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The relationship between treatment parameters within a latent variable framework

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  1. Pedro Carneiro & Michael Lokshin & Nithin Umapathi, 2017. "Average and Marginal Returns to Upper Secondary Schooling in Indonesia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 16-36, January.
  2. 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.
  3. 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.
  4. Abbring, Jaap H., 2003. "Dynamic Econometric Program Evaluation," IZA Discussion Papers 804, IZA Network @ LISER.
  5. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
  6. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
  7. Dionissi Aliprantis, 2012. "Redshirting, Compulsory Schooling Laws, and Educational Attainment," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 316-338, April.
  8. Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.
  9. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
  10. Bhat, Chandra R., 2024. "Transformation-based flexible error structures for choice modeling," Journal of choice modelling, Elsevier, vol. 53(C).
  11. Chen, Heng & Fan, Yanqin & Wu, Jisong, 2014. "A flexible parametric approach for estimating switching regime models and treatment effect parameters," Journal of Econometrics, Elsevier, vol. 181(2), pages 77-91.
  12. Melayne Morgan McInnes & Orgul Demet Ozturk & Suzanne McDermott & Joshua Mann, 2016. "Improved Targeting of Social Programs: An Application to a State Job Coaching Program for Adults with Intellectual Disabilities," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 42(2), pages 252-269, March.
  13. Abdulbaki Bilgic & Wojciech Florkowski, 2009. "The impact of license regulation on the number of recreation trips: is it worth considering?," Journal of Regulatory Economics, Springer, vol. 35(1), pages 45-69, February.
  14. 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.
  15. Stephen L. Morgan & David J. Harding, 2006. "Matching Estimators of Causal Effects," Sociological Methods & Research, , vol. 35(1), pages 3-60, August.
  16. Smith, Bonny V. & Robbennolt, Dale & Bhat, Chandra R., 2025. "An evaluation of the long-term effects of the COVID-19 pandemic on public transit use in the United States," Transport Policy, Elsevier, vol. 169(C), pages 90-100.
  17. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225.
  18. Das, M., 2003. "Identification and sequential estimation of panel data models with insufficient exclusion restrictions," Journal of Econometrics, Elsevier, vol. 114(2), pages 297-328, June.
  19. Silke Hüttel & Simon Jetzinger & Martin Odening, 2014. "Forced Sales and Farmland Prices," Land Economics, University of Wisconsin Press, vol. 90(3), pages 395-410.
  20. Lavieri, Patrícia S. & Dai, Qichun & Bhat, Chandra R., 2018. "Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 527-544.
  21. Dionissi Aliprantis, 2017. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Empirical Economics, Springer, vol. 52(3), pages 925-954, May.
  22. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
  23. Kuckulenz Anja & Maier Michael, 2006. "Heterogeneous Returns to Training: An Analysis with German Data Using Local Instrumental Variables," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(1), pages 24-40, February.
  24. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
  25. Aakvik, Arild & Holmas, Tor Helge & Kjerstad, Egil, 2003. "A low-key social insurance reform--effects of multidisciplinary outpatient treatment for back pain patients in Norway," Journal of Health Economics, Elsevier, vol. 22(5), pages 747-762, September.
  26. Fernando Barceinas, 2003. "Endogeneidad y rendimientos de la educación," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 18(1), pages 79-131.
  27. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
  28. Klein, Tobias J., 2010. "Heterogeneous treatment effects: Instrumental variables without monotonicity?," Journal of Econometrics, Elsevier, vol. 155(2), pages 99-116, April.
  29. Brian Krogh Graversen & Peter Jensen, 2010. "A Reappraisal of the Virtues of Private Sector Employment Programmes," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(3), pages 546-569, September.
  30. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
  31. 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.
  32. Paxton, Julia & Thraen, Cameron, 2003. "An application of Mean-Covariance Structure Models for the analysis of group lending behavior," Journal of Policy Modeling, Elsevier, vol. 25(9), pages 863-868, December.
  33. Das, M., 2005. "Instrumental variables estimators of nonparametric models with discrete endogenous regressors," Journal of Econometrics, Elsevier, vol. 124(2), pages 335-361, February.
  34. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: An application in breast cancer patients," Health, Econometrics and Data Group (HEDG) Working Papers 07/07, HEDG, c/o Department of Economics, University of York.
  35. Hui Wang & Shu Xu, 2022. "Heterogeneity Effect of Corporate Financialization on Total Factor Productivity," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
  36. 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.
  37. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2008. "Instrumental Variables in Models with Multiple Outcomes: The General Unordered Case," Annals of Economics and Statistics, GENES, issue 91-92, pages 151-174.
  38. Ismail, Ramlee, 2007. "The Impact of Schooling Reform on Returns to Education in Malaysia," MPRA Paper 15021, University Library of Munich, Germany, revised 29 Jan 2008.
  39. Carolyn Heinrich & Jeffrey Wenger, 2002. "The Economic Contributions of James J. Heckman and Daniel L. McFadden," Review of Political Economy, Taylor & Francis Journals, vol. 14(1), pages 69-89.
  40. Daniel Polsky & Anirban Basu, 2012. "Selection Bias in Observational Data," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 46, Edward Elgar Publishing.
  41. Anirban Basu & James J. Heckman & Salvador Navarro‐Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self‐selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157, November.
  42. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
  43. 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.
  44. Yang, Juan & Qiu, Muyuan, 2016. "The impact of education on income inequality and intergenerational mobility," China Economic Review, Elsevier, vol. 37(C), pages 110-125.
  45. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
  46. Justin Tobias, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 1-40.
  47. Tobias Klein, 2013. "College education and wages in the U.K.: estimating conditional average structural functions in nonadditive models with binary endogenous variables," Empirical Economics, Springer, vol. 44(1), pages 135-161, February.
  48. Jiachun Xie & Xingxu Li & Songsak Sriboonchitta & Shihti Yu, 2013. "Policy evaluation of rural labor force training program: Evidence from autonomous minority nationality areas in Southwestern frontier region of China," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(3), pages 27-36, September.
  49. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
  50. Antonio Prencipe & Luciano D'Amico & Danilo Boffa & Christian Corsi, 2024. "The effect of output additionality of public funding support on firm innovation. Evidence from firms of different sizes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2278-2299, April.
  51. Poeschel, Friedrich, 2014. "Assignment vs. choice: lessons from training vouchers," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100606, Verein für Socialpolitik / German Economic Association.
  52. Erin E. Smith, 2019. "Are Antitakeover Amendments Good for Shareholders? Evidence from the Adoption of Antitakeover Provisions in the Post-SOX Era," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 1-40, December.
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