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.
Contents: Introduction; A Survey of Panel Data Models; Presentation of Simultaneous Equations Models with Error Components Structure and Estimation of the Reduced Form; Estimation of the Structural Form - Part 1; Estimation of the Structural Form - Part 2; The Just-Identified Case and Indirect Estimation of Structural Parameters; Bias of the Feasible Estimators of Reduced Form and Structural Variance Components and Coefficients; Application to a Model of Residential Electricity Demand; Conclusions; References.
Series: Lecture Notes in Economic and Mathematical Systems
Number Of Pages: 363
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 24.41 x 16.99
Weight (kg): 0.6