Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64681 
Year of Publication: 
2010
Series/Report no.: 
cemmap working paper No. CWP19/10
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
This paper is concerned with developing uniform confidence bands for functions estimated nonparametrically with instrumental variables. We show that a sieve nonparametric instrumental variables estimator is pointwise asymptotically normally mental variables estimator is pointwise asymptotically normally and severely ill-posed cases. We present an interpolation method to obtain a uniform confidence band and show that the bootstrap can be used to obtain the required critical values. Monte Carlo experiments illustrate the finite-sample performance of the uniform confidence band.
Subjects: 
bootstrap
instrumental variables
sieve estimator
uniform confidence band
JEL: 
C13
C14
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
File
Size
368.64 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.