Finite-sample Properties of System Estimators of Structural Coefficients in a Classical Model
Author:
Publisher:
Published: 1982
Total Pages: 157
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author:
Publisher:
Published: 1982
Total Pages: 157
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DOWNLOAD EBOOKAuthor: Borwornsri Somboonpanya
Publisher:
Published: 1984
Total Pages: 190
ISBN-13:
DOWNLOAD EBOOKAuthor: Roberto S. Mariano
Publisher:
Published: 1975
Total Pages: 36
ISBN-13:
DOWNLOAD EBOOKAuthor: R. L. Basmann
Publisher:
Published: 1960
Total Pages: 90
ISBN-13:
DOWNLOAD EBOOKAuthor: Aman Ullah
Publisher: Oxford University Press
Published: 2004-05-20
Total Pages: 241
ISBN-13: 0198774478
DOWNLOAD EBOOKThis text provides a comprehensive treatment of finite sample statistics and econometrics. Within this framework, the book discusses the basic analytical tools of finite sample econometrics and explores their applications to models covered in a first year graduate course in econometrics.
Author: George G. Judge
Publisher: John Wiley & Sons
Published: 1991-01-16
Total Pages: 1062
ISBN-13: 047189530X
DOWNLOAD EBOOKThis broadly based graduate-level textbook covers the major models and statistical tools currently used in the practice of econometrics. It examines the classical, the decision theory, and the Bayesian approaches, and contains material on single equation and simultaneous equation econometric models. Includes an extensive reference list for each topic.
Author: R. L. Basmann
Publisher:
Published: 1970
Total Pages: 60
ISBN-13:
DOWNLOAD EBOOKAuthor: John Eatwell
Publisher: Springer
Published: 1990-02-23
Total Pages: 296
ISBN-13: 1349205702
DOWNLOAD EBOOKThis is an excerpt from the 4-volume dictionary of economics, a reference book which aims to define the subject of economics today. 1300 subject entries in the complete work cover the broad themes of economic theory. This extract concentrates on econometrics.
Author: Jayalakshmi Krishnakumar
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 371
ISBN-13: 3642456472
DOWNLOAD EBOOKEconomists 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.
Author: Hengqing Tong
Publisher: John Wiley & Sons
Published: 2011-12-12
Total Pages: 489
ISBN-13: 0470681772
DOWNLOAD EBOOKStatistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.