weighted average power criterion is used here to generate optimal tests. This criterion is similar to that used by A. Wald (1943) to obtain the classical asymptotic optimality properties of Wald tests in 'regular' testing problems. Copyright 1994 by The Econometric Society.

Keywords

NuisanceEconometricsNuisance parameterEconomicsMathematicsStatisticsBiologyEcology

Related Publications

Quasi-Likelihood Functions

The connection between quasi-likelihood functions, exponential family models and nonlinear weighted least squares is examined. Consistency and asymptotic normality of the parame...

1983 The Annals of Statistics 769 citations

Publication Info

Year
1994
Type
article
Volume
62
Issue
6
Pages
1383-1383
Citations
2486
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

2486
OpenAlex

Cite This

Donald W. K. Andrews, Werner Ploberger (1994). Optimal Tests when a Nuisance Parameter is Present Only Under the Alternative. Econometrica , 62 (6) , 1383-1383. https://doi.org/10.2307/2951753

Identifiers

DOI
10.2307/2951753