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Introduction to Econometrics, Global Edition

Published by Pearson (March 2, 2023) © 2022

James Stock | Mark Watson
    Pearson eTextbook ( 1 year access )
    €41,99
    ISBN-13: 9781292443171

    Introduction to Econometrics, Global Edition ,4th edition

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    Language: English

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    PART I: INTRODUCTION AND REVIEW

    1. Economic Questions and Data
    2. Review of Probability
    3. Review of Statistics

    PART II: FUNDAMENTALS OF REGRESSION ANALYSIS

    1. Linear Regression with One Regressor
    2. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
    3. Linear Regression with Multiple Regressors
    4. Hypothesis Tests and Confidence Intervals in Multiple Regression
    5. Nonlinear Regression Functions
    6. Assessing Studies Based on Multiple Regression

    PART III: FURTHER TOPICS IN REGRESSION ANALYSIS

    1. Regression with Panel Data
    2. Regression with a Binary Dependent Variable
    3. Instrumental Variables Regression
    4. Experiments and Quasi-Experiments
    5. Prediction with Many Regressors and Big Data

    PART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA

    1. Introduction to Time Series Regression and Forecasting
    2. Estimation of Dynamic Causal Effects
    3. Additional Topics in Time Series Regression

    PART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS

    1. The Theory of Linear Regression with One Regressor
    2. The Theory of Multiple Regression
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