Estimation of Simultaneous Equation Models with Error Components Structure

Name: Estimation of Simultaneous Equation Models with Error Components Structure
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540500315
Price: 1147 CZK
Availability: InStock

Autor: Jayalakshmi Krishnakumar

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele

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Economists can rarely perform controlled experiments to generate data. Existing information in the f...

Informace o knize

Autor

Jayalakshmi Krishnakumar

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Stránek

363

EAN

9783540500315

ISBN

9783540500315

Enbook ID

08908617

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

648

Rozměry

170 x 244 x 21

Kompletní popis

Economists can rarely perform controlled experiments to generate data. Existing information in the form of real-life observations simply has to be utilized in the best possible way. Given this, it is advantageous to make use of the increasing availability and accessibility of combinations of time-series and cross-sectional data in the estimation of economic models. But such data call for a new methodology of estimation and hence for the development of new econometric models. This book proposes one such new model which introduces error components in a system of simultaneous equations to take into account the temporal and cross-sectional heterogeneity of panel data. After a substantial survey of panel data models, the newly proposed model is presented in detail and indirect estimations, full information and limited information estimations, and estimations with and without the assumption of normal distribution errors. These estimation methods are then applied using a computer to estimate a model of residential electricity demand using data on American households. The results are analysed both from an economic and from a statistical point of view.

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Estimation of Simultaneous Equation Models with Error Components Structure

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