Supercompliers
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Matthew L. Comey & Amanda R. Eng & Pauline Leung & Zhuan Pei, 2022. "Supercompliers," Papers 2212.14105, arXiv.org, revised Dec 2024.
References listed on IDEAS
- Miriam Bruhn & David McKenzie, 2009.
"In Pursuit of Balance: Randomization in Practice in Development Field Experiments,"
American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 200-232, October.
- Bruhn, Miriam & McKenzie, David, 2008. "In pursuit of balance : randomization in practice in development field experiments," Policy Research Working Paper Series 4752, The World Bank.
- Xuan Chen & Carlos A. Flores, 2015. "Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 523-540, October.
- Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021.
"Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence,"
The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, Institute of Labor Economics (IZA).
- Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
- Knaus, Michael C. & Lechner, Michael & anthony.strittmatter@unisg.ch, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Economics Working Paper Series 1817, University of St. Gallen, School of Economics and Political Science.
- Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Papers 1810.13237, arXiv.org, revised Dec 2018.
- 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.
- Lex Borghans & Anne C. Gielen & Erzo F. P. Luttmer, 2014.
"Social Support Substitution and the Earnings Rebound: Evidence from a Regression Discontinuity in Disability Insurance Reform,"
American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 34-70, November.
- Borghans, Lex & Gielen, Anne C. & Luttmer, Erzo F.P., 2010. "Social Support Substitution and the Earnings Rebound: Evidence from a Regression Discontinuity in Disability Insurance Reform," IZA Discussion Papers 5412, Institute of Labor Economics (IZA).
- Lex Borghans & Anne C. Gielen & Erzo F.P. Luttmer, 2012. "Social Support Substitution and the Earnings Rebound: Evidence from a Regression Discontinuity in Disability Insurance Reform," NBER Working Papers 18261, National Bureau of Economic Research, Inc.
- Will Dobbie & Jacob Goldin & Crystal S. Yang, 2018.
"The Effects of Pretrial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges,"
American Economic Review, American Economic Association, vol. 108(2), pages 201-240, February.
- Will Dobbie & Jacob Goldin & Crystal Yang, 2016. "The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges," NBER Working Papers 22511, National Bureau of Economic Research, Inc.
- Will Dobbie & Jacob Goldin & Crystal Yang, 2016. "The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges," Working Papers id:11212, eSocialSciences.
- Will Dobbie & Jacob Goldin & Crystal Yang, 2016. "The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges," Working Papers 601, Princeton University, Department of Economics, Industrial Relations Section..
- Amanda E. Kowalski, 2019.
"A Model of a Randomized Experiment with an Application to the PROWESS Clinical Trial,"
NBER Working Papers
25670, National Bureau of Economic Research, Inc.
- Amanda Kowalski, 2019. "A model of a randomized experiment with an application to the PROWESS clinical trial," CeMMAP working papers CWP11/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Amanda Kowalski, 2019. "A Model of a Randomized Experiment with an Application to the PROWESS Clinical Trial," Papers 1908.05810, arXiv.org, revised Jul 2020.
- Marbach, Moritz & Hangartner, Dominik, 2020. "Profiling Compliers and Noncompliers for Instrumental-Variable Analysis," Political Analysis, Cambridge University Press, vol. 28(3), pages 435-444, July.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
- Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
- 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.
- Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2017.
"Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment,"
The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 683-697, July.
- Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2014. "Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment," NBER Working Papers 20142, National Bureau of Economic Research, Inc.
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.- 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.
- 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 M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- 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.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Manuel Arellano & Stéphane Bonhomme, 2017.
"Quantile Selection Models With an Application to Understanding Changes in Wage Inequality,"
Econometrica, Econometric Society, vol. 85, pages 1-28, January.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Quantile selection models: with an application to understanding changes in wage inequality," CeMMAP working papers 75/15, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2016. "Quantile Selection Models with an Application to Understanding Changes in Wage Inequality," Working Papers wp2016_1610, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Quantile selection models: with an application to understanding changes in wage inequality," CeMMAP working papers CWP75/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- Clément de Chaisemartin, 2017.
"Tolerating defiance? Local average treatment effects without monotonicity,"
Quantitative Economics, Econometric Society, vol. 8(2), pages 367-396, July.
- Clément de Chaisemartin, 2012. "Late again, whithout Monotonicity," Working Papers 2012-12, Center for Research in Economics and Statistics.
- de Chaisemartin, Clement, 2013. "Defying the LATE? Identication of local treatment eects when the instrument violates monotonicity," Economic Research Papers 270439, University of Warwick - Department of Economics.
- Clément de Chaisemartin & Xavier d'Haultfoeuille, 2012. "Late Again with Defiers," PSE Working Papers halshs-00699646, HAL.
- de Chaisemartin, Clement, 2013. "Defying the LATE? Identification of local treatment effects when the instrument violates monotonicity," The Warwick Economics Research Paper Series (TWERPS) 1020, University of Warwick, Department of Economics.
- Clément de Chaisemartin & Xavier d'Haultfoeuille, 2012. "Late Again with Defiers," Working Papers halshs-00699646, HAL.
- 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.
- Andreas Haller & Stefan Staubli & Josef Zweimüller, 2024.
"Designing Disability Insurance Reforms: Tightening Eligibility Rules or Reducing Benefits?,"
Econometrica, Econometric Society, vol. 92(1), pages 79-110, January.
- Staubli, Stefan & Haller, Andreas & Zweimüller, Josef, 2020. "Designing Disability Insurance Reforms: Tightening Eligibility Rules or Reducing Benefits?," CEPR Discussion Papers 15121, C.E.P.R. Discussion Papers.
- Andreas Haller & Stefan Staubli & Josef Zweimüller, 2020. "Designing Disability Insurance Reforms: Tightening Eligibility Rules or Reducing Benefits," NBER Working Papers 27602, National Bureau of Economic Research, Inc.
- Haller, Andreas & Staubli, Stefan & Zweimüller, Josef, 2020. "Designing Disability Insurance Reforms: Tightening Eligibility Rules or Reducing Benefits?," IZA Discussion Papers 13539, Institute of Labor Economics (IZA).
- Andreas Haller, Stefan Staubli, Josef Zweimüller, 2020. "Designing Disability Insurance Reforms: Tightening Eligibility Rules or Reducing Benefits?," Cahiers de recherche / Working Papers 5, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
- Buhl-Wiggers, Julie & Kerwin, Jason T. & Muñoz-Morales, Juan & Smith, Jeffrey & Thornton, Rebecca, 2024.
"Some children left behind: Variation in the effects of an educational intervention,"
Journal of Econometrics, Elsevier, vol. 243(1).
- Buhl-Wiggers, Julie & Kerwin, Jason & Muñoz-Morales, Juan S. & Smith, Jeffrey A. & Thornton, Rebecca L., 2020. "Some Children Left Behind: Variation in the Effects of an Educational Intervention," IZA Discussion Papers 13598, Institute of Labor Economics (IZA).
- Julie Buhl-Wiggers & Jason Kerwin & Juan Muñoz-Morales & Jeffrey Smith & Rebecca Thornton, 2022. "Some children left behind: Variation in the effects of an educational intervention," Post-Print hal-03972201, HAL.
- Julie Buhl-Wiggers & Jason T. Kerwin & Juan S. Muñoz-Morales & Jeffrey A. Smith & Rebecca Thornton, 2021. "Some Children Left Behind: Variation in the Effects of an Educational Intervention," NBER Working Papers 29459, National Bureau of Economic Research, Inc.
- Imbens, Guido W., 2014.
"Instrumental Variables: An Econometrician's Perspective,"
IZA Discussion Papers
8048, Institute of Labor Economics (IZA).
- Guido Imbens, 2014. "Instrumental Variables: An Econometrician's Perspective," NBER Working Papers 19983, National Bureau of Economic Research, Inc.
- Matti Sarvimäki & Kari Hämäläinen, 2016. "Integrating Immigrants: The Impact of Restructuring Active Labor Market Programs," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 479-508.
- Cattaneo, Matias D. & Jansson, Michael & Ma, Xinwei, 2024.
"Local regression distribution estimators,"
Journal of Econometrics, Elsevier, vol. 240(2).
- Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Local Regression Distribution Estimators," Papers 2009.14367, arXiv.org, revised Jan 2021.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," University of California at San Diego, Economics Working Paper Series qt7416d3x8, Department of Economics, UC San Diego.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," Department of Economics, Working Paper Series qt7416d3x8, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Huber, Martin, 2019.
"An introduction to flexible methods for policy evaluation,"
FSES Working Papers
504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
- Mahoukede, Kinkingninhoun-Medagbe & Aliou, Diagne & Rita A., Agboh-Noameshie, 2015. "Impact of NERICA Adoption on Productivity and Income in Benin: Is There Gender Difference?," 2015 Conference, August 9-14, 2015, Milan, Italy 211634, International Association of Agricultural Economists.
- Gordon B. Dahl & Andreas Ravndal Kostøl & Magne Mogstad, 2014.
"Family Welfare Cultures,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1711-1752.
- Gordon B. Dahl & Andreas Ravndal Kostol & Magne Mogstad, 2013. "Family Welfare Cultures," NBER Working Papers 19237, National Bureau of Economic Research, Inc.
- Gordon B. Dahl & Andreas Ravndal Kostøl & Magne Mogstad, 2014. "Family welfare cultures," Discussion Papers 782, Statistics Norway, Research Department.
- Gordon B. Dahl & Magne Mogstad & Andreas Ravndal Kostol, 2014. "Family Welfare Cultures," STICERD - Public Economics Programme Discussion Papers 23, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Dahl, Gordon B. & Kostøl, Andreas Ravndal & Mogstad, Magne, 2014. "Family Welfare Cultures," IZA Discussion Papers 8265, Institute of Labor Economics (IZA).
- Joshua D. Angrist, 2022.
"Empirical Strategies in Economics: Illuminating the Path From Cause to Effect,"
Econometrica, Econometric Society, vol. 90(6), pages 2509-2539, November.
- Angrist, Joshua, 2021. "Empirical strategies in economics: Illuminating the path from cause to effect," Nobel Prize in Economics documents 2021-4, Nobel Prize Committee.
- Joshua Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path from Cause to Effect," NBER Working Papers 29726, National Bureau of Economic Research, Inc.
- 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.
- Kaspar Wüthrich, 2020.
"A Comparison of Two Quantile Models With Endogeneity,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 443-456, April.
- Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
- Wüthrich, Kaspar, 2020. "A Comparison of Two Quantile Models With Endogeneity," University of California at San Diego, Economics Working Paper Series qt0q43931f, Department of Economics, UC San Diego.
- Kinkingninhoun-Medagbe, Florent M. & Diagne, Aliou & Agboh-Noameshie, Afiavi R. & Lokossou, J. C., 2013. "Who Benefits More From Nerica Varieties? Gender Differential Impact on Yield and Income in Benin," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161290, African Association of Agricultural Economists (AAAE).
- Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
- Kadir Atalay & Garry Barrett, 2022. "Retirement routes and the well-being of retirees," Empirical Economics, Springer, vol. 63(5), pages 2751-2784, November.
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:boc:econ24:06. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.