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The Early Years of Panel Data Econometrics

Datos Bibliográficos

ID4298322
AutoresAriane Dupont-Kieffer (Laboratoire Aménagement Économie Transports), Alain Pirotte (0000-0002-2914-6842, Laboratoire Aménagement Économie Transports)
Año2011
Volumen43
Númerosuppl_1
Páginas258-282
Fecha de publicación2011-12-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaHistory of Political Economy (JOURNAL)
Identificadores de la revistaISSN: 0018-2702 • E-ISSN: 1527-1919
EditorialDuke University Press (PUBLISHER • US)
DOI10.1215/00182702-1158754
OpenAlexW2162139872
IdiomaEN
Citas recibidas2
Referencias citadas34

This essay focuses on the early years of panel data econometrics and two seminal papers by Yair Mundlak (1961) and Pietro Balestra and Marc Nerlove (1966). The issue of latent individual heterogeneity was identified as a central problem. One main ambition was to get a clear understanding of how differences in behavior across individuals and/or through time could and should be modeled. Another main aspect was the assumed inherent dynamic pattern of economic behavior, which requires the use of specific models and data collection. These articles attempted to build relevant models and statistical methods, mainly based on the distinction between fixed effects (analysis of covariance) and random effects. They brought back identification issues in the context of estimating a production function of sixty-six farms in Israel for 1954-58 (Mundlak 1961) and the demand for natural gas in the residential and commercial market of thirty-six U.S. states observed for 1957-62 (Balestra and Nerlove 1966

Context (archaeology · Covariance · Econometrics · Economics · Geography · Identification (biology · Panel data · Statistics · Housing Market and Economics · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis

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    Trygve Haavelmo•Econometrica•1943

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Obras citantes distintas2
Citas por año0,22
Intervalo de citas2017 - 2022 (6)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 2
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