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Sinopsis
This book focused on the panel data model estimators. Panel data is a continuously developing field. Panel data combine cross-sectional and time-series data and, therefore, provide a more appealing structure of data analysis than either cross sectional or time-series data, alone. Panel data analysis has many advantages over analysis using time-series and cross-sectional data alone. For example, the increased sample size due to the utilization of cross-sectional and time-series data improves the accuracy of model parameters' estimates due to a greater number of degrees of freedom and less multicollinearity compared to either cross-section or time-series data alone. Additionally, since panel data contain information on both the inter-temporal dynamics and the individuality of entities, it controls for the effect of missing variables on the estimation results. This book targeted at undergraduate, postgraduate students and other researchers who want to further their study on panel data models.
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Reseña del editor
This book focused on the panel data model estimators. Panel data is a continuously developing field. Panel data combine cross-sectional and time-series data and, therefore, provide a more appealing structure of data analysis than either cross sectional or time-series data, alone. Panel data analysis has many advantages over analysis using time-series and cross-sectional data alone. For example, the increased sample size due to the utilization of cross-sectional and time-series data improves the accuracy of model parameters' estimates due to a greater number of degrees of freedom and less multicollinearity compared to either cross-section or time-series data alone. Additionally, since panel data contain information on both the inter-temporal dynamics and the individuality of entities, it controls for the effect of missing variables on the estimation results. This book targeted at undergraduate, postgraduate students and other researchers who want to further their study on panel data models.
Biografía del autor
Megersa Tadesse is a Ethiopian.He graduated with MSc in Statistics in 2014 from Pan African University. He taught several statistics course's and its application. Megersa attended different international and national conferences and workshops. He published more than 8 papers.Currently, Megersa is doing his another Master in Research Method at JKUAT
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Estimation of Panel Data Models with Individual Effects
Publicado por
LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659429414
ISBN 13: 9783659429415
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focused on the panel data model estimators. Panel data is a continuously developing field. Panel data combine cross-sectional and time-series data and, therefore, provide a more appealing structure of data analysis than either cross sectional or time-series data, alone. Panel data analysis has many advantages over analysis using time-series and cross-sectional data alone. For example, the increased sample size due to the utilization of cross-sectional and time-series data improves the accuracy of model parameters' estimates due to a greater number of degrees of freedom and less multicollinearity compared to either cross-section or time-series data alone. Additionally, since panel data contain information on both the inter-temporal dynamics and the individuality of entities, it controls for the effect of missing variables on the estimation results. This book targeted at undergraduate, postgraduate students and other researchers who want to further their study on panel data models. 124 pp. Englisch. Nº de ref. del artículo: 9783659429415
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Estimation of Panel Data Models with Individual Effects
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659429414
ISBN 13: 9783659429415
Nuevo
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jirata Megersa TadesseMegersa Tadesse is a Ethiopian.He graduated with MSc in Statistics in 2014 from Pan African University. He taught several statistics course s and its application. Megersa attended different international and nat. Nº de ref. del artículo: 158872427
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Estimation of Panel Data Models with Individual Effects
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659429414
ISBN 13: 9783659429415
Nuevo
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focused on the panel data model estimators. Panel data is a continuously developing field. Panel data combine cross-sectional and time-series data and, therefore, provide a more appealing structure of data analysis than either cross sectional or time-series data, alone. Panel data analysis has many advantages over analysis using time-series and cross-sectional data alone. For example, the increased sample size due to the utilization of cross-sectional and time-series data improves the accuracy of model parameters' estimates due to a greater number of degrees of freedom and less multicollinearity compared to either cross-section or time-series data alone. Additionally, since panel data contain information on both the inter-temporal dynamics and the individuality of entities, it controls for the effect of missing variables on the estimation results. This book targeted at undergraduate, postgraduate students and other researchers who want to further their study on panel data models. Nº de ref. del artículo: 9783659429415
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Estimation of Panel Data Models with Individual Effects
Publicado por
LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659429414
ISBN 13: 9783659429415
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focused on the panel data model estimators. Panel data is a continuously developing field. Panel data combine cross-sectional and time-series data and, therefore, provide a more appealing structure of data analysis than either cross sectional or time-series data, alone. Panel data analysis has many advantages over analysis using time-series and cross-sectional data alone. For example, the increased sample size due to the utilization of cross-sectional and time-series data improves the accuracy of model parameters' estimates due to a greater number of degrees of freedom and less multicollinearity compared to either cross-section or time-series data alone. Additionally, since panel data contain information on both the inter-temporal dynamics and the individuality of entities, it controls for the effect of missing variables on the estimation results. This book targeted at undergraduate, postgraduate students and other researchers who want to further their study on panel data models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Nº de ref. del artículo: 9783659429415
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Estimation of Panel Data Models with Individual Effects
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659429414
ISBN 13: 9783659429415
Nuevo
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Taschenbuch. Condición: Neu. Estimation of Panel Data Models with Individual Effects | Megersa Tadesse Jirata (u. a.) | Taschenbuch | 124 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659429415 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 103645937
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