A dual approach to inference for partially identified econometric models
This paper considers inference for the set ΘI of parameter values that minimize a criterion function. Chernozhukov et al. (2007) (CHT) develop a general theory of estimation and inference using the level-set of a criterion function. We establish a dual relationship between the level-set estimator an...
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Veröffentlicht in: | Journal of econometrics 2016-05, Vol.192 (1), p.269-290 |
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description | This paper considers inference for the set ΘI of parameter values that minimize a criterion function. Chernozhukov et al. (2007) (CHT) develop a general theory of estimation and inference using the level-set of a criterion function. We establish a dual relationship between the level-set estimator and its support function and show that the properly normalized support function provides alternative Wald-type inference methods. These methods can be used to obtain confidence sets for ΘI and points inside it. For models with finitely many moment inequalities, we show that our Wald-type statistic is asymptotically equivalent to CHT’s statistic under regularity conditions. |
doi_str_mv | 10.1016/j.jeconom.2015.12.017 |
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(2007) (CHT) develop a general theory of estimation and inference using the level-set of a criterion function. We establish a dual relationship between the level-set estimator and its support function and show that the properly normalized support function provides alternative Wald-type inference methods. These methods can be used to obtain confidence sets for ΘI and points inside it. For models with finitely many moment inequalities, we show that our Wald-type statistic is asymptotically equivalent to CHT’s statistic under regularity conditions.</description><subject>Asymptotic methods</subject><subject>Criterion function</subject><subject>Econometrics</subject><subject>Estimating techniques</subject><subject>Mathematical functions</subject><subject>Mathematical models</subject><subject>Partial identification</subject><subject>Set theory</subject><subject>Studies</subject><subject>Support function</subject><issn>0304-4076</issn><issn>1872-6895</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLxDAQx4MouK5-BCHguTWTx6Y9ybL4ggUveg5pMsWUblPTrrDf3pbu3dMc5v-Y-RFyDywHBpvHJm_QxS4ecs5A5cBzBvqCrKDQPNsUpbokKyaYzCTTm2tyMwwNY0zJQqzI25b6o22p7fsUrfumY6ShqzFh55DWMdHepjHYtj3R4LEbQx3Q06UPxxQcPUSP7XBLrmrbDnh3nmvy9fL8uXvL9h-v77vtPnOSwZgpjoKDtY6hl1xUttLSCwuVE4Wdl6IErVTJlHKyUq7kGrRX3NZVrUqBYk0eltzp3p8jDqNp4jF1U6UBrRnTICVMKrWoXIrDkLA2fQoHm04GmJmhmcacoZkZmgFuJmiT72nxTR_hb8BkBhdmFD4kdKPxMfyT8Adi93f3</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Kaido, Hiroaki</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20160501</creationdate><title>A dual approach to inference for partially identified econometric models</title><author>Kaido, Hiroaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c401t-52e321aac0ed423bab74d3a1bc38a52e33917559055c4b5c92717d52afbf593e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Asymptotic methods</topic><topic>Criterion function</topic><topic>Econometrics</topic><topic>Estimating techniques</topic><topic>Mathematical functions</topic><topic>Mathematical models</topic><topic>Partial identification</topic><topic>Set theory</topic><topic>Studies</topic><topic>Support function</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaido, Hiroaki</creatorcontrib><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Journal of econometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaido, Hiroaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A dual approach to inference for partially identified econometric models</atitle><jtitle>Journal of econometrics</jtitle><date>2016-05-01</date><risdate>2016</risdate><volume>192</volume><issue>1</issue><spage>269</spage><epage>290</epage><pages>269-290</pages><issn>0304-4076</issn><eissn>1872-6895</eissn><coden>JECMB6</coden><abstract>This paper considers inference for the set ΘI of parameter values that minimize a criterion function. 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subjects | Asymptotic methods Criterion function Econometrics Estimating techniques Mathematical functions Mathematical models Partial identification Set theory Studies Support function |
title | A dual approach to inference for partially identified econometric models |
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