Censored regression models are a class of models in which the dependent variable is censored above or below a certain threshold. A commonly used likelihood-based model to accommodate to a censored sample is the Tobit model,[1] but quantile and nonparametric estimators have also been developed.[2][3] These and other censored regression models are often confused with truncated regression models. Truncated regression models are used for data where whole observations are missing so that the values for the dependent and the independent variables are unknown. Censored regression models are used for data where only the value for the dependent variable is unknown while the values of the independent variables are still available.
Censored dependent variables frequently arise in econometrics. A common example is labor supply. Data are frequently available on the hours worked by employees, and a labor supply model estimates the relationship between hours worked and characteristics of employees such as age, education and family status. However, such estimates undertaken using linear regression will be biased by the fact that for people who are unemployed it is not possible to observe the number of hours they would have worked had they had employment. Still we know age, education and family status for those observations.
^Breen, Richard (1996). "The Tobit Model for Censored Data". Regression Models : Censored, Samples Selected, or Truncated Data. Thousand Oaks: Sage. pp. 12–33. ISBN0-8039-5710-6.
^Buchinsky, Moshe; Hahn, Jinyong (1998). "An Alternative Estimator for the Censored Quantile Regression Model". Econometrica. 66 (3): 653–671. doi:10.2307/2998578.
^Lewbel, Arthur; Linton, Oliver (2002). "Nonparametric Censored and Truncated Regression". Econometrica. 70 (2): 765–779. JSTOR 2692291.
Further reading
Achen, Christopher H. (1986). "Quasi-Experiments with Censored Data: Why Regression and Weighting Fail". The Statistical Analysis of Quasi-Experiments. Berkeley: University of California Press. pp. 73–95. ISBN0-520-04723-0.
Maddala, G. S. (1983). "Censored and Truncated Regression Models". Limited-Dependent and Qualitative Variables in Econometrics. New York: Cambridge University Press. pp. 149–196. ISBN0-521-24143-X.
This Econometrics-related article is a stub. You can help Wikipedia by expanding it.
censored, regression, model, class, models, which, dependent, variable, censored, above, below, certain, threshold, commonly, used, likelihood, based, model, accommodate, censored, sample, tobit, model, quantile, nonparametric, estimators, have, also, been, de. Censored regression models are a class of models in which the dependent variable is censored above or below a certain threshold A commonly used likelihood based model to accommodate to a censored sample is the Tobit model 1 but quantile and nonparametric estimators have also been developed 2 3 These and other censored regression models are often confused with truncated regression models Truncated regression models are used for data where whole observations are missing so that the values for the dependent and the independent variables are unknown Censored regression models are used for data where only the value for the dependent variable is unknown while the values of the independent variables are still available Censored dependent variables frequently arise in econometrics A common example is labor supply Data are frequently available on the hours worked by employees and a labor supply model estimates the relationship between hours worked and characteristics of employees such as age education and family status However such estimates undertaken using linear regression will be biased by the fact that for people who are unemployed it is not possible to observe the number of hours they would have worked had they had employment Still we know age education and family status for those observations See also EditNonlinear regression Nonparametric regression Sampling bias Truncated normal hurdle modelReferences Edit Breen Richard 1996 The Tobit Model for Censored Data Regression Models Censored Samples Selected or Truncated Data Thousand Oaks Sage pp 12 33 ISBN 0 8039 5710 6 Buchinsky Moshe Hahn Jinyong 1998 An Alternative Estimator for the Censored Quantile Regression Model Econometrica 66 3 653 671 doi 10 2307 2998578 Lewbel Arthur Linton Oliver 2002 Nonparametric Censored and Truncated Regression Econometrica 70 2 765 779 JSTOR 2692291 Further reading EditAchen Christopher H 1986 Quasi Experiments with Censored Data Why Regression and Weighting Fail The Statistical Analysis of Quasi Experiments Berkeley University of California Press pp 73 95 ISBN 0 520 04723 0 Maddala G S 1983 Censored and Truncated Regression Models Limited Dependent and Qualitative Variables in Econometrics New York Cambridge University Press pp 149 196 ISBN 0 521 24143 X This Econometrics related article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Censored regression model amp oldid 1011196608, wikipedia, wiki, book, books, library,
