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Estimation of Simultaneous Equation Models with Error Components Structure [Paperback]

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  • Category: Books (Business & Economics)
  • Author:  Krishnakumar, Jayalakshmi
  • Author:  Krishnakumar, Jayalakshmi
  • ISBN-10:  3540500316
  • ISBN-10:  3540500316
  • ISBN-13:  9783540500315
  • ISBN-13:  9783540500315
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-1988
  • Pub Date:  01-Feb-1988
  • SKU:  3540500316-11-SPRI
  • SKU:  3540500316-11-SPRI
  • Pages:  363
  • Pages:  363
  • Item ID: 100773121
  • List Price: $54.99
  • Seller: ShopSpell
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  • Delivery by: Oct 13 to Oct 15
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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.1. Introduction.- 1.1 General.- 1.2 Organization of the Book.- 2. A Survey of Panel Data Models.- 2.1 General.- 2.2 Constant Slope Variable Intercept Models.- 2.3 Variable Coefficient Models.- 2.4 Estimation of Variance Components in Panel Data Models.- 2.5 Estimation of Models using Incomplete Time-Series Cross-Section Data.- 2.6 Extensions.- 3. Presentation of Simultaneous Equations Models with Error Components Structure and Estimation of the Reduced Form.- 3.1 The Model.- 3.2 Estimation of the Reduced Form.- Appendix 3.A Proof of the Consistency of the Feasible GLS Estimator of Reduced Form Coefficients.- Appendix 3.B Limiting Distribution of the Feasible GLS Estimator of the Reduced Form.- Appendix 3.C. Limiting Distribution of the Reduced Form Maximum Likelihood Estimators.- 4 Estimation of the Structural Form  Part 1.- 4l3.
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