Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments
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- Chen, Xiaohong & Hu, Yingyao & Lewbel, Arthur, 2008. "Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments," Economics Letters, Elsevier, vol. 100(3), pages 381-384, September.
- Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments," CeMMAP working papers CWP17/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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Citations
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Cited by:
- Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
- Liu, Yibin & Wu, Wenbin, 2017. "Closed-form estimation of a regression model with a mismeasured binary regressor and heteroskedasticity," Statistics & Probability Letters, Elsevier, vol. 125(C), pages 202-206.
- Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019.
"On the estimation of treatment effects with endogenous misreporting,"
Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
- Pierre Nguimkeu & Augustine Denteh & Rusty Tchernis, 2017. "On the Estimation of Treatment Effects with Endogenous Misreporting," NBER Working Papers 24117, National Bureau of Economic Research, Inc.
- Pierre Nguimkeu & Augustine Denteh & Rusty Tchernis, 2018. "On the Estimation of Treatment Effects with Endogenous Misreporting," Working Papers 2018-019, Human Capital and Economic Opportunity Working Group.
- Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2018. "On the Estimation of Treatment Effects with Endogenous Misreporting," IZA Discussion Papers 11426, Institute of Labor Economics (IZA).
- Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2017.
"Generalized partially linear regression with misclassified data and an application to labour market transitions,"
Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 145-159.
- Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2015. "Generalised partially linear regression with misclassied data and an application to labour market transitions," FDZ-Methodenreport 201510 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2015. "Generalised partially linear regression with misclassified data and an application to labour market transitions," ZEW Discussion Papers 15-043, ZEW - Leibniz Centre for European Economic Research.
- Lewbel, Arthur, 2018.
"Identification and estimation using heteroscedasticity without instruments: The binary endogenous regressor case,"
Economics Letters, Elsevier, vol. 165(C), pages 10-12.
- Arthur Lewbel, 2016. "Identification and Estimation Using Heteroscedasticity Without Instruments: The Binary Endogenous Regressor Case," Boston College Working Papers in Economics 927, Boston College Department of Economics.
- Dong, Yingying & Lewbel, Arthur, 2011.
"Nonparametric identification of a binary random factor in cross section data,"
Journal of Econometrics, Elsevier, vol. 163(2), pages 163-171, August.
- Yingyong Dong & Arthur Lewbel, 2009. "Nonparametric identification of a binary random factor in cross section data," CeMMAP working papers CWP16/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yingying Dong & Arthur Lewbel, 2009. "Nonparametric Identification of a Binary Random Factor in Cross Section Data," Boston College Working Papers in Economics 707, Boston College Department of Economics, revised 01 Jul 2010.
- Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022.
"A Bayesian approach to account for misclassification in prevalence and trend estimation,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
- van Hasselt, Martijn & Bollinger, Christopher & Bray, Jeremy, 2019. "A Bayesian Approach to Account for Misclassification in Prevalence and Trend Estimation," UNCG Economics Working Papers 19-13, University of North Carolina at Greensboro, Department of Economics.
- Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
- Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2015.
"Generalised partially linear regression with misclassified data and an application to labour market transitions,"
ZEW Discussion Papers
15-043, ZEW - Leibniz Centre for European Economic Research.
- Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2015. "Generalised partially linear regression with misclassied data and an application to labour market transitions," FDZ Methodenreport 201510_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Yingyao Hu & Arthur Lewbel, 2007.
"Identifying the Returns to Lying When the Truth is Unobserved,"
Economics Working Paper Archive
540, The Johns Hopkins University,Department of Economics.
- Yingyao Hu & Arthur Lewbel, 2008. "Identifying the returns to lying when the truth is unobserved," CeMMAP working papers CWP06/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Third Version," PIER Working Paper Archive 15-040, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 24 Nov 2015.
- repec:iab:iabfme:201510(en is not listed on IDEAS
- DiTraglia, Francis J. & García-Jimeno, Camilo, 2019. "Identifying the effect of a mis-classified, binary, endogenous regressor," Journal of Econometrics, Elsevier, vol. 209(2), pages 376-390.
- Yingyao Hu & Arthur Lewbel, 2012.
"Returns to Lying? Identifying the Effects of Misreporting When the Truth Is Unobserved,"
Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 7(2), pages 163-192, June.
- Yingyao Hu & Arthur Lewbel, 2007. "Returns to Lying? Identifying the Effects of Misreporting When the Truth is Unobserved," Boston College Working Papers in Economics 678, Boston College Department of Economics, revised 16 Jun 2009.
- Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Second Version," PIER Working Paper Archive 15-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 11 Nov 2015.
- Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
- van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.
- Ben-Moshe, Dan & D’Haultfœuille, Xavier & Lewbel, Arthur, 2017. "Identification of additive and polynomial models of mismeasured regressors without instruments," Journal of Econometrics, Elsevier, vol. 200(2), pages 207-222.
- Deng, Ping & Hu, Yingyao, 2009. "Bounding the effect of a dichotomous regressor with arbitrary measurement errors," Economics Letters, Elsevier, vol. 105(3), pages 256-260, December.
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More about this item
Keywords
misclassification error; identification; nonparametric regression;All these keywords.
JEL classification:
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2007-08-14 (Econometrics)
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