Asymptotic efficiency in semi-parametric models with censoring

Citations

Cited by:

1. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
2. Lee, Lung-fei, 1995. "Semiparametric maximum likelihood estimation of polychotomous and sequential choice models," Journal of Econometrics, Elsevier, vol. 65(2), pages 381-428, February.
3. Chen, Songnian, 1997. "Semiparametric estimation of the Type-3 Tobit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 1-34, September.
4. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
   • Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2001. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," NBER Working Papers 8343, National Bureau of Economic Research, Inc.
   • Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for private schooling in colombia: Evidence from a randomized natural experiment," Natural Field Experiments 00203, The Field Experiments Website.
5. Xiaohong Chen & Andres Santos, 2018. "Overidentification in Regular Models," Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
   • Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
   • Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
6. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Other publications TiSEM d63bf400-7ff2-4a1c-8067-1, Tilburg University, School of Economics and Management.
7. Angrist, Joshua D., 1997. "Conditional independence in sample selection models," Economics Letters, Elsevier, vol. 54(2), pages 103-112, February.
   • Angrist, J.D., 1996. "Conditional Independance in Sample Selection Models," Working papers 96-27, Massachusetts Institute of Technology (MIT), Department of Economics.
8. D’Haultfoeuille, Xavier & Maurel, Arnaud, 2013. "Another Look At The Identification At Infinity Of Sample Selection Models," Econometric Theory, Cambridge University Press, vol. 29(1), pages 213-224, February.
   • D'Haultfoeuille, Xavier & Maurel, Arnaud, 2009. "Another Look at the Identification at Infinity of Sample Selection Models," IZA Discussion Papers 4334, Institute of Labor Economics (IZA).
   • Arnaud Maurel & Xavier D'Haultfoeuille, 2011. "Another Look at the Identification at Infinity of Sample Selection Models," Working Papers 11-11, Duke University, Department of Economics.
   • Xavier d'Haultfoeuille & Arnaud Maurel, 2010. "Another Look at the Identification at Infinity of Sample Section Models," Working Papers 2010-10, Center for Research in Economics and Statistics.
9. Lanot, Gauthier & Walker, Ian, 1998. "The union/non-union wage differential: An application of semi-parametric methods," Journal of Econometrics, Elsevier, vol. 84(2), pages 327-349, June.
   • Lanot, G. & Walker, I., 1993. "The Union/Non-Union Wage Differential: an Application of Semi-Parametric Methods," Papers 9337, Laval - Recherche en Politique Economique.
   • Gauthier Lanot & Ian Walker, 1996. "The Union/Non-Union Wage Differential: An Application of Semi-Parametric Methods," Keele Department of Economics Discussion Papers (1995-2001) 96/9, Department of Economics, Keele University.
10. Chen, Songnian, 2000. "Efficient estimation of binary choice models under symmetry," Journal of Econometrics, Elsevier, vol. 96(1), pages 183-199, May.
11. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    • Oliver LINTON, "undated". "Applied nonparametric methods," Statistic und Oekonometrie 9312, Humboldt Universitaet Berlin.
    • Wolfgang Hardle & Oliver Linton, 1994. "Applied Nonparametric Methods," Cowles Foundation Discussion Papers 1069, Cowles Foundation for Research in Economics, Yale University.
12. Francine D. Blau & Lawrence M. Kahn & Nikolai Boboshko & Matthew Comey, 2024. "The Impact of Selection into the Labor Force on the Gender Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 42(4), pages 1093-1133.
    • Francine D. Blau & Lawrence Kahn & Nikolai Boboshko & Matthew Comey, 2021. "Th Impact of Selection into the Labor Force on the Gender Wage Gap," CESifo Working Paper Series 9103, CESifo.
    • Francine D. Blau & Lawrence M. Kahn & Nikolai Boboshko & Matthew Comey, 2021. "The Impact of Selection into the Labor Force on the Gender Wage Gap," Discussion Papers of DIW Berlin 1946, DIW Berlin, German Institute for Economic Research.
    • Francine D. Blau & Lawrence M. Kahn & Nikolai Boboshko & Matthew L. Comey, 2021. "The Impact of Selection into the Labor Force on the Gender Wage Gap," NBER Working Papers 28855, National Bureau of Economic Research, Inc.
    • Blau, Francine D. & Kahn, Lawrence M. & Boboshko, Nikolai & Comey, Matthew, 2021. "The Impact of Selection into the Labor Force on the Gender Wage Gap," IZA Discussion Papers 14335, Institute of Labor Economics (IZA).
13. Chen, Xiaohong & Liao, Zhipeng, 2014. "Sieve M inference on irregular parameters," Journal of Econometrics, Elsevier, vol. 182(1), pages 70-86.
14. Roger Klein & Francis Vella, 2009. "A semiparametric model for binary response and continuous outcomes under index heteroscedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 735-762.
    • Klein, Roger & Vella, Francis, 2006. "A Semiparametric Model for Binary Response and Continuous Outcomes Under Index Heteroscedasticity," IZA Discussion Papers 2383, Institute of Labor Economics (IZA).
15. Toomet, Ott & Henningsen, Arne, 2008. "Sample Selection Models in R: Package sampleSelection," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i07).
16. Xu Zheng, John, 1995. "Semiparametric efficiency bounds for the binary choice and sample selection models under conditional symmetry," Economics Letters, Elsevier, vol. 47(3-4), pages 249-253, March.
17. Victor Chernozhukov & Iv'an Fern'andez-Val & Siyi Luo, 2018. "Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK," Papers 1811.11603, arXiv.org, revised Dec 2023.
    • Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2018. "Distribution regression with sample selection, with an application to wage decompositions in the UK," CeMMAP working papers CWP68/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
18. 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.
19. Timothy B Armstrong & Michal Kolesár, 2018. "A Simple Adjustment for Bandwidth Snooping," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 732-765.
    • Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R3, Cowles Foundation for Research in Economics, Yale University, revised Jun 2017.
    • Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2015.
    • Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2016.
    • Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961, Cowles Foundation for Research in Economics, Yale University.
20. 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.
21. Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2011. "Adaptive Experimental Design Using the Propensity Score," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 96-108, January.
    • Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2011. "Adaptive Experimental Design Using the Propensity Score," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 96-108.
    • Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2008. "Adaptive Experimental Design Using the Propensity Score," MPRA Paper 8315, University Library of Munich, Germany.
    • Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean S., 2009. "Adaptive Experimental Design Using the Propensity Score," Center Discussion Papers 47107, Yale University, Economic Growth Center.
    • Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 59, Yale University, Department of Economics.
    • Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 969, Economic Growth Center, Yale University.
22. Heinz König & Michael Lechner, 1994. "Some Recent Developments in Microeconometrics - A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 299-331, September.
    • König, Heinz & Lechner, Michael, 1994. "Some recent developments in microeconometrics: A survey," ZEW Discussion Papers 94-12, ZEW - Leibniz Centre for European Economic Research.
23. David Arnold & Will Dobbie & Peter Hull, 2022. "Measuring Racial Discrimination in Bail Decisions," American Economic Review, American Economic Association, vol. 112(9), pages 2992-3038, September.
    • David Arnold & Will Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Bail Decisions," Working Papers 2020-33, Becker Friedman Institute for Research In Economics.
    • Dobbie, Will & Hull, Peter & Arnold, David, 2022. "Measuring Racial Discrimination in Bail Decisions," University of California at San Diego, Economics Working Paper Series qt6f22n2h3, Department of Economics, UC San Diego.
    • David Arnold & Will S. Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Bail Decisions," NBER Working Papers 26999, National Bureau of Economic Research, Inc.
24. Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.
    • Juan Carlos Escanciano & Wei Li, 2018. "Optimal Linear Instrumental Variables Approximations," Papers 1805.03275, arXiv.org, revised Feb 2020.
25. Nicolas Berman & Vincent Rebeyrol & Vincent Vicard, 2019. "Demand Learning and Firm Dynamics: Evidence from Exporters," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 91-106, March.
    • N. Berman & V. Rebeyrol & V. Vicard, 2015. "Demand learning and firm dynamics: evidence from exporters," Working papers 551, Banque de France.
    • Nicolas Berman & Vincent Rebeyrol & Vincent Vicard, 2018. "Demand Learning and Firm Dynamics: Evidence from Exporters," Working Papers halshs-01945313, HAL.
    • Nicolas Berman & Vincent Rebeyrol & Vincent Vicard, 2019. "Demand Learning and Firm Dynamics: Evidence from Exporters," Post-Print hal-02111159, HAL.
    • Vincent Vicard & Vincent Rebeyrol & Nicolas Berman, 2016. "Demand learning and firm dynamics:evidence from exporters," 2016 Meeting Papers 517, Society for Economic Dynamics.
    • Nicolas Berman & Vincent Rebeyrol & Vincent Vicard, 2015. "Demand learning and firm dynamics: evidence from exporters," IHEID Working Papers 03-2015, Economics Section, The Graduate Institute of International Studies.
    • Nicolas Berman & Vincent Rebeyrol & Vincent Vicard, 2018. "Demand Learning and Firm Dynamics: Evidence from Exporters," AMSE Working Papers 1846, Aix-Marseille School of Economics, France.
    • Berman, Nicolas & Vicard, Vincent & Rebeyrol, Vincent, 2015. "Demand learning and firm dynamics: evidence from exporters," CEPR Discussion Papers 10517, C.E.P.R. Discussion Papers.
    • Berman, Nicolas & Rebeyrol, Vincent & Vicard, Vincent, 2017. "Demand learning and firm dynamics: evidence from exporters," TSE Working Papers 17-871, Toulouse School of Economics (TSE).
26. Giuseppe De Luca, 2008. "SNP and SML estimation of univariate and bivariate binary-choice models," Stata Journal, StataCorp LP, vol. 8(2), pages 190-220, June.
27. Dovonon, Prosper & Renault, Eric, 2011. "Testing for Common GARCH Factors," MPRA Paper 40224, University Library of Munich, Germany.
    • Prosper Dovonon & Eric Renault, 2012. "Testing for Common GARCH Factors," CIRANO Working Papers 2012s-34, CIRANO.
28. Katrin Hussinger, 2008. "R&D and subsidies at the firm level: an application of parametric and semiparametric two-step selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-747.
    • Hussinger, Katrin, 2003. "R&D and Subsidies at the Firm Level: An Application of Parametric and Semi-Parametric Two-Step Selection Models," ZEW Discussion Papers 03-63, ZEW - Leibniz Centre for European Economic Research.
    • Katrin Hussinger, 2004. "R&D and Subsidies at the Firm Level: An Application of Parametric and Semi-Parametric Two-Step Selection Models," Public Economics 0403005, University Library of Munich, Germany.
29. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    • Joshua D. Angrist, 2003. "Treatment Effect Heterogeneity in Theory and Practice," NBER Working Papers 9708, National Bureau of Economic Research, Inc.
    • Joshua Angrist, 2004. "Treatment Effect Heterogeneity in Theory and Practice," Econometric Society 2004 North American Winter Meetings 186, Econometric Society.
    • Angrist, Joshua, 2003. "Treatment Effect Heterogeneity in Theory and Practice," IZA Discussion Papers 851, Institute of Labor Economics (IZA).
30. Chen, Songnian, 1999. "Distribution-free estimation of the random coefficient dummy endogenous variable model," Journal of Econometrics, Elsevier, vol. 91(1), pages 171-199, July.
31. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    • Puhani, Patrick A., 1997. "Foul or Fair? The Heckman Correction for Sample Selection and Its Critique. A Short Survey," ZEW Discussion Papers 97-07, ZEW - Leibniz Centre for European Economic Research.
32. Khan, Shakeeb & Nekipelov, Denis, 2024. "On uniform inference in nonlinear models with endogeneity," Journal of Econometrics, Elsevier, vol. 240(2).
33. Marco Casari & John C. Ham & John H. Kagel, 2007. "Selection Bias, Demographic Effects, and Ability Effects in Common Value Auction Experiments," American Economic Review, American Economic Association, vol. 97(4), pages 1278-1304, September.
    • Marco Casari & John C. Ham & John H. Kagel, 2005. "Selection bias, demographic effects, and ability effects in common value auction experiments," Staff Reports 213, Federal Reserve Bank of New York.
34. Hidehiko Ichimura & Christopher Taber, 2000. "Direct estimation of policy impacts," IFS Working Papers W00/05, Institute for Fiscal Studies.
    • Hidehiko Ichimura & Christopher R. Taber, 2000. "Direct Estimation of Policy Impacts," NBER Technical Working Papers 0254, National Bureau of Economic Research, Inc.
35. 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.
36. Miguel A. Delgado & Juan Mora, 1995. "On asymptotic inferences in non-parametric and semiparametric models with discrete and mixed regressors," Investigaciones Economicas, Fundación SEPI, vol. 19(3), pages 435-467, September.
37. Qi Li & Aman Ullha, 1998. "Estimating partially linear panel data models with one-way error components," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 145-166.
38. Biavaschi, Costanza, 2016. "Recovering the counterfactual wage distribution with selective return migration," Labour Economics, Elsevier, vol. 38(C), pages 59-80.
    • Biavaschi, Costanza, 2012. "Recovering the Counterfactual Wage Distribution with Selective Return Migration," IZA Discussion Papers 6795, Institute of Labor Economics (IZA).
39. Van Hanh Nguyen & Catherine Matias, 2014. "On Efficient Estimators of the Proportion of True Null Hypotheses in a Multiple Testing Setup," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(4), pages 1167-1194, December.
40. Hale Utar, 2018. "Firms and Labor in Times of Violence: Evidence from the Mexican Drug War," CESifo Working Paper Series 7345, CESifo.
    • Utar, Hale, 2022. "Firms and Labor in Times of Violence: Evidence from the Mexican Drug War," IZA Discussion Papers 15160, Institute of Labor Economics (IZA).
    • Hale Utar, 2020. "Firms and Labor in Times of Violence: Evidence from the Mexican Drug War," Documentos de Trabajo 17937, The Latin American and Caribbean Economic Association (LACEA).
41. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    • Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    • Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-9, University of Miami, Department of Economics.
42. Timothy B. Armstrong, 2014. "Adaptive Testing on a Regression Function at a Point," Cowles Foundation Discussion Papers 1957, Cowles Foundation for Research in Economics, Yale University, revised Oct 2014.
    • Timothy B. Armstrong, 2014. "Adaptive Testing on a Regression Function at a Point," Cowles Foundation Discussion Papers 1957R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2015.
43. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
44. repec:jss:jstsof:27:i07 is not listed on IDEAS
45. Ranjeeta Thomas, 2012. "Conditional Cash Transfers To Improve Education And Health: An Ex Ante Evaluation Of Red De Protección Social, Nicaragua," Health Economics, John Wiley & Sons, Ltd., vol. 21(10), pages 1136-1154, October.
    • Thomas R., 2010. "Conditional Cash Transfers to Improve Education and Health: An Ex ante Evaluation of Red de Proteccion Social, Nicaragua," Health, Econometrics and Data Group (HEDG) Working Papers 10/04, HEDG, c/o Department of Economics, University of York.
46. Breunig, Christoph & Mammen, Enno & Simoni, Anna, 2018. "Nonparametric estimation in case of endogenous selection," Journal of Econometrics, Elsevier, vol. 202(2), pages 268-285.
    • Christoph Breunig & Enno Mammen & Anna Simoni, "undated". "Nonparametric Estimation in case of Endogenous Selection," SFB 649 Discussion Papers SFB649DP2015-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    • Christoph Breunig & Enno Mammen & Anna Simoni, 2018. "Nonparametric estimation in case of endogenous selection," Post-Print hal-03089885, HAL.
    • Breunig, Christoph & Mammen, Enno & Simoni, Anna, 2017. "Nonparametric Estimation in Case of Endogenous Selection," Rationality and Competition Discussion Paper Series 58, CRC TRR 190 Rationality and Competition.
    • Breunig, Christoph & Mammen, Enno & Simoni, Anna, 2015. "Nonparametric estimation in case of endogenous selection," SFB 649 Discussion Papers 2015-050, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
47. Naoki Wakamori & Angelika Welte, 2017. "Why Do Shoppers Use Cash? Evidence from Shopping Diary Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(1), pages 115-169, February.
    • Naoki Wakamori & Angelika Welte, 2012. "Why Do Shoppers Use Cash? Evidence from Shopping Diary Data," Staff Working Papers 12-24, Bank of Canada.
    • Wakamori, Naoki & Welte, Angelika, 2013. "Why Do Shoppers Use Cash? Evidence from Shopping Diary Data," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 431, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
48. Liu, Yangwen & Tremblay, Jean-Michel & Cirillo, Cinzia, 2014. "An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 315-328.
49. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Discussion Paper 2013-061, Tilburg University, Center for Economic Research.
50. Chen, Songnian & Khan, Shakeeb, 2003. "Rates of convergence for estimating regression coefficients in heteroskedastic discrete response models," Journal of Econometrics, Elsevier, vol. 117(2), pages 245-278, December.
51. Lukáš Lafférs & Bernhard Schmidpeter, 2021. "Early child development and parents' labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 190-208, March.
    • Lafférs, Lukáš & Schmidpeter, Bernhard, 2020. "Early Child Development and Parents' Labor Supply," IZA Discussion Papers 13531, Institute of Labor Economics (IZA).
52. 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.
53. Severini, Thomas A. & Tripathi, Gautam, 2001. "A simplified approach to computing efficiency bounds in semiparametric models," Journal of Econometrics, Elsevier, vol. 102(1), pages 23-66, May.
54. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2021. "Discrete Choice under Risk with Limited Consideration," American Economic Review, American Economic Association, vol. 111(6), pages 1972-2006, June.
    • Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete Choice under Risk with Limited Consideration," Papers 1902.06629, arXiv.org, revised Jan 2021.
    • Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2020. "Discrete choice under risk with limited consideration," CeMMAP working papers CWP28/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete choice under risk with limited consideration," CeMMAP working papers CWP08/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
55. Heckman, James J. & Vytlacil, Edward J., 2000. "The relationship between treatment parameters within a latent variable framework," Economics Letters, Elsevier, vol. 66(1), pages 33-39, January.
56. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2021. "Intercept Estimation in Nonlinear Selection Models," IZA Discussion Papers 14364, Institute of Labor Economics (IZA).
57. Sadat Reza & Paul Rilstone, 2016. "Semiparametric Efficiency Bounds and Efficient Estimation of Discrete Duration Models with Unspecified Hazard Rate," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 693-726, May.
58. George J. Borjas & Anthony Edo, 2023. "Monopsony, Efficiency, and the Regularization of Undocumented Immigrants," Working Papers 2023-18, CEPII research center.
    • George J. Borjas & Anthony Edo, 2023. "Monopsony, Efficiency, and the Regularization of Undocumented Immigrants," NBER Working Papers 31457, National Bureau of Economic Research, Inc.
59. Zeynep Elitas & Hakan Ercan & Semih Tumen, 2015. "Reassessing the trends in the relative supply of college-equivalent workers in the U.S.: a selection-correction approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 249-273, June.
    • Zeynep Elitas & Hakan Ercan & Semih Tumen, 2014. "Reassessing the Trends in the Relative Supply of College-Equivalent Workers in the U.S. : A Selection-Correction Approach," Working Papers 1410, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    • Elitas, Zeynep & Ercan, Hakan & Tumen, Semih, 2014. "Reassessing the Trends in the Relative Supply of College-Equivalent Workers in the U.S.: A Selection-Correction Approach," MPRA Paper 55396, University Library of Munich, Germany.
60. Honoré, Bo E. & Hu, Luojia, 2024. "Sample selection models without exclusion restrictions: Parameter heterogeneity and partial identification," Journal of Econometrics, Elsevier, vol. 243(1).
    • Bo E. Honore & Luojia Hu, 2021. "Sample Selection Models Without Exclusion Restrictions: Parameter Heterogeneity and Partial Identification," Working Paper Series WP 2022-33, Federal Reserve Bank of Chicago.
61. Jeffrey A. Dubin & Douglas Rivers, 1989. "Selection Bias in Linear Regression, Logit and Probit Models," Sociological Methods & Research, , vol. 18(2-3), pages 360-390, November.
62. Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2016. "Informational content of special regressors in heteroskedastic binary response models," Journal of Econometrics, Elsevier, vol. 193(1), pages 162-182.
    • Songnian Chen & Shakeeb Khan & Xun Tang, 2013. "Informational Content of Special Regressors in Heteroskedastic Binary Response Models," PIER Working Paper Archive 13-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
63. Gayle, George-Levi & Viauroux, Christelle, 2007. "Root-N consistent semiparametric estimators of a dynamic panel-sample-selection model," Journal of Econometrics, Elsevier, vol. 141(1), pages 179-212, November.
    • George-Levi Gayle & Christelle Viauroux, "undated". "Root-N Consistent Semiparametric Estimators of a Dynamic Panel Sample Selection Model," GSIA Working Papers 2004-E62, Carnegie Mellon University, Tepper School of Business.
    • Christelle Viauroux, G.L. Gayle, 2004. "Root-N Consistent Semiparametric Eestimators of a Dynamic Panel Sample Selection Model," University of Cincinnati, Economics Working Papers Series 2004-05, University of Cincinnati, Department of Economics.
64. Facundo Arga~naraz & Juan Carlos Escanciano, 2023. "On the Existence and Information of Orthogonal Moments," Papers 2303.11418, arXiv.org, revised Jun 2023.
65. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
66. Xun Tang, 2009. "Binary Regressions with Bounded Median Dependence," PIER Working Paper Archive 09-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
67. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
68. Songnian Chen, 1996. "Semiparametric efficiency bound for the Type 3 Tobit model under a symmetry restriction," Economics Letters, Elsevier, vol. 50(2), pages 161-167, February.
69. Lewbel, Arthur & Lin, Xirong, 2022. "Identification of semiparametric model coefficients, with an application to collective households," Journal of Econometrics, Elsevier, vol. 226(2), pages 205-223.
    • Arthur Lewbel & Xirong Lin, 2019. "Identification of Semiparametric Model Coefficients, With an Application to Collective Households," Boston College Working Papers in Economics 1002, Boston College Department of Economics, revised 15 Dec 2021.
70. Borjas, George J. & Edo, Anthony, 2023. "Monopsony, Efficiency, and the Regularization of Undocumented Immigrants," IZA Discussion Papers 16297, Institute of Labor Economics (IZA).
71. Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
72. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.
73. Joshua D. Angrist, 1995. "Conditioning on the Probability of Selection to Control Selection Bias," NBER Technical Working Papers 0181, National Bureau of Economic Research, Inc.
74. Richard Blundell & James P. Ziliak & Hugo Lopez, 2023. "Labour market inequality and the changing life cycle profile of male and female wages," IFS Working Papers W23/16, Institute for Fiscal Studies.
    • Richard Blundell & Hugo Lopez & James P. Ziliak, 2024. "Labour market inequality and the changing life cycle profile of male and female wages," IFS Working Papers W24/13, Institute for Fiscal Studies.
75. Stephens Alisa & Tchetgen Tchetgen Eric & De Gruttola Victor, 2014. "Locally Efficient Estimation of Marginal Treatment Effects When Outcomes Are Correlated: Is the Prize Worth the Chase?," The International Journal of Biostatistics, De Gruyter, vol. 10(1), pages 59-75, May.
76. Wan, Yuanyuan & Xu, Haiqing, 2014. "Semiparametric identification of binary decision games of incomplete information with correlated private signals," Journal of Econometrics, Elsevier, vol. 182(2), pages 235-246.
77. Fu Ouyang & Thomas Tao Yang & Hanghui Zhang, 2020. "Semiparametric Identification and Estimation of Discrete Choice Models for Bundles," ANU Working Papers in Economics and Econometrics 2020-672, Australian National University, College of Business and Economics, School of Economics.
78. Amit Gandhi & Jeremy T. Fox, 2009. "Identifying Heterogeneity in Economic Choice and Selection Models Using Mixtures," 2009 Meeting Papers 165, Society for Economic Dynamics.
79. Casey B. Mulligan & Yona Rubinstein, 2004. "The Closing of the Gender Gap as a Roy Model Illusion," NBER Working Papers 10892, National Bureau of Economic Research, Inc.
80. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
81. Mehmet Soytas & Limor Golan & George-Levi Gayle, 2014. "What Accounts for the Racial Gap in Time Allocation and Intergenerational Transmission of Human Capital?," 2014 Meeting Papers 83, Society for Economic Dynamics.
    • George-Levi Gayle & Limor Golan & Mehmet A. Soytas, 2015. "What Accounts for the Racial Gap in Time Allocation and Intergenerational Transmission of Human Capital?," Working Papers 2015-18, Federal Reserve Bank of St. Louis.
82. Ahrsjö, Ulrika & Niknami, Susan & Palme, Mårten, 2021. "Wage Inequality, Selection and the Evolution of the Gender Earnings Gap in Sweden," Research Papers in Economics 2021:3, Stockholm University, Department of Economics.
83. Ana Fernandez & Juan Rodriquez-Poo, 1997. "Estimation and specification testing in female labor participation models: parametric and semiparametric methods," Econometric Reviews, Taylor & Francis Journals, vol. 16(2), pages 229-247.
84. Cao, Ricardo & Gonzalez-Manteiga, Wenceslao, 2008. "Goodness-of-fit tests for conditional models under censoring and truncation," Journal of Econometrics, Elsevier, vol. 143(1), pages 166-190, March.
85. Bo E. Honoré & Luojia Hu, 2020. "Selection Without Exclusion," Econometrica, Econometric Society, vol. 88(3), pages 1007-1029, May.
    • Bo E. Honore & Luojia Hu, 2018. "Selection Without Exclusion," Working Paper Series WP-2018-10, Federal Reserve Bank of Chicago.
86. Zhewen Pan, 2023. "On semiparametric estimation of the intercept of the sample selection model: a kernel approach," Papers 2302.05089, arXiv.org.
87. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
88. Rachel Connelly & Deborah DeGraff & Deborah Levison & Brian McCall, 2006. "Tackling The Endogeneity Of Fertility In The Study Of Women'S Employment In Developing Countries: Alternative Estimation Strategies Using Data From Urban Brazil," Feminist Economics, Taylor & Francis Journals, vol. 12(4), pages 561-597.
89. Zhewen Pan & Zhengxin Wang & Junsen Zhang & Yahong Zhou, 2024. "Marginal treatment effects in the absence of instrumental variables," Papers 2401.17595, arXiv.org, revised Aug 2024.
90. Komunjer, Ivana & Vuong, Quang, 2010. "Efficient estimation in dynamic conditional quantile models," Journal of Econometrics, Elsevier, vol. 157(2), pages 272-285, August.
91. Tripathi, G., 1997. "Semiparametric Efficiency Bounds Under Shape Restrictions," Working papers 9720, Wisconsin Madison - Social Systems.
92. Yuanyuan Wan & Haiqing Xu, 2010. "Semiparametric identification and estimation of binary discrete games of incomplete information with correlated private signals," Department of Economics Working Papers 130913, The University of Texas at Austin, Department of Economics.
93. Agurto Adrianzén, Marcos, 2013. "Improved cooking stoves and firewood consumption: Quasi-experimental evidence from the Northern Peruvian Andes," Ecological Economics, Elsevier, vol. 89(C), pages 135-143.
94. Casey B. Mulligan & Yona Rubinstein, 2005. "Selection, Investment, and Women's Relative Wages Since 1975," NBER Working Papers 11159, National Bureau of Economic Research, Inc.
95. d'Haultfoeuille, Xavier, 2010. "A new instrumental method for dealing with endogenous selection," Journal of Econometrics, Elsevier, vol. 154(1), pages 1-15, January.
    • Xavier d'Haultfoeuille, 2008. "A New Instrumental Method for Dealing with Endogenous Selection," Working Papers 2008-23, Center for Research in Economics and Statistics.
96. Aradillas-Lopez, Andres, 2010. "Semiparametric estimation of a simultaneous game with incomplete information," Journal of Econometrics, Elsevier, vol. 157(2), pages 409-431, August.
97. Chen, Songnian & Zhou, Yahong, 2010. "Semiparametric and nonparametric estimation of sample selection models under symmetry," Journal of Econometrics, Elsevier, vol. 157(1), pages 143-150, July.
98. Dirk Czarnitzki & Hanna Hottenrott, 2011. "Financial Constraints: Routine Versus Cutting Edge R&D Investment," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(1), pages 121-157, March.
    • Binz, Hanna L. & Czarnitzki, Dirk, 2008. "Financial Constraints: Routine Versus Cutting Edge R&D Investment," ZEW Discussion Papers 08-005, ZEW - Leibniz Centre for European Economic Research.
99. Arthur Lewbel, 2019. "The Identification Zoo: Meanings of Identification in Econometrics," Journal of Economic Literature, American Economic Association, vol. 57(4), pages 835-903, December.
    • Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
100. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
     • Leung, S.F. & Yu, S., 1992. "On the Choice Between Sample Selection and Two-Part Models," RCER Working Papers 337, University of Rochester - Center for Economic Research (RCER).
101. Adam Lee, 2024. "Locally Regular and Efficient Tests in Non-Regular Semiparametric Models," Papers 2403.05999, arXiv.org.
102. Woraphon Yamaka & Paravee Maneejuk & Rungrapee Phadkantha & Wiranya Puntoon & Payap Tarkhamtham & Tatcha Sudtasan, 2023. "Survival and Duration Analysis of MSMEs in Chiang Mai, Thailand: Evidence from the Post-COVID-19 Recovery," Mathematics, MDPI, vol. 11(4), pages 1-21, February.
103. Ouyang, Fu & Yang, Thomas Tao & Zhang, Hanghui, 2020. "Semiparametric identification and estimation of discrete choice models for bundles," Economics Letters, Elsevier, vol. 193(C).
104. Abrevaya, Jason, 1999. "Rank regression for current-status data: asymptotic normality," Statistics & Probability Letters, Elsevier, vol. 43(3), pages 275-287, July.
105. Taber, Christopher R., 2000. "Semiparametric identification and heterogeneity in discrete choice dynamic programming models," Journal of Econometrics, Elsevier, vol. 96(2), pages 201-229, June.
106. Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
107. Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2023. "Distribution regression with sample selection and UK wage decomposition," CeMMAP working papers 09/23, Institute for Fiscal Studies.
108. Süß, Philipp, 2012. "Parametric and Semiparametric Binary Choice Estimators - Evidence from Monte Carlo Studies," MPRA Paper 104113, University Library of Munich, Germany.
109. Shobande, Olatunji A., 2023. "Rethinking social change: Does the permanent and transitory effects of electricity and solid fuel use predict health outcome in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).