Estimating dynamic Panel data. A practical approach to perform long panels.
Panel data methodology is one of the most popular tools for quantitative analyses in the field of social sciences, particularly on topics related to economics and business. This technique allows us simultaneously addressing individual effects, numerous periods, and in turn, the endogeneity of the mo...
- Autores:
-
Labra Lillo, Romilio
Torrecillas, Celia
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/66491
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/66491
http://bdigital.unal.edu.co/67519/
- Palabra clave:
- 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
datos de panel
datos de panel dinámicos
modelos endógenos
sobreidentificación
stata
xtabond2
panel data
dynamic panels
XTABOND2
overidentification
endogenous models
Stata.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Labra Lillo, Romilio66f31547-b73d-4be8-a5c7-9ed741550844300Torrecillas, Celiaf4160bf3-9d99-4266-833c-9a2293b9873e3002019-07-03T02:13:54Z2019-07-03T02:13:54Z2018-01-01ISSN: 2389-8976https://repositorio.unal.edu.co/handle/unal/66491http://bdigital.unal.edu.co/67519/Panel data methodology is one of the most popular tools for quantitative analyses in the field of social sciences, particularly on topics related to economics and business. This technique allows us 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. Two types of models can be estimated with Panel data. While those of static nature have been the most developed, for performing dynamic models still remain some theoretical and practical constraints. This paper focus precisely on the latter, dynamics panel data, using an approach that combines theory and praxis, and paying special attention on estimations with macro database, that is to say, dataset with a long period of time and a small number of individuals, also called long panels.La metodología de Datos de Panel es una de las técnicas más usadas para realizar análisis cuantitativos en el ámbito de las ciencias sociales, especialmente en temas relacionados con la economía y los negocios. Su riqueza reside en que esta técnica permite trabajar con varios periodos de tiempo, incorporar los efectos individuales, y a su vez, tratar la endogeneidad. A pesar de estas ventajas, existen diversos obstáculos para su implementación, tanto metodológicos como operativos. Dentro de los tipos de modelos que se pueden estimar con Datos de Panel, los de carácter estáticos han sido los más desarrollados, persistiendo aún carencias teórico-prácticas para los modelos dinámicos. Este artículo pone precisamente su énfasis en estos últimos, aplicando un enfoque que conjuga la teoría y la praxis, y prestando especial atención a su aplicabilidad para datos macroeconómicos, fundamentalmente para paneles que poseen un período de tiempo largo y un número de individuos pequeño.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadísticahttps://revistas.unal.edu.co/index.php/estad/article/view/61885Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de EstadísticaRevista Colombiana de EstadísticaLabra Lillo, Romilio and Torrecillas, Celia (2018) Estimating dynamic Panel data. A practical approach to perform long panels. Revista Colombiana de Estadística, 41 (1). pp. 31-52. ISSN 2389-897651 Matemáticas / Mathematics31 Colecciones de estadística general / Statisticsdatos de paneldatos de panel dinámicosmodelos endógenossobreidentificaciónstataxtabond2panel datadynamic panelsXTABOND2overidentificationendogenous modelsStata.Estimating dynamic Panel data. A practical approach to perform long panels.Artículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL61885-373853-1-PB.pdfapplication/pdf420296https://repositorio.unal.edu.co/bitstream/unal/66491/1/61885-373853-1-PB.pdf8362fc95f518347cfea80f22edfa860bMD51THUMBNAIL61885-373853-1-PB.pdf.jpg61885-373853-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg5935https://repositorio.unal.edu.co/bitstream/unal/66491/2/61885-373853-1-PB.pdf.jpg2b9c05cfb0ebb4cda1ebc1086d3bd322MD52unal/66491oai:repositorio.unal.edu.co:unal/664912024-05-16 23:09:32.069Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
dc.title.spa.fl_str_mv |
Estimating dynamic Panel data. A practical approach to perform long panels. |
title |
Estimating dynamic Panel data. A practical approach to perform long panels. |
spellingShingle |
Estimating dynamic Panel data. A practical approach to perform long panels. 51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics datos de panel datos de panel dinámicos modelos endógenos sobreidentificación stata xtabond2 panel data dynamic panels XTABOND2 overidentification endogenous models Stata. |
title_short |
Estimating dynamic Panel data. A practical approach to perform long panels. |
title_full |
Estimating dynamic Panel data. A practical approach to perform long panels. |
title_fullStr |
Estimating dynamic Panel data. A practical approach to perform long panels. |
title_full_unstemmed |
Estimating dynamic Panel data. A practical approach to perform long panels. |
title_sort |
Estimating dynamic Panel data. A practical approach to perform long panels. |
dc.creator.fl_str_mv |
Labra Lillo, Romilio Torrecillas, Celia |
dc.contributor.author.spa.fl_str_mv |
Labra Lillo, Romilio Torrecillas, Celia |
dc.subject.ddc.spa.fl_str_mv |
51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics |
topic |
51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics datos de panel datos de panel dinámicos modelos endógenos sobreidentificación stata xtabond2 panel data dynamic panels XTABOND2 overidentification endogenous models Stata. |
dc.subject.proposal.spa.fl_str_mv |
datos de panel datos de panel dinámicos modelos endógenos sobreidentificación stata xtabond2 panel data dynamic panels XTABOND2 overidentification endogenous models Stata. |
description |
Panel data methodology is one of the most popular tools for quantitative analyses in the field of social sciences, particularly on topics related to economics and business. This technique allows us 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. Two types of models can be estimated with Panel data. While those of static nature have been the most developed, for performing dynamic models still remain some theoretical and practical constraints. This paper focus precisely on the latter, dynamics panel data, using an approach that combines theory and praxis, and paying special attention on estimations with macro database, that is to say, dataset with a long period of time and a small number of individuals, also called long panels. |
publishDate |
2018 |
dc.date.issued.spa.fl_str_mv |
2018-01-01 |
dc.date.accessioned.spa.fl_str_mv |
2019-07-03T02:13:54Z |
dc.date.available.spa.fl_str_mv |
2019-07-03T02:13:54Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
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http://purl.org/redcol/resource_type/ART |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
ISSN: 2389-8976 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/66491 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/67519/ |
identifier_str_mv |
ISSN: 2389-8976 |
url |
https://repositorio.unal.edu.co/handle/unal/66491 http://bdigital.unal.edu.co/67519/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/estad/article/view/61885 |
dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística Revista Colombiana de Estadística |
dc.relation.references.spa.fl_str_mv |
Labra Lillo, Romilio and Torrecillas, Celia (2018) Estimating dynamic Panel data. A practical approach to perform long panels. Revista Colombiana de Estadística, 41 (1). pp. 31-52. ISSN 2389-8976 |
dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
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application/pdf |
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Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística |
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Universidad Nacional de Colombia |
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