Poor (Wo)Man's Bootstrap

45 Pages Posted: 7 Sep 2017

See all articles by Bo E. Honoré

Bo E. Honoré

Princeton University - Department of Economics

Luojia Hu

Federal Reserve Bank of Chicago

Multiple version iconThere are 2 versions of this paper

Date Written: March, 2015

Abstract

The bootstrap is a convenient tool for calculating standard errors of the parameters of complicated econometric models. Unfortunately, the fact that these models are complicated often makes the bootstrap extremely slow or even practically infeasible. This paper proposes an alternative to the bootstrap that relies only on the estimation of one-dimensional parameters. The paper contains no new difficult math. But we believe that it can be useful.

Keywords: bootstrap, standard error, inference, structural models, parametric estimation

JEL Classification: C10, C18

Suggested Citation

Honore, Bo E. and Hu, Luojia, Poor (Wo)Man's Bootstrap (March, 2015). Available at SSRN: https://ssrn.com/abstract=3029743

Bo E. Honore (Contact Author)

Princeton University - Department of Economics ( email )

Princeton, NJ 08544-1021
United States

Luojia Hu

Federal Reserve Bank of Chicago ( email )

230 South LaSalle Street
Chicago, IL 60604
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
15
Abstract Views
472
PlumX Metrics