Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/130670
Authors: 
Honoré, Bo E.
Hu, Luojia
Year of Publication: 
2015
Series/Report no.: 
Working Paper, Federal Reserve Bank of Chicago 2015-01
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.
Subjects: 
standard error
bootstrap
inference
structural models
parametric estimation
JEL: 
C10
C18
Document Type: 
Working Paper

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