Loading…
Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects
We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity, but unlike alternat...
Saved in:
Published in: | Econometrica 2008-09, Vol.76 (5), p.1191-1206 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c4785-71cdc9ddaeff5f1be9f3494188890bd2872b73401748ce245138c0a9357ec6373 |
---|---|
cites | |
container_end_page | 1206 |
container_issue | 5 |
container_start_page | 1191 |
container_title | Econometrica |
container_volume | 76 |
creator | Florens, J. P. Heckman, J. J. Meghir, C. Vytlacil, E. |
description | We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity, but unlike alternative nonparametric control function approaches, our approach does not require large support assumptions. |
doi_str_mv | 10.3982/ECTA5317 |
format | article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_36991891</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>40056498</jstor_id><sourcerecordid>40056498</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4785-71cdc9ddaeff5f1be9f3494188890bd2872b73401748ce245138c0a9357ec6373</originalsourceid><addsrcrecordid>eNp10d1qFDEUB_AgFlzbgi8gBEHxwtF8zEySyzJudwur9mJLL0M2k9Sss0mbZNA-gO9t9sNVBCGQkPPjn0MOAC8wek8FJx-m3fKioZg9ARNct7xCpCVPwQQhTCrRcvIMPE9pjRBqypqAn1e98dlZp1V2wcNg4TIalTflFk6tNToneJOcv4Nd8DmGAV6OXm9tgs7DT6E3Q4K3Ln_dAefHMKZ3cOr7cGd8Of-Vp3wP5yabuC2Zbe3wwhk4sWpI5vywn4Kby-mym1eLL7Or7mJR6ZrxpmJY91r0vTLWNhavjLC0FjXmnAu06glnZMVojTCruTakbjDlGilBG2Z0Sxk9BW_2ufcxPIwmZblxSZthULt2JG2FwFzgAl_9A9dhjL70JgminLPytwW93SMdQ0rRWHkf3UbFR4mR3A5D_h5Goa8PeSppNdiovHbp6AliuKEIFVft3Xc3mMf_5u0OnDXFv9z7dcohHn1dZtvWgv_JcymbH8e6it9kyyhr5O3nmVyQ69n8Y9fJjv4CgMOwkQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>203887146</pqid></control><display><type>article</type><title>Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects</title><source>EconLit s plnými texty</source><source>International Bibliography of the Social Sciences (IBSS)</source><source>Wiley</source><source>JSTOR Archival Journals and Primary Sources Collection</source><creator>Florens, J. P. ; Heckman, J. J. ; Meghir, C. ; Vytlacil, E.</creator><creatorcontrib>Florens, J. P. ; Heckman, J. J. ; Meghir, C. ; Vytlacil, E.</creatorcontrib><description>We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity, but unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.</description><identifier>ISSN: 0012-9682</identifier><identifier>EISSN: 1468-0262</identifier><identifier>DOI: 10.3982/ECTA5317</identifier><identifier>CODEN: ECMTA7</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Applications ; Coefficients ; Continuous treatment models ; Continuous treatments ; control function ; Econometric models ; Econometrics ; Economic models ; Effects ; endogenous treatments ; Estimators ; Exact sciences and technology ; heterogeneous treatment effects ; identification ; Instrumental variables ; Instrumental variables estimation ; Insurance, economics, finance ; Logical givens ; Mathematical analysis ; Mathematical functions ; Mathematics ; Modeling ; Nonparametric models ; nonseparable models ; Notes and Comments ; Polynomials ; Probability and statistics ; Real functions ; Regression analysis ; Scalars ; Sciences and techniques of general use ; Statistics ; Stochastic models ; Studies</subject><ispartof>Econometrica, 2008-09, Vol.76 (5), p.1191-1206</ispartof><rights>Copyright 2008 The Econometric Society</rights><rights>2008 The Econometric Society</rights><rights>2008 INIST-CNRS</rights><rights>Copyright Blackwell Publishing Ltd. Sep 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4785-71cdc9ddaeff5f1be9f3494188890bd2872b73401748ce245138c0a9357ec6373</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40056498$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40056498$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,33223,33224,58238,58471</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20715300$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Florens, J. P.</creatorcontrib><creatorcontrib>Heckman, J. J.</creatorcontrib><creatorcontrib>Meghir, C.</creatorcontrib><creatorcontrib>Vytlacil, E.</creatorcontrib><title>Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects</title><title>Econometrica</title><description>We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity, but unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.</description><subject>Applications</subject><subject>Coefficients</subject><subject>Continuous treatment models</subject><subject>Continuous treatments</subject><subject>control function</subject><subject>Econometric models</subject><subject>Econometrics</subject><subject>Economic models</subject><subject>Effects</subject><subject>endogenous treatments</subject><subject>Estimators</subject><subject>Exact sciences and technology</subject><subject>heterogeneous treatment effects</subject><subject>identification</subject><subject>Instrumental variables</subject><subject>Instrumental variables estimation</subject><subject>Insurance, economics, finance</subject><subject>Logical givens</subject><subject>Mathematical analysis</subject><subject>Mathematical functions</subject><subject>Mathematics</subject><subject>Modeling</subject><subject>Nonparametric models</subject><subject>nonseparable models</subject><subject>Notes and Comments</subject><subject>Polynomials</subject><subject>Probability and statistics</subject><subject>Real functions</subject><subject>Regression analysis</subject><subject>Scalars</subject><subject>Sciences and techniques of general use</subject><subject>Statistics</subject><subject>Stochastic models</subject><subject>Studies</subject><issn>0012-9682</issn><issn>1468-0262</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNp10d1qFDEUB_AgFlzbgi8gBEHxwtF8zEySyzJudwur9mJLL0M2k9Sss0mbZNA-gO9t9sNVBCGQkPPjn0MOAC8wek8FJx-m3fKioZg9ARNct7xCpCVPwQQhTCrRcvIMPE9pjRBqypqAn1e98dlZp1V2wcNg4TIalTflFk6tNToneJOcv4Nd8DmGAV6OXm9tgs7DT6E3Q4K3Ln_dAefHMKZ3cOr7cGd8Of-Vp3wP5yabuC2Zbe3wwhk4sWpI5vywn4Kby-mym1eLL7Or7mJR6ZrxpmJY91r0vTLWNhavjLC0FjXmnAu06glnZMVojTCruTakbjDlGilBG2Z0Sxk9BW_2ufcxPIwmZblxSZthULt2JG2FwFzgAl_9A9dhjL70JgminLPytwW93SMdQ0rRWHkf3UbFR4mR3A5D_h5Goa8PeSppNdiovHbp6AliuKEIFVft3Xc3mMf_5u0OnDXFv9z7dcohHn1dZtvWgv_JcymbH8e6it9kyyhr5O3nmVyQ69n8Y9fJjv4CgMOwkQ</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Florens, J. P.</creator><creator>Heckman, J. J.</creator><creator>Meghir, C.</creator><creator>Vytlacil, E.</creator><general>Blackwell Publishing Ltd</general><general>Econometric Society</general><general>Blackwell</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>200809</creationdate><title>Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects</title><author>Florens, J. P. ; Heckman, J. J. ; Meghir, C. ; Vytlacil, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4785-71cdc9ddaeff5f1be9f3494188890bd2872b73401748ce245138c0a9357ec6373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Applications</topic><topic>Coefficients</topic><topic>Continuous treatment models</topic><topic>Continuous treatments</topic><topic>control function</topic><topic>Econometric models</topic><topic>Econometrics</topic><topic>Economic models</topic><topic>Effects</topic><topic>endogenous treatments</topic><topic>Estimators</topic><topic>Exact sciences and technology</topic><topic>heterogeneous treatment effects</topic><topic>identification</topic><topic>Instrumental variables</topic><topic>Instrumental variables estimation</topic><topic>Insurance, economics, finance</topic><topic>Logical givens</topic><topic>Mathematical analysis</topic><topic>Mathematical functions</topic><topic>Mathematics</topic><topic>Modeling</topic><topic>Nonparametric models</topic><topic>nonseparable models</topic><topic>Notes and Comments</topic><topic>Polynomials</topic><topic>Probability and statistics</topic><topic>Real functions</topic><topic>Regression analysis</topic><topic>Scalars</topic><topic>Sciences and techniques of general use</topic><topic>Statistics</topic><topic>Stochastic models</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Florens, J. P.</creatorcontrib><creatorcontrib>Heckman, J. J.</creatorcontrib><creatorcontrib>Meghir, C.</creatorcontrib><creatorcontrib>Vytlacil, E.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><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>Econometrica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Florens, J. P.</au><au>Heckman, J. J.</au><au>Meghir, C.</au><au>Vytlacil, E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects</atitle><jtitle>Econometrica</jtitle><date>2008-09</date><risdate>2008</risdate><volume>76</volume><issue>5</issue><spage>1191</spage><epage>1206</epage><pages>1191-1206</pages><issn>0012-9682</issn><eissn>1468-0262</eissn><coden>ECMTA7</coden><abstract>We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity, but unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.3982/ECTA5317</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0012-9682 |
ispartof | Econometrica, 2008-09, Vol.76 (5), p.1191-1206 |
issn | 0012-9682 1468-0262 |
language | eng |
recordid | cdi_proquest_miscellaneous_36991891 |
source | EconLit s plnými texty; International Bibliography of the Social Sciences (IBSS); Wiley; JSTOR Archival Journals and Primary Sources Collection |
subjects | Applications Coefficients Continuous treatment models Continuous treatments control function Econometric models Econometrics Economic models Effects endogenous treatments Estimators Exact sciences and technology heterogeneous treatment effects identification Instrumental variables Instrumental variables estimation Insurance, economics, finance Logical givens Mathematical analysis Mathematical functions Mathematics Modeling Nonparametric models nonseparable models Notes and Comments Polynomials Probability and statistics Real functions Regression analysis Scalars Sciences and techniques of general use Statistics Stochastic models Studies |
title | Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T17%3A42%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20of%20Treatment%20Effects%20Using%20Control%20Functions%20in%20Models%20With%20Continuous,%20Endogenous%20Treatment%20and%20Heterogeneous%20Effects&rft.jtitle=Econometrica&rft.au=Florens,%20J.%20P.&rft.date=2008-09&rft.volume=76&rft.issue=5&rft.spage=1191&rft.epage=1206&rft.pages=1191-1206&rft.issn=0012-9682&rft.eissn=1468-0262&rft.coden=ECMTA7&rft_id=info:doi/10.3982/ECTA5317&rft_dat=%3Cjstor_proqu%3E40056498%3C/jstor_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4785-71cdc9ddaeff5f1be9f3494188890bd2872b73401748ce245138c0a9357ec6373%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=203887146&rft_id=info:pmid/&rft_jstor_id=40056498&rfr_iscdi=true |