Estimation of censored linear errors-in-variables models
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 84 (1998)
Issue (Month): 2 (June)
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Web page: http://www.elsevier.com/locate/jeconom
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- Hsiao, Cheng, 1991.
"Identification and Estimation of Dichotomous Latent Variables Models Using Panel Data,"
Review of Economic Studies,
Wiley Blackwell, vol. 58(4), pages 717-31, July.
- Hsiao, C., 1989. "Identification And Estimation Of Dichotomous Latent Variables Models Using Panel Data," Papers 8944, Tilburg - Center for Economic Research.
- Hsiao, Ch., 1989. "Identification and Estimation of Dichotomous Latent Variables Models using Panel Data," Discussion Paper 1989-44, Tilburg University, Center for Economic Research.
- Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
- Heckman, James J. & Macurdy, Thomas E., 1986. "Labor econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 32, pages 1917-1977 Elsevier.
- Killingsworth, Mark R. & Heckman, James J., 1987. "Female labor supply: A survey," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 2, pages 103-204 Elsevier.
- Olsen, Randall J, 1978. "Note on the Uniqueness of the Maximum Likelihood Estimator for the Tobit Model," Econometrica, Econometric Society, vol. 46(5), pages 1211-15, September.
- Weiss, Andrew A., 1993. "Some aspects of measurement error in a censored regression model," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 169-188, March.
- Greene, William H., 1983. "Estimation of limited dependent variable models by ordinary least squares and the method of moments," Journal of Econometrics, Elsevier, vol. 21(2), pages 195-212, February.
- Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
- Yu Miao & Fangfang Zhao & Ke Wang & Yanping Chen, 2013. "Asymptotic normality and strong consistency of LS estimators in the EV regression model with NA errors," Statistical Papers, Springer, vol. 54(1), pages 193-206, February.
- Yingyao Hu & Geert Ridder, 2009.
"Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information,"
Economics Working Paper Archive
554, The Johns Hopkins University,Department of Economics.
- Yingyao Hu & Geert Ridder, 2012. "Estimation of nonlinear models with mismeasured regressors using marginal information," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 347-385, 04.
- Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR).
- Xiaohong Chen & Han Hong & Alessandro Tarozzi, 2008.
"Semiparametric Efficiency in GMM Models of Nonclassical Measurement Errors, Missing Data and Treatment Effects,"
Cowles Foundation Discussion Papers
1644, Cowles Foundation for Research in Economics, Yale University.
- Chen, Xiaohong & Hong, Han & Tarozzi, Alessandro, 2008. "Semiparametric Efficiency in GMM Models of Nonclassical Measurement Errors, Missing Data and Treatment Effects," Working Papers 42, Yale University, Department of Economics.
- ZINDE-WALSH, Victoria, 2007.
"Errors-in-Variables Models : A Generalized Functions Approach,"
Cahiers de recherche
14-2007, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Victoria Zinde-Walsh, 2009. "Errors-In-Variables Models: A Generalized Functions Approach," Departmental Working Papers 2009-09, McGill University, Department of Economics.
- Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(04), pages 1010-1043, August.
- Taraneh Abarin & Liqun Wang, 2012. "Instrumental variable approach to covariate measurement error in generalized linear models," Annals of the Institute of Statistical Mathematics, Springer, vol. 64(3), pages 475-493, June.
- Xiaohong Chen & Yingyao Hu, 2006. "Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors," Cowles Foundation Discussion Papers 1590, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Han Hong & Denis Nekipelov, 2011. "Nonlinear Models of Measurement Errors," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 901-37, December.
- Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.
- Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.
- Song, Weixing & Yao, Weixin, 2011. "A lack-of-fit test in Tobit errors-in-variables regression models," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1792-1801.
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