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| Bayesianische Paneldatenanalyse× | Paneldatenanalyse× | |
|---|---|---|
| Fachgebiet | Ökonometrie | Ökonometrie |
| Familie | Regression model | Regression model |
| Entstehungsjahr≠ | 1971–1999 | 1966–1978 |
| Urheber≠ | Zellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999) | Balestra & Nerlove (1966); Mundlak (1978); Hausman (1978) |
| Typ≠ | Bayesian estimation for panel data | Panel regression framework |
| Wegweisende Quelle≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528 |
| Aliasnamen | Bayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panel | longitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysis |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | Bayesian panel data analysis applies Bayesian inference to models with repeated observations on multiple units. By placing prior distributions on coefficients and variance components, it merges prior knowledge with the observed panel likelihood to produce full posterior distributions for fixed or random effects, slope heterogeneity, and variance parameters — rather than point estimates and asymptotic standard errors. | Panel data analysis models data that track multiple units — countries, firms, individuals — over time, enabling researchers to control for unobserved unit-level heterogeneity that would otherwise bias cross-sectional or time-series estimates. The two core specifications are fixed effects and random effects, selected via the Hausman test. |
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