Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters
Author
Abstract
Suggested Citation
DOI: 10.3982/ECTA15463
Download full text from publisher
References listed on IDEAS
- Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010.
"Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin,"
Econometrica, Econometric Society, vol. 78(1), pages 377-394, January.
- Pedro Carneiro & James Heckman & Edward Vytlacil, 2009. "Evaluating marginal policy changes and the average effect of treatment for individuals at the margin," CeMMAP working papers CWP21/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2009. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," NBER Working Papers 15211, National Bureau of Economic Research, Inc.
- Carneiro, Pedro & Heckman, James J. & Vytlacil, Edward, 2009. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," IZA Discussion Papers 4324, Institute of Labor Economics (IZA).
- Amanda Kowalski, 2016.
"Doing more when you're running LATE: Applying marginal treatment effect methods to examine treatment effect heterogeneity in experiments,"
Artefactual Field Experiments
00560, The Field Experiments Website.
- Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments," NBER Working Papers 22363, National Bureau of Economic Research, Inc.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 2002.
"Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings,"
Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 1999. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Working papers 99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
- 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.
- Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011.
"Estimating Marginal Returns to Education,"
American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
- Carneiro, Pedro & Heckman, James J. & Vytlacil, Edward, 2010. "Estimating Marginal Returns to Education," IZA Discussion Papers 5275, Institute of Labor Economics (IZA).
- Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2010. "Estimating Marginal Returns to Education," NBER Working Papers 16474, National Bureau of Economic Research, Inc.
- Pedro Carneiro & James Heckman & Edward Vytlacil, 2010. "Estimating marginal returns to education," CeMMAP working papers CWP29/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Heckman, James J. & Urzúa, Sergio, 2010.
"Comparing IV with structural models: What simple IV can and cannot identify,"
Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
- James J. Heckman & Sergio Urzua, 2009. "Comparing IV With Structural Models: What Simple IV Can and Cannot Identify," NBER Working Papers 14706, National Bureau of Economic Research, Inc.
- Heckman, James J. & Urzua, Sergio, 2009. "Comparing IV with Structural Models: What Simple IV Can and Cannot Identify," IZA Discussion Papers 3980, Institute of Labor Economics (IZA).
- Sergio Urzua & James J. Heckman, 2009. "Comparing IV with Structural Models: What Simple IV Can and Cannot Identify," Working Papers 200906, Geary Institute, University College Dublin.
- James Heckman & Sergio Urzua, 2010. "Comparing IV with structural models: what simple IV can and cannot identify," CeMMAP working papers CWP08/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Eric French & Jae Song, 2014.
"The Effect of Disability Insurance Receipt on Labor Supply,"
American Economic Journal: Economic Policy, American Economic Association, vol. 6(2), pages 291-337, May.
- Eric French & Jae Song, 2009. "The effect of disability insurance receipt on labor supply," Working Paper Series WP-09-05, Federal Reserve Bank of Chicago.
- 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.
- James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006.
"Understanding Instrumental Variables in Models with Essential Heterogeneity,"
The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
- James J. Heckman & Sergio Urzua & Edward J. Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," NBER Working Papers 12574, National Bureau of Economic Research, Inc.
- James J. Heckman & Sergio Urzua & Edward Vytlacil, 2009. "Understanding Instrumental Variables in Models with Essential Heterogeneity," Working Papers 200941, Geary Institute, University College Dublin.
- Heckman, James J. & Urzua, Sergio & Vytlacil, Edward, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," IZA Discussion Papers 2320, Institute of Labor Economics (IZA).
- Nicole Maestas & Kathleen J. Mullen & Alexander Strand, 2013.
"Does Disability Insurance Receipt Discourage Work? Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt,"
American Economic Review, American Economic Association, vol. 103(5), pages 1797-1829, August.
- Nicole Maestas & Kathleen Mullen & Alexander Strand, 2012. "Does Disability Insurance Receipt Discourage Work? Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt," Working Papers wp241, University of Michigan, Michigan Retirement Research Center.
- Stinchcombe, Maxwell B. & White, Halbert, 1998. "Consistent Specification Testing With Nuisance Parameters Present Only Under The Alternative," Econometric Theory, Cambridge University Press, vol. 14(3), pages 295-325, June.
- Mourifié, Ismael, 2015.
"Sharp bounds on treatment effects in a binary triangular system,"
Journal of Econometrics, Elsevier, vol. 187(1), pages 74-81.
- Ismael MOURIFIÉ, 2013. "Sharp Bounds On Treatment Effects In A Binary Triangular System," Working Papers tecipa-498, University of Toronto, Department of Economics.
- Matthew A Masten, 2018.
"Random Coefficients on Endogenous Variables in Simultaneous Equations Models,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 1193-1250.
- Matthew Masten, 2014. "Random coefficients on endogenous variables in simultaneous equations models," CeMMAP working papers CWP01/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Matthew Masten, 2015. "Random coefficients on endogenous variables in simultaneous equations models," CeMMAP working papers 25/15, Institute for Fiscal Studies.
- Matthew Masten, 2014. "Random coefficients on endogenous variables in simultaneous equations models," CeMMAP working papers 01/14, Institute for Fiscal Studies.
- Matthew Masten, 2015. "Random coefficients on endogenous variables in simultaneous equations models," CeMMAP working papers CWP25/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Charles F. Manski, 1989. "Anatomy of the Selection Problem," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 343-360.
- Angrist, Joshua D & Evans, William N, 1998.
"Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size,"
American Economic Review, American Economic Association, vol. 88(3), pages 450-477, June.
- Joshua D. Angrist & William N. Evans, 1996. "Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size," NBER Working Papers 5778, National Bureau of Economic Research, Inc.
- Guido W. Imbens, 2010.
"Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009),"
Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
- Guido W. Imbens, 2009. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," NBER Working Papers 14896, National Bureau of Economic Research, Inc.
- repec:adr:anecst:y:2008:i:91-92:p:12 is not listed on IDEAS
- Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens, 2000. "The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 499-527.
- Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012.
"Treatment effect bounds: An application to Swan–Ganz catheterization,"
Journal of Econometrics, Elsevier, vol. 168(2), pages 223-243.
- Jay Bhattacharya & Azeem Shaikh & Edward Vytlacil, 2005. "Treatment Effect Bounds: An Application to Swan-Ganz Catheterization," NBER Working Papers 11263, National Bureau of Economic Research, Inc.
- Manski, Charles F, 1990.
"Nonparametric Bounds on Treatment Effects,"
American Economic Review, American Economic Association, vol. 80(2), pages 319-323, May.
- Manski, C.F., 1989. "Nonparametric Bounds On Treatment Effects," Working papers 8909, Wisconsin Madison - Social Systems.
- J. P. Florens & J. J. Heckman & C. Meghir & E. Vytlacil, 2008.
"Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects,"
Econometrica, Econometric Society, vol. 76(5), pages 1191-1206, September.
- Jean-Pierre Florens & James J. Heckman & Costas Meghir & Edward J. Vytlacil, 2008. "Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects," NBER Working Papers 14002, National Bureau of Economic Research, Inc.
- J.P. Florensy & J. J. Heckmanz & C. Meghirx & E. Vytlacil, 2008. "Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects," Working Papers 200832, Geary Institute, University College Dublin.
- Guido W. Imbens & Whitney K. Newey, 2009.
"Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity,"
Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
- Guido W. Imbens & Whitney K. Newey, 2002. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," NBER Technical Working Papers 0285, National Bureau of Economic Research, Inc.
- Whitney Newey & Guido Imbens, 2004. "Identification and Estimation of Triangular Simultaneous Equations Models without Additivity," Econometric Society 2004 North American Summer Meetings 594, Econometric Society.
- Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2005.
"The More the Merrier? The Effect of Family Size and Birth Order on Children's Education,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 669-700.
- Paul J. Devereux & Sandra E. Black & Kjell G. Salvanes, 2005. "The more the merrier? The effect of family size and birth order on children's education," Open Access publications 10197/310, School of Economics, University College Dublin.
- S Black & Paul Devereux & Kjell Salvanes, 2005. "The More the Merrier? The Effect of Family Size and Birth Order on Childrens Education," CEE Discussion Papers 0050, Centre for the Economics of Education, LSE.
- Azeem M. Shaikh & Edward J. Vytlacil, 2011. "Partial Identification in Triangular Systems of Equations With Binary Dependent Variables," Econometrica, Econometric Society, vol. 79(3), pages 949-955, May.
- Bierens, Herman J, 1990.
"A Consistent Conditional Moment Test of Functional Form,"
Econometrica, Econometric Society, vol. 58(6), pages 1443-1458, November.
- Bierens, H.J., 1989. "A consistent conditional moment test of functional form," Serie Research Memoranda 0064, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- James Heckman & Justin L. Tobias & Edward Vytlacil, 2003.
"Simple Estimators for Treatment Parameters in a Latent-Variable Framework,"
The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 748-755, August.
- Heckman, J J & Tobias, Justin & Vytlacil, Ed, 2003. "Simple Estimators for Treatment Parameters in a Latent Variable Framework," Staff General Research Papers Archive 12012, Iowa State University, Department of Economics.
- 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.
- Toru Kitagawa, 2009. "Identification region of the potential outcome distributions under instrument independence," CeMMAP working papers CWP30/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Chesher, 2003. "Identification in Nonseparable Models," Econometrica, Econometric Society, vol. 71(5), pages 1405-1441, September.
- Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2017. "Using Instrumental Variables for Inference about Policy Relevant Treatment Effects," NBER Working Papers 23568, National Bureau of Economic Research, Inc.
- Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments for the Young and Privately Insured"," Cowles Foundation Discussion Papers 2045, Cowles Foundation for Research in Economics, Yale University.
- Robert Moffitt, 2008. "Estimating Marginal Treatment Effects in Heterogeneous Populations," Annals of Economics and Statistics, GENES, issue 91-92, pages 239-261.
- Guido W. Imbens & Donald B. Rubin, 1997. "Estimating Outcome Distributions for Compliers in Instrumental Variables Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 555-574.
- Edward Miguel & Shanker Satyanath & Ernest Sergenti, 2004. "Economic Shocks and Civil Conflict: An Instrumental Variables Approach," Journal of Political Economy, University of Chicago Press, vol. 112(4), pages 725-753, August.
- Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January.
- Alexander Torgovitsky, 2015. "Identification of Nonseparable Models Using Instruments With Small Support," Econometrica, Econometric Society, vol. 83(3), pages 1185-1197, May.
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.- Sokbae Lee & Bernard Salanié, 2018.
"Identifying Effects of Multivalued Treatments,"
Econometrica, Econometric Society, vol. 86(6), pages 1939-1963, November.
- Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers 72/15, Institute for Fiscal Studies.
- Salanié, Bernard, 2015. "Identifying Effects of Multivalued Treatments," CEPR Discussion Papers 10970, C.E.P.R. Discussion Papers.
- Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers CWP72/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae (Simon) Lee & Bernard Salanie, 2018. "Identifying effects of multivalued treatments," CeMMAP working papers CWP34/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae Lee & Bernard Salani'e, 2018. "Identifying Effects of Multivalued Treatments," Papers 1805.00057, arXiv.org.
- 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.
- Pereda-Fernández, Santiago, 2023.
"Identification and estimation of triangular models with a binary treatment,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
- Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020.
"Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects,"
Papers
2009.02642, arXiv.org, revised Sep 2022.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 34/20, Monash University, Department of Econometrics and Business Statistics.
- Domenico Depalo, 2020.
"Explaining the causal effect of adherence to medication on cholesterol through the marginal patient,"
Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 110-126, October.
- Depalo, D.;, 2019. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health, Econometrics and Data Group (HEDG) Working Papers 19/13, HEDG, c/o Department of Economics, University of York.
- Hsu, Yu-Chin & Huang, Ta-Cheng & Xu, Haiqing, 2023.
"Testing For Unobserved Heterogeneous Treatment Effects With Observational Data,"
Econometric Theory, Cambridge University Press, vol. 39(3), pages 582-622, June.
- Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
- Marx, Philip, 2024. "Sharp bounds in the latent index selection model," Journal of Econometrics, Elsevier, vol. 238(2).
- 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.
- Robert A. Moffitt & Matthew V. Zahn, 2019.
"The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation,"
NBER Working Papers
26028, National Bureau of Economic Research, Inc.
- Robert A. Moffitt & Matthew V. Zahn, 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Papers 2202.03413, arXiv.org.
- Moffitt, Robert A. & Zahn, Matthew V., 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," IZA Discussion Papers 15046, Institute of Labor Economics (IZA).
- Moffitt, Robert A. & Zahn, Matthew V., 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Economics Working Paper Archive 66674, The Johns Hopkins University,Department of Economics.
- Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).
- Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022.
"Simple Tests for Selection: Learning More from Instrumental Variables,"
Labour Economics, Elsevier, vol. 79(C).
- Dan A. Black & Joonhwi Joo & Robert LaLonde & Jeffrey Andrew Smith & Evan J. Taylor, 2017. "Simple Tests for Selection: Learning More from Instrumental Variables," CESifo Working Paper Series 6392, CESifo.
- Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
- Dan A. Black & Joonhwi Joo & Robert LaLonde & Jeffrey A. Smith & Evan J. Taylor, 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," NBER Working Papers 30291, National Bureau of Economic Research, Inc.
- Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
- Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
- Peter Hull & Michal Kolesár & Christopher Walters, 2022.
"Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
- Peter Hull & Michal Koles'ar & Christopher Walters, 2022. "Labour by Design: Contributions of David Card, Joshua Angrist, and Guido Imbens," Papers 2203.16405, arXiv.org.
- Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011.
"Estimating Marginal Returns to Education,"
American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
- Carneiro, Pedro & Heckman, James J. & Vytlacil, Edward, 2010. "Estimating Marginal Returns to Education," IZA Discussion Papers 5275, Institute of Labor Economics (IZA).
- Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2010. "Estimating Marginal Returns to Education," NBER Working Papers 16474, National Bureau of Economic Research, Inc.
- Pedro Carneiro & James Heckman & Edward Vytlacil, 2010. "Estimating marginal returns to education," CeMMAP working papers CWP29/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sung Jae Jun & Sokbae Lee, 2023.
"Identifying the Effect of Persuasion,"
Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2032-2058.
- Sung Jae Jun & Sokbae (Simon) Lee, 2018. "Identifying the effect of persuasion," CeMMAP working papers CWP19/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sung Jae Jun & Sokbae (Simon) Lee, 2019. "Identifying the effect of persuasion," CeMMAP working papers CWP69/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sung Jae Jun & Sokbae (Simon) Lee, 2022. "Identifying the effect of persuasion," CeMMAP working papers 24/22, Institute for Fiscal Studies.
- Sung Jae Jun & Sokbae Lee, 2018. "Identifying the Effect of Persuasion," Papers 1812.02276, arXiv.org, revised Nov 2022.
- Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
- Gautier, Eric & Hoderlein, Stefan, 2011.
"A triangular treatment effect model with random coefficients in the selection equation,"
TSE Working Papers
15-598, Toulouse School of Economics (TSE), revised 25 Aug 2015.
- Eric Gautier & Stefan Hoderlein, 2012. "A Triangular Treatment Effect Model With Random Coefficients In The Selection Equation," Boston College Working Papers in Economics 838, Boston College Department of Economics, revised 15 Sep 2015.
- Eric Gautier & Stefan Hoderlein, 2012. "A triangular treatment effect model with random coefficients in the selection equation," CeMMAP working papers CWP39/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Eric Gautier & Stefan Hoderlein, 2012. "A triangular treatment effect model with random coefficients in the selection equation," CeMMAP working papers 39/12, Institute for Fiscal Studies.
- Carneiro, Pedro & Lee, Sokbae, 2009.
"Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality,"
Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
- Pedro Carneiro & Sokbae (Simon) Lee, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," CeMMAP working papers CWP01/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Corrections
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:wly:emetrp:v:86:y:2018:i:5:p:1589-1619. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.