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Interpretation and identification of within-unit and cross-sectional variation in panel data models
While fixed effects (FE) models are often employed to address potential omitted variables, we argue that these models’ real utility is in isolating a particular dimension of variance from panel data for analysis. In addition, we show through novel mathematical decomposition and simulation that only...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7173782/ https://www.ncbi.nlm.nih.gov/pubmed/32315338 http://dx.doi.org/10.1371/journal.pone.0231349 |