Estimating dynamic Panel data. A practical approach to perform long panels
Panel data methodology is one of the most popular tools for quantitative analysis in the field of social sciences, particularly on topics related to economics and business. This technique allows simultaneously addressing individual effects, numerous periods, and in turn, the endogeneity of the model...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/13228 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/13228 |
| Access Level: | acceso abierto |
| Palabra clave: | 330.43 519.23 Dynamic Panels Endogenous Models Overidentification Panel Data Stata Xtabond2 Datos de panel Datos de panel dinámicos Modelos endógenos Sobreidentificación Estadística Economía Econometría (Economía) Microeconomía 1209 Estadística 53 Ciencias Económicas 5302 Econometría 5307.15 Teoría Microeconómica |
| Sumario: | Panel data methodology is one of the most popular tools for quantitative analysis in the field of social sciences, particularly on topics related to economics and business. This technique allows simultaneously addressing individual effects, numerous periods, and in turn, the endogeneity of the model or independent regressors. Despite these advantages, there are several methodological and practical limitations to perform estimations using this tool. There are two types of models that can be estimated with Panel data: Static and Dynamic, the former is the most developed while dynamic models still have some theoretical and practical constraints. This paper focuses precisely on the latter, Dynamic panel data, using an approach that combines theory and praxis, and paying special attention on its applicability on macroeonomic data, specially datasets with a long period of time and a small number of individuals, also called long panels. |
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