Clustering and Standard Error Bias in Fixed Effects Panel Data Regressions
We address several issues concerning standard error bias in pooled time-series cross-section regressions. These include autocorrelation, problems with unit root tests, nonstationarity in levels regressions, and problems with clustered standard errors.
| Autores principales: | ; |
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| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| En: |
Journal of quantitative criminology
Año: 2020, Volumen: 36, Número: 2, Páginas: 347-369 |
| Acceso en línea: |
Volltext (Resolving-System) |
| Journals Online & Print: | Gargar...
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| Verificar disponibilidad: | HBZ Gateway |
| Palabras clave: |
MARC
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| 520 | |a We address several issues concerning standard error bias in pooled time-series cross-section regressions. These include autocorrelation, problems with unit root tests, nonstationarity in levels regressions, and problems with clustered standard errors. | ||
| 650 | 4 | |a Weighted regressions | |
| 650 | 4 | |a Difference-in-differences | |
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| 650 | 4 | |a Clustered standard errors | |
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| 650 | 4 | |a Auto correlation | |
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