Identifying treatment effects in the presence of confounded types
Author
Abstract
Suggested Citation
DOI: 10.1016/j.jeconom.2021.01.012
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Donald W. K. Andrews & Xiaoxia Shi, 2013.
"Inference Based on Conditional Moment Inequalities,"
Econometrica, Econometric Society, vol. 81(2), pages 609-666, March.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
- Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
- Charles F. Manski, 1997.
"Monotone Treatment Response,"
Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
- Manski, C.F., 1996. "Monotone Treatment Response," Working papers 9604, Wisconsin Madison - Social Systems.
- Jochmans, Koen & Henry, Marc & Salanié, Bernard, 2017.
"Inference On Two-Component Mixtures Under Tail Restrictions,"
Econometric Theory, Cambridge University Press, vol. 33(3), pages 610-635, June.
- Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," SciencePo Working papers Main hal-03945858, HAL.
- Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," Post-Print hal-03945858, HAL.
- Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.
- Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013.
"Intersection Bounds: Estimation and Inference,"
Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2009. "Intersection Bounds: estimation and inference," CeMMAP working papers CWP19/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2012. "Intersection bounds: estimation and inference," CeMMAP working papers CWP33/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2012. "Intersection bounds: estimation and inference," CeMMAP working papers 33/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2009. "Intersection Bounds: estimation and inference," CeMMAP working papers 19/09, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2011. "Intersection bounds: estimation and inference," CeMMAP working papers 34/11, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2011. "Intersection bounds: estimation and inference," CeMMAP working papers CWP34/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Wooyoung Kim & Sokbae Lee & Adam M. Rosen, 2015.
"Implementing intersection bounds in Stata,"
Stata Journal, StataCorp LP, vol. 15(1), pages 21-44, March.
- Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen, 2013. "Implementing intersection bounds in Stata," CeMMAP working papers 38/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen, 2014. "Implementing intersection bounds in Stata," CeMMAP working papers 25/14, Institute for Fiscal Studies.
- Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen, 2014. "Implementing intersection bounds in Stata," CeMMAP working papers CWP25/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen, 2013. "Implementing intersection bounds in Stata," CeMMAP working papers CWP38/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- James J. Heckman & Edward Vytlacil, 2005.
"Structural Equations, Treatment Effects, and Econometric Policy Evaluation,"
Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
- James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Working Papers 11259, National Bureau of Economic Research, Inc.
- James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Technical Working Papers 0306, National Bureau of Economic Research, Inc.
- Toru Kitagawa, 2015. "A Test for Instrument Validity," Econometrica, Econometric Society, vol. 83(5), pages 2043-2063, September.
- Takuya Ura, 2018. "Heterogeneous treatment effects with mismeasured endogenous treatment," Quantitative Economics, Econometric Society, vol. 9(3), pages 1335-1370, November.
- Arthur Lewbel, 2007.
"Estimation of Average Treatment Effects with Misclassification,"
Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
- Arthur Lewbel, 2003. "Estimation of Average Treatment Effects With Misclassification," Boston College Working Papers in Economics 556, Boston College Department of Economics, revised 04 Sep 2006.
- Arthur Lewbel, 2004. "Estimation of Average Treatment Effects With Misclassification," Econometric Society 2004 North American Winter Meetings 210, Econometric Society.
- Ismael Mourifié & Yuanyuan Wan, 2017.
"Testing Local Average Treatment Effect Assumptions,"
The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
- Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
- Zhichao Jiang & Peng Ding, 2020. "Measurement errors in the binary instrumental variable model," Biometrika, Biometrika Trust, vol. 107(1), pages 238-245.
- Andrews, Donald W.K. & Shi, Xiaoxia, 2014.
"Nonparametric inference based on conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 179(1), pages 31-45.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2013.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2013.
- Darren Lubotsky & Martin Wittenberg, 2006.
"Interpretation of Regressions with Multiple Proxies,"
The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 549-562, August.
- Darren Lubotsky & Martin Wittenberg, 2001. "Interpretation of Regressions with Multiple Proxies," Econometrics 0110005, University Library of Munich, Germany.
- Darren Lubotsky & Martin Wittenberg, 2001. "Interpretation of Regressions with Multiple Proxies," Working Papers 836, Princeton University, Department of Economics, Industrial Relations Section..
- Imbens, Guido W & Angrist, Joshua D, 1994.
"Identification and Estimation of Local Average Treatment Effects,"
Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
- Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
- Charles F. Manski & John V. Pepper, 2000.
"Monotone Instrumental Variables, with an Application to the Returns to Schooling,"
Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
- Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables with an Application to the Returns to Schooling," NBER Technical Working Papers 0224, National Bureau of Economic Research, Inc.
- Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
- repec:cwl:cwldpp:1840rr is not listed on IDEAS
- Martin Huber & Lukas Laffers & Giovanni Mellace, 2017. "Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 56-79, January.
- Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "Partial Identification of Local Average Treatment Effects With an Invalid Instrument," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(4), pages 534-545, October.
- Leonardo Grilli & Fabrizia Mealli, 2008. "Nonparametric Bounds on the Causal Effect of University Studies on Job Opportunities Using Principal Stratification," Journal of Educational and Behavioral Statistics, , vol. 33(1), pages 111-130, March.
- Chalak, Karim, 2017. "Instrumental Variables Methods With Heterogeneity And Mismeasured Instruments," Econometric Theory, Cambridge University Press, vol. 33(1), pages 69-104, February.
- Martin Huber & Giovanni Mellace, 2015.
"Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints,"
The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
- Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity for LATE identification based on inequality moment constraints," Economics Working Paper Series 1143, University of St. Gallen, School of Economics and Political Science.
- Xuan Chen & Carlos A. Flores & Alfonso Flores-Lagunes, 2018. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," Journal of Human Resources, University of Wisconsin Press, vol. 53(4), pages 1050-1099.
- Marc Henry & Yuichi Kitamura & Bernard Salanié, 2014. "Partial identification of finite mixtures in econometric models," Quantitative Economics, Econometric Society, vol. 5, pages 123-144, March.
- Aprajit Mahajan, 2006. "Identification and Estimation of Regression Models with Misclassification," Econometrica, Econometric Society, vol. 74(3), pages 631-665, May.
- Donna K. Ginther, 2000. "Alternative Estimates of the Effect of Schooling on Earnings," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 103-116, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kedagni, Desire, 2018.
"Identifying Treatment Effects in the Presence of Confounded Types,"
ISU General Staff Papers
201809110700001056, Iowa State University, Department of Economics.
- Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
- Santiago Acerenza & Otávio Bartalotti & Désiré Kédagni, 2023.
"Testing identifying assumptions in bivariate probit models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 407-422, April.
- Acerenza, Santiago & Bartalotti, Otávio & Kedagni, Desire, 2021. "Testing Identifying Assumptions in Bivariate Probit Models," ISU General Staff Papers 202103290700001124, Iowa State University, Department of Economics.
- Xintong Wang & Alfonso Flores-Lagunes, 2022.
"Conscription and Military Service: Do They Result in Future Violent and Nonviolent Incarcerations and Recidivism?,"
Journal of Human Resources, University of Wisconsin Press, vol. 57(5), pages 1715-1757.
- Wang, Xintong & Flores-Lagunes, Alfonso, 2020. "Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?," IZA Discussion Papers 14003, Institute of Labor Economics (IZA).
- Wang, Xintong & Flores-Lagunes, Alfonso, 2021. "Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?," GLO Discussion Paper Series 751, Global Labor Organization (GLO).
- Ban, Kyunghoon & Kedagni, Desire, 2020.
"Nonparametric Bounds on Treatment Effects with Imperfect Instruments,"
ISU General Staff Papers
202010120700001113, Iowa State University, Department of Economics.
- Kyunghoon Ban & D'esir'e K'edagni, 2021. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," Papers 2109.14785, arXiv.org.
- Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
- Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022.
"Testing identifying assumptions in fuzzy regression discontinuity designs,"
Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2018. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP50/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP10/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifie & Yuanyuan Wan, 2018. "Testing Identifying Assumptions In Fuzzy Regression Discontinuity Designs," Working Papers tecipa-623, University of Toronto, Department of Economics.
- Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
- Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Huber Martin & Wüthrich Kaspar, 2019.
"Local Average and Quantile Treatment Effects Under Endogeneity: A Review,"
Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
- Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
- Andrew E Clark & Rong Zhu, 2023.
"Taking Back Control? Quasi-Experimental Evidence on the Impact of Retirement on Locus of Control,"
Working Papers
halshs-04335808, HAL.
- Andrew E Clark & Rong Zhu, 2023. "Taking Back Control? Quasi-Experimental Evidence on the Impact of Retirement on Locus of Control," PSE Working Papers halshs-04335808, HAL.
- Clark, Andrew E. & Zhu, Rong, 2023. "Taking Back Control? Quasi-Experimental Evidence on the Impact of Retirement on Locus of Control," IZA Discussion Papers 16704, Institute of Labor Economics (IZA).
- Lukáš Lafférs, 2019.
"Identification in Models with Discrete Variables,"
Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 657-696, February.
- Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
- Tsunao Okumura & Emiko Usui, 2014.
"Concave‐monotone treatment response and monotone treatment selection: With an application to the returns to schooling,"
Quantitative Economics, Econometric Society, vol. 5, pages 175-194, March.
- Okumura, Tsunao & Usui, Emiko, 2010. "Concave-Monotone Treatment Response and Monotone Treatment Selection: With an Application to the Returns to Schooling," IZA Discussion Papers 4986, Institute of Labor Economics (IZA).
- Okumura, Tsunao & 奥村, 綱雄 & オクムラ, ツナオ & Usui, Emiko & 臼井, 恵美子 & ウスイ, エミコ, 2010. "Concave-Monotone Treatment Response and Monotone Treatment Selection: With an Application to the Returns to Schooling," PIE/CIS Discussion Paper 475, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
- Martin E Andresen & Martin Huber, 2021.
"Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction,"
The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
- Eckhoff Andresen, Martin & Huber, Martin, 2018. "Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction," FSES Working Papers 492, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015.
"Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training,"
IZA Discussion Papers
9511, Institute of Labor Economics (IZA).
- Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
- Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023.
"Identifying marginal treatment effects in the presence of sample selection,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
- Bartalotti, Otávio & Kedagni, Desire & Possebom, Vitor, 2019. "Identifying Marginal Treatment Effects in the Presence of Sample Selection," ISU General Staff Papers 201909150700001080, Iowa State University, Department of Economics.
- Ot'avio Bartalotti & D'esir'e K'edagni & Vitor Possebom, 2021. "Identifying Marginal Treatment Effects in the Presence of Sample Selection," Papers 2112.07014, arXiv.org.
- Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vítor Augusto, 2021. "Identifying Marginal Treatment Effects in the Presence of Sample Selection," IZA Discussion Papers 14428, Institute of Labor Economics (IZA).
- Tommasi, Denni & Zhang, Lina, 2024.
"Bounding program benefits when participation is misreported,"
Journal of Econometrics, Elsevier, vol. 238(1).
- Tommasi, Denni & Zhang, Lina, 2020. "Bounding Program Benefits When Participation Is Misreported," IZA Discussion Papers 13430, Institute of Labor Economics (IZA).
- Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
- Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
- Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
- Machado, Cecilia & Shaikh, Azeem M. & Vytlacil, Edward J., 2019. "Instrumental variables and the sign of the average treatment effect," Journal of Econometrics, Elsevier, vol. 212(2), pages 522-555.
- Rui Wang, 2023. "Point Identification of LATE with Two Imperfect Instruments," Papers 2303.13795, arXiv.org.
More about this item
Keywords
Potential outcome; Instrumental variable; LATE; Compliers; Mixture models;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:econom:v:234:y:2023:i:2:p:479-511. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jeconom .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.