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Econometric Analysis 5판 솔루션 (저자 Greene , 5th ed)
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자료설명
목차/차례
Chapter 1 Introduction 1
Chapter 2 The Classical Multiple Linear Regression Model 2
Chapter 3 Least Squares 3
Chapter 4 Finite-Sample Properties of the Least Squares Estimator 7
Chapter 5 Large-Sample Properties of the Least Squares and Instrumental Variables Estimators 14
Chapter 6 Inference and Prediction 19
Chapter 7 Functional Form and Structural Change 23
Chapter 8 Specification Analysis and Model Selection 30
Chapter 9 Nonlinear Regression Models 32
Chapter 10 Nonspherical Disturbances - The Generalized Regression Model 37
Chapter 11 Heteroscedasticity 41
Chapter 2 The Classical Multiple Linear Regression Model 2
Chapter 3 Least Squares 3
Chapter 4 Finite-Sample Properties of the Least Squares Estimator 7
Chapter 5 Large-Sample Properties of the Least Squares and Instrumental Variables Estimators 14
Chapter 6 Inference and Prediction 19
Chapter 7 Functional Form and Structural Change 23
Chapter 8 Specification Analysis and Model Selection 30
Chapter 9 Nonlinear Regression Models 32
Chapter 10 Nonspherical Disturbances - The Generalized Regression Model 37
Chapter 11 Heteroscedasticity 41
Chapter 12 Serial Correlation 49
Chapter 13 Models for Panel Data 53
Chapter 14 Systems of Regression Equations 63
Chapter 15 Simultaneous Equations Models 72
Chapter 16 Estimation Frameworks in Econometrics 78
Chapter 17 Maximum Likelihood Estimation 84
Chapter 18 The Generalized Method of Moments 93
Chapter 19 Models with Lagged Variables 97
Chapter 20 Time Series Models 101
Chapter 21 Models for Discrete Choice 1106
Chapter 2
Chapter 13 Models for Panel Data 53
Chapter 14 Systems of Regression Equations 63
Chapter 15 Simultaneous Equations Models 72
Chapter 16 Estimation Frameworks in Econometrics 78
Chapter 17 Maximum Likelihood Estimation 84
Chapter 18 The Generalized Method of Moments 93
Chapter 19 Models with Lagged Variables 97
Chapter 20 Time Series Models 101
Chapter 21 Models for Discrete Choice 1106
Chapter 2
본문/내용
Solutions Manual
Econometric Analysis
Fifth Edition
William H. Greene
New York University
Prentice Hall, Upper Saddle River, New Jersey 07458
Contents and Notation
Chapter 1 Introduction 1 Chapter 2 The Classical Multiple Linear Regression Model 2 Chapter 3 Least Squares 3 Chapter 4 Finite-Sample Properties of the Least Squares Estimator 7 Chapter 5 Large-Sample Properties of the Least Squares and Instrumental Variables Estimators 14 Chapter 6 Inference and Prediction 19 Chapter 7 Functional Form and Structural Change 23 Chapter 8 Specification Analysis and Model Selection 30 Chapter 9 Nonlinear Regression Models 32 Chapter 10 Nonspherical Disturbances - The Generalized Regression Model 37 Chapter 11 Heteroscedasticity 41 Chapter 12 Serial Correlation 49 Chapter 13 Models for Panel Data 53 Chapter 14 Systems of Regression Equations 63 Chapter 15 Simultaneous Equations Models 72 Chapter 16 Estimation Frameworks in Econometrics 78 Chapter 17 Maximum Likelihood Estimation 8…(생략)
Econometric Analysis
Fifth Edition
William H. Greene
New York University
Prentice Hall, Upper Saddle River, New Jersey 07458
Contents and Notation
Chapter 1 Introduction 1 Chapter 2 The Classical Multiple Linear Regression Model 2 Chapter 3 Least Squares 3 Chapter 4 Finite-Sample Properties of the Least Squares Estimator 7 Chapter 5 Large-Sample Properties of the Least Squares and Instrumental Variables Estimators 14 Chapter 6 Inference and Prediction 19 Chapter 7 Functional Form and Structural Change 23 Chapter 8 Specification Analysis and Model Selection 30 Chapter 9 Nonlinear Regression Models 32 Chapter 10 Nonspherical Disturbances - The Generalized Regression Model 37 Chapter 11 Heteroscedasticity 41 Chapter 12 Serial Correlation 49 Chapter 13 Models for Panel Data 53 Chapter 14 Systems of Regression Equations 63 Chapter 15 Simultaneous Equations Models 72 Chapter 16 Estimation Frameworks in Econometrics 78 Chapter 17 Maximum Likelihood Estimation 8…(생략)
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