← Search

The Review of Economics and Statistics Vol. 81 No. 4 1999

Bootstrap Variance Estimation of Nonlinear Functions of Parameters: An Application to Long-Run Elasticities of Energy Demand

Hongyi Li1; G. S. Maddala2

1 Chinese University of Hong Kong · 2 The Ohio State University

Abstract

In many practical applications, one is interested in obtaining confidence intervals for nonlinear functions of the parameters. This paper considers the following different methods: Fieller's method, Taylor's series expansion, and bootstrap methods. Compared to some of the earlier results in the empirical studies that are against the application of bootstrap, our results suggest a different conclusion in favor of the bootstrap methods.

DOI
10.1162/003465399558445
Volume
81
Issue
4
Pages
728-733
Language
en
Sources
openalex crossref

Cite