Estimation of Simultaneous Equation Models with Error Components Structure is popular PDF and ePub book, written by Jayalakshmi Krishnakumar in 2012-12-06, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Estimation of Simultaneous Equation Models with Error Components Structure can be Read Online from any device for your convenience.
Estimation of Simultaneous Equation Models with Error Components Structure Book PDF Summary
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.
Detail Book of Estimation of Simultaneous Equation Models with Error Components Structure PDF
- Author : Jayalakshmi Krishnakumar
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783642456473
- Genre : Business & Economics
- Total Page : 371 pages
- Language : English
- PDF File Size : 15,8 Mb
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