This book reviews the basic econometric methods that have been used to analyze panel data - in other words, data collected by observing a number of individuals over time. In analyzing panel, data, difficulties can arise due to unobserved individuals and/or time characteristics. The focus of this book is twofold: correcting for these difficulties, and providing methods for improvement of the efficiency of the estimates. Analysis of Panel Data draws together work on panel data from a number of different perspectives, including the econometric literature on specification analysis, the time series literature on dynamic models, and discrete choice literature. Empirical examples are provided to illustrate the theoretical discussion as well as to indicate areas of research where panel data might be useful.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book reviews the basic econometric methods that have been used to analyze panel data - in other words, data collected by observing a number of individuals over time. In analyzing panel, data, difficulties can arise due to unobserved individuals and/or time characteristics. The focus of this book is twofold: correcting for these difficulties, and providing methods for improvement of the efficiency of the estimates. Analysis of Panel Data draws together work on panel data from a number of different perspectives, including the econometric literature on specification analysis, the time series literature on dynamic models, and discrete choice literature. Empirical examples are provided to illustrate the theoretical discussion as well as to indicate areas of research where panel data might be useful.
'Researchers will find that the insights that they gain from working through the book's tougher sections are well worth the effort. The book remains an indispensable and comprehensive reference for panel estimation methods.' David C. Ribar, International Journal of Forecasting
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Soft cover. Etat : Good. 246 numbered pages; a couple minor marks inside covers; a few minor specks to edges of closed pages; light wear to corners and edges of gray softcover; minor curl to front cover; a couple minor creases to cover; a few minor scratches/ minor dings to cover; weighs 12.5 ounces; measures 8.8 by 5.9 by .45 inches; 080218; This book reviews the basic econometric methods that have been used to analyze panel data - in other words, data collected by observing a number of individuals over time. N° de réf. du vendeur 15828
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paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_456083484
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Vendeur : Hamelyn, Madrid, M, Espagne
Etat : Muy bueno. : Este libro revisa los métodos econométricos básicos que se han utilizado para analizar datos de panel, es decir, datos recopilados observando a varios individuos a lo largo del tiempo. Al analizar datos de panel, pueden surgir dificultades debido a características individuales y/o temporales no observadas. El enfoque de este libro es doble: corregir estas dificultades y proporcionar métodos para mejorar la eficiencia de las estimaciones. 'Analysis of Panel Data' reúne trabajos sobre datos de panel desde diferentes perspectivas, incluida la literatura econométrica sobre análisis de especificaciones, la literatura de series temporales sobre modelos dinámicos y la literatura de elección discreta. Se proporcionan ejemplos empíricos para ilustrar la discusión teórica, así como para indicar áreas de investigación donde los datos de panel podrían ser útiles. EAN: 9780521389334 Tipo: Libros Categoría: Negocios y Economía|Ciencias Título: Analysis of Panel Data Autor: Cheng Hsiao Editorial: Cambridge University Press Idioma: en Páginas: 256 Formato: tapa blanda. N° de réf. du vendeur Happ-2023-11-17-c4ea8a23
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