Econometrica

Journal Of The Econometric Society

An International Society for the Advancement of Economic
Theory in its Relation to Statistics and Mathematics

Edited by: Guido W. Imbens • Print ISSN: 0012-9682 • Online ISSN: 1468-0262

Econometrica: Jan, 2002, Volume 70, Issue 1

Higher‐Order Improvements of a Computationally Attractive ‐Step Bootstrap for Extremum Estimators

https://doi.org/10.1111/1468-0262.00271
p. 119-162

Donald W. K. Andrews

This paper establishes the higher‐order equivalence of the ‐step bootstrap, introduced recently by Davidson and MacKinnon (1999), and the standard bootstrap. The ‐step bootstrap is a very attractive alternative computationally to the standard bootstrap for statistics based on nonlinear extremum estimators, such as generalized method of moment and maximum likelihood estimators. The paper also extends results of Hall and Horowitz (1996) to provide new results regarding the higher‐order improvements of the standard bootstrap and the ‐step bootstrap for extremum estimators (compared to procedures based on first‐order asymptotics).


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