Articles liés à Estimation of Panel Data Models with Individual Effects

Estimation of Panel Data Models with Individual Effects - Couverture souple

Jirata, Megersa Tadesse; Cheruiyot, Chelule; Romanus, Odhiambo

 
9783659429415: Estimation of Panel Data Models with Individual Effects
Couverture souple
ISBN 10 : 3659429414 ISBN 13 : 9783659429415
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659429414
ISBN 13 
9783659429415
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
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