Nonparametric Instrumental Variables Estimation

In many economic models, objects of interest are functions which satisfy conditional moment restrictions. Economics does not restrict the functional form of these models, motivating nonparametric methods. In this paper we review identification results and describe a simple nonparametric instrumental...

Full description

Bibliographic Details
Main Author: Newey, Whitney K. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Economics (Contributor)
Format: Article
Language:English
Published: American Economic Association, 2013-12-06T14:14:41Z.
Subjects:
Online Access:Get fulltext
LEADER 01255 am a22001813u 4500
001 82656
042 |a dc 
100 1 0 |a Newey, Whitney K.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Economics  |e contributor 
100 1 0 |a Newey, Whitney K.  |e contributor 
245 0 0 |a Nonparametric Instrumental Variables Estimation 
260 |b American Economic Association,   |c 2013-12-06T14:14:41Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/82656 
520 |a In many economic models, objects of interest are functions which satisfy conditional moment restrictions. Economics does not restrict the functional form of these models, motivating nonparametric methods. In this paper we review identification results and describe a simple nonparametric instrumental variables (NPIV) estimator. We also consider a simple method of inference. In addition we show how the ability to uncover nonlinearities with conditional moment restrictions is related to the strength of the instruments. We point to applications where important nonlinearities can be found with NPIV and applications where they cannot. 
520 |a National Science Foundation (U.S.) (Grant SES 1132399) 
546 |a en_US 
655 7 |a Article 
773 |t American Economic Review