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| Μοντέλο Tobit Bayes× | Μοντέλο Παλινδρόμησης Tobit με Λογοκρισία× | |
|---|---|---|
| Πεδίο≠ | Στατιστική | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1958 (classical); 1992 (Bayesian formulation) | 1958 |
| Δημιουργός≠ | James Tobin (classical Tobit, 1958); Siddhartha Chib (Bayesian Tobit, 1992) | James Tobin |
| Τύπος≠ | Bayesian censored/limited-dependent-variable regression | Censored regression (limited dependent variable) |
| Θεμελιώδης πηγή≠ | Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36. DOI ↗ | Tobin, J. (1958). Estimation of Relationships for Limited Dependent Variables. Econometrica, 26(1), 24-36. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | Bayesian censored regression, Bayesian Type I Tobit, Bayesian truncated regression, Tobit with priors | censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon) |
| Συναφείς≠ | 5 | 4 |
| Σύνοψη≠ | The Bayesian Tobit model extends Tobin's censored regression framework by replacing maximum-likelihood point estimates with a full posterior distribution over regression coefficients and error variance. By embedding Gibbs sampling with data augmentation, it produces credible intervals, handles small censored samples gracefully, and naturally incorporates prior knowledge about effect sizes. | The Tobit model is a regression for outcomes that are censored at a threshold, estimating the relationship by maximum likelihood. Introduced by James Tobin in 1958, it addresses the pile-up of observations at a limit (typically zero) in data such as spending, wages, or duration. |
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