- Source: Censored regression model
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, but quantile and nonparametric estimators have also been developed. 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
Nonlinear regression
Nonparametric regression
Sampling bias
Truncated normal hurdle model
References
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. 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.
Kata Kunci Pencarian:
- Statistika nonparametrik
- Censored regression model
- Tobit model
- Truncated regression model
- Quantile regression
- Regression analysis
- Linear regression
- Proportional hazards model
- Accelerated failure time model
- Survival analysis
- List of statistics articles
