Introduction to Econometrics, Global Edition eBook (4e) : 9781292264523

Introduction to Econometrics, Global Edition eBook (4e)

Stock,J et al
 
Edition
 
4
ISBN
 
9781292264523
ISBN 10
 
1292264527
Published
 
30/04/2019
Published by
 
Pearson Higher Ed USA
Pages
 
Format
 
 
Title type
eBook
$65.00
NZ/Pacific customers only
 
 
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Description

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About the book: For courses in introductory econometrics.Engaging applications bring the theory and practice of modern econometrics to life.

Ensure students grasp the relevance of econometrics with Introduction to Econometrics -- the text that connects modern theory and practice with motivating, engaging applications. The 4th EditionGlobal Edition, maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. The text incorporates real-world questions and data, and methods that are immediately relevant to the applications. With very large data sets increasingly being used in economics and related fields, a new chapter dedicated to Big Data helps students learn about this growing and exciting area. This coverage and approach make the subject come alive for students and helps them to become sophisticated consumers of econometrics.

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Table of contents
PART ONE Introduction and Review
Chapter 1 Economic Questions and Data
Chapter 2 Review of Probability
Chapter 3 Review of Statistic

PART TWO Fundamentals of Regression Analysis
Chapter 4 Linear Regression with One Regressor
Chapter 5 Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
Chapter 6 Linear Regression with Multiple Regressors
Chapter 7 Hypothesis Tests and Confidence Intervals in Multiple Regression
Chapter 8 Nonlinear Regression Functions
Chapter 9 Assessing Studies Based on Multiple Regression

PART THREE Further Topics in Regression Analysis
Chapter 10 Regression with Panel Data
Chapter 11 Regression with a Binary Dependent Variable
Chapter 12 Instrumental Variables Regression
Chapter 13 Experiments and Quasi-Experiments
Chapter 14 Prediction with Many Regressors and Big Data

PART FOUR Regression Analysis of Economic Time Series Data
Chapter 15 Introduction to Time Series Regression and Forecasting
Chapter 16 Estimation of Dynamic Causal Effects
Chapter 17 Additional Topics in Time Series Regression

PART FIVE Regression Analysis of Economic Time Series Data
Chapter 18 The Theory of Linear Regression with One Regressor
Chapter 19 The Theory of Multiple Regression
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