estimation simultaneous equation models von krishnakumar jayalakshmi (5 Ergebnisse)

Gr.-8°. X, 357 Pages. Publishers: Springer Verlag (1988). X, 357 Pages. Original Flexible Boards (titled). Ex-Library-Copy. Pages browned (age-related). Library-Button on the Spine. Library-Stamp [dropped out] on Title. No Markings in the Text! No Underlinings! No handwritten Owner-Notation! Cover only with small Signs of Usage. ('Lecture Notes in Economics and Mathematical Systems', Volume 312).

Ehemaliges Bibliotheksexemplar mit Stempel innen und Bibliothekssignatur auf Einband in gutem Zustand. Ex-library with stamp and catalogue number on spine. GOOD condition, some traces of use. Sk 681 3540500316 Sprache: Englisch Gewicht in Gramm: 550.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Paperback. Zustand: Brand New. reprint edition. 376 pages. 9.61x6.69x0.78 inches. In Stock.