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Econometrics:An Introductory Exposition of Econometric Methods A Koutsoyiannis

By: Contributor(s): Material type: TextPublication details: : London Macmillan 1977Edition: 2nd edDescription: xvii, 681 pages illustrations ; 24 cmISBN:
  • 9780333778227
Subject(s): LOC classification:
  • HB139.K66
Contents:
PART 1 CORRELATION THEORY: THE SIMPLE LINEAR REGRESSION MODEL - Definition, Scope and Division of Econometrics - Methodology of Econometric Research - Correlation Theory - The Simple Linear Regression Model: The Ordinary Least Squares Method (OLS) - Statistical Tests of Significance of the Estimates - Properties of the Least Square Estimates - Multiple Regression and other Extension of the Simple Linear Regression Model - Regression and Analysis of Variants - PART 2 ECONOMETRIC PROBLEMS; SECOND-ORDER TESTS OF THE ASSUMPTIONS OF THE LINEAR REGRESSION MODEL - The Assumptions of Randomness, Zero-mean, Constant Variants and Normality of the Disturbance Variable u - Autocorrelation - Multicolinearity - Errors in Variables, Time as a Variable, Dummy Variables, Grouped Data - Lagged Variables and Distributed Lag Models - PART 3 MODELS OF SIMULTANEOUS RELATIONSHIPS - Simultaneous-Equation Models - Indentification - Simultaneous-Equation Methods - Mixed Estimation Methods: the Method of Principal Components - Maximum Likelihood Methods - 3-Stage Least Squares - Testing the Forecasting Power of an Estimated Model - Choice of Econometric Technique - Monte Carlo Studies
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Books Methodist University Library Main General Stacks Fiction HB139.K66 (Browse shelf(Opens below)) 32465 Available

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Includes index

PART 1 CORRELATION THEORY: THE SIMPLE LINEAR REGRESSION MODEL - Definition, Scope and Division of Econometrics - Methodology of Econometric Research - Correlation Theory - The Simple Linear Regression Model: The Ordinary Least Squares Method (OLS) - Statistical Tests of Significance of the Estimates - Properties of the Least Square Estimates - Multiple Regression and other Extension of the Simple Linear Regression Model - Regression and Analysis of Variants
- PART 2 ECONOMETRIC PROBLEMS; SECOND-ORDER TESTS OF THE ASSUMPTIONS OF THE LINEAR REGRESSION MODEL - The Assumptions of Randomness, Zero-mean, Constant Variants and Normality of the Disturbance Variable u - Autocorrelation - Multicolinearity - Errors in Variables, Time as a Variable, Dummy Variables, Grouped Data - Lagged Variables and Distributed Lag Models -
PART 3 MODELS OF SIMULTANEOUS RELATIONSHIPS - Simultaneous-Equation Models - Indentification - Simultaneous-Equation Methods - Mixed Estimation Methods: the Method of Principal Components - Maximum Likelihood Methods - 3-Stage Least Squares - Testing the Forecasting Power of an Estimated Model - Choice of Econometric Technique - Monte Carlo Studies

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