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Citations for "Independence, Monotonicity, and Latent Index Models: An Equivalence Result"

by Edward Vytlacil

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  1. James Heckman & Daniel Schmierer & Sergio Urzua, 2010. "Testing the correlated random coefficient model," CeMMAP working papers CWP10/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  2. Dionissi Aliprantis, 2011. "Assessing the evidence on neighborhood effects from moving to opportunity," Working Paper 1101, Federal Reserve Bank of Cleveland.
  3. 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 for the Study of Labor (IZA).
  4. Aakvik, Arild & Salvanes, Kjell G & Vaage, Kjell, 2003. "Measuring Heterogeneity in the Returns to Education in Norway Using Educational Reforms," CEPR Discussion Papers 4088, C.E.P.R. Discussion Papers.
  5. Gema Zamarro, 2006. "Accounting For Heterogeneous Returns In Sequential Schooling Decisions," Working Papers wp2006_0609, CEMFI.
  6. 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.
  7. Chabé-Ferret, Sylvain, 2015. "Analysis of the bias of Matching and Difference-in-Difference under alternative earnings and selection processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 110-123.
  8. Eisenhauer, Philipp & Heckman, James J. & Vytlacil, Edward, 2014. "The generalized Roy model and the cost-benefit analysis of social programs," ZEW Discussion Papers 14-082, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  9. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
  10. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2008. "Instrumental Variables In Models With Multiple Outcomes: The General Unordered Case," Working Papers 200830, Geary Institute, University College Dublin.
  11. Heckman, James J. & Schmierer, Daniel, 2010. "Tests of Hypotheses Arising in the Correlated Random Coefficient Model," IZA Discussion Papers 5205, Institute for the Study of Labor (IZA).
  12. Christina Felfe & Rafael Lalive, 2013. "Early Child Care and Child Development: For Whom It Works and Why," SOEPpapers on Multidisciplinary Panel Data Research 536, DIW Berlin, The German Socio-Economic Panel (SOEP).
  13. Belzil, Christian & Hansen, Jörgen, 2012. "Characterizing the Instrumental Variable Identifying Assumption as Sample Selection Conditions," IZA Discussion Papers 6339, Institute for the Study of Labor (IZA).
  14. James J. Heckman, 2010. "Building Bridges Between Structural and Program Evaluation Approaches to Evaluating Policy," NBER Working Papers 16110, National Bureau of Economic Research, Inc.
  15. Datta Gupta, Nabanita & Simonsen, Marianne, 2007. "Non-Cognitive Child Outcomes and Universal High Quality Child Care," IZA Discussion Papers 3188, Institute for the Study of Labor (IZA).
  16. Christian Belzil & Jörgen Hansen, 2004. "A Structural Analysis of the Correlated Random Coefficient Wage Regression Model," Working Papers 0405, Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure.
  17. Le-Yu Chen, 2009. "Identification of structural dynamic discrete choice models," CeMMAP working papers CWP08/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  18. Marc Henry & Ismael Mourifi�, 2012. "Sharp Bounds in the Binary Roy Model," CIRJE F-Series CIRJE-F-835, CIRJE, Faculty of Economics, University of Tokyo.
  19. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
  20. Tobias J. Klein, 2006. "College Education and Wages in the U.K.: Estimating Conditional Average Structural Functions in Nonadditive Models with Binary Endogenous Variables," JEPS Working Papers 06-001, JEPS.
  21. Christian Belzil & Jörgen Hansen & Xingfei Liu, 2012. "Dynamic Skill Accumulation,Comparative Advantages,Compulsory Schooling and Earnings," Working Papers 2012-01, Centre de Recherche en Economie et Statistique.
  22. Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
  23. Alexandre Belloni & Victor Chernozhukov & Iván Fernández-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers CWP57/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  24. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2010. "Estimating Marginal Returns to Education," NBER Working Papers 16474, National Bureau of Economic Research, Inc.
  25. 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.
  26. Alan Manning, 2004. "Instrumental Variables for Binary Treatments with Heterogeneous Treatment Effects: A Simple Exposition," CEP Discussion Papers dp0619, Centre for Economic Performance, LSE.
  27. Christian N. Brinch & Magne Mogstad & Matthew Wiswall, 2012. "Beyond LATE with a discrete instrument. Heterogeneity in the quantity-quality interaction of children," Discussion Papers 703, Research Department of Statistics Norway.
  28. Patrinos, Harry Anthony & Sakellariou, Chris, 2004. "Schooling and labor market impacts of a natural policy experiment," Policy Research Working Paper Series 3460, The World Bank.
  29. Michael Lechner & Ruth Miquel, 2005. "Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions," University of St. Gallen Department of Economics working paper series 2005 2005-17, Department of Economics, University of St. Gallen.
  30. Andrew Chesher, 2002. "Instrumental Values," CeMMAP working papers CWP17/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  31. repec:hal:wpaper:halshs-00699646 is not listed on IDEAS
  32. James J. Heckman & Edward J. Vytlacil, 2000. "Instrumental Variables, Selection Models, and Tight Bounds on the Average Treatment Effect," NBER Technical Working Papers 0259, National Bureau of Economic Research, Inc.
  33. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
  34. Lewbel, Arthur, 2007. "Endogenous selection or treatment model estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 777-806, December.
  35. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
  36. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
  37. 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.
  38. Florens, Jean-Pierre & Heckman, James & Meghir, Costas & Vytlacil, Edward, 2003. "Instrumental Variables, Local Instrumental Variables and Control Functions," IDEI Working Papers 249, Institut d'Économie Industrielle (IDEI), Toulouse.
  39. David S. Lee, 2002. "Trimming for Bounds on Treatment Effects with Missing Outcomes," NBER Technical Working Papers 0277, National Bureau of Economic Research, Inc.
  40. James J. Heckman & Edward J. Vytlacil, 2000. "Local Instrumental Variables," NBER Technical Working Papers 0252, National Bureau of Economic Research, Inc.
  41. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.
  42. Klein, Tobias J., 2007. "Heterogeneous Treatment Effects: Instrumental Variables without Monotonicity?," IZA Discussion Papers 2738, Institute for the Study of Labor (IZA).
  43. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Upjohn Working Papers and Journal Articles 15-218, W.E. Upjohn Institute for Employment Research.
  44. Timothy Simcoe, 2012. "Standard Setting Committees: Consensus Governance for Shared Technology Platforms," American Economic Review, American Economic Association, vol. 102(1), pages 305-36, February.
  45. James J. Heckman & Rodrigo Pinto, 2013. "Causal Analysis after Haavelmo," Working Papers 2013-008, Human Capital and Economic Opportunity Working Group.
  46. David S. Lee, 2005. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," NBER Working Papers 11721, National Bureau of Economic Research, Inc.
  47. Carneiro, Pedro & Heckman, James J., 2002. "The Evidence on Credit Constraints in Post-Secondary Schooling," IZA Discussion Papers 518, Institute for the Study of Labor (IZA).
  48. Mealli, Fabrizia & Pacini, Barbara, 2008. "Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 507-516, December.
  49. Belzil, Christian & Hansen, Jörgen, 2012. "The Timing of Earnings Sampling over the Life-Cycle and IV Identification of the Return to Schooling," IZA Discussion Papers 6724, Institute for the Study of Labor (IZA).
  50. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.
  51. Stefan Boes, 2013. "Nonparametric analysis of treatment effects in ordered response models," Empirical Economics, Springer, vol. 44(1), pages 81-109, February.
  52. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
  53. Edward Vytlacil & James J. Heckman, 2001. "Policy-Relevant Treatment Effects," American Economic Review, American Economic Association, vol. 91(2), pages 107-111, May.
  54. Machado, Cecilia, 2012. "Selection, Heterogeneity and the Gender Wage Gap," IZA Discussion Papers 7005, Institute for the Study of Labor (IZA).
  55. 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.
  56. Clément De Chaisemartin & Xavier D'Haultfoeuille, 2012. "Late Again with Defiers," PSE Working Papers halshs-00699646, HAL.
  57. Arild Aakvik & James J. Heckman & Edward J. Vytlacil, 2000. "Treatment Effects for Discrete Outcomes when Responses to Treatment Vary Among Observationally Identical Persons: An Application to Norwegian ..," NBER Technical Working Papers 0262, National Bureau of Economic Research, Inc.
  58. Christian Durán, 2004. "Evaluación microeconométrica de las políticas públicas de empleo: aspectos metodológicos," Hacienda Pública Española, IEF, vol. 170(3), pages 107-133, september.
  59. Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
  60. Hahn, Jinyong, 2010. "Bounds on ATE with discrete outcomes," Economics Letters, Elsevier, vol. 109(1), pages 24-27, October.
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