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MyLab Economics without Pearson eText for Introduction to Econometrics, Global Edition

Online Resource
2019 | 4th edition
Pearson (Hersteller)
978-1-292-26451-6 (ISBN)
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Learn more about modern Econometrics with this comprehensive introduction to the field, featuring engaging applications and bringing contemporary theories to life. Introduction to Econometrics, 4th Edition, Global Edition by Stock and Watson is the ultimate introductory guide that connects modern theory with motivating, engaging applications.

The text ensures you get a solid grasp of this challenging subject's theoretical background, building on the philosophy that applications should drive the theory, not the other way around. The latest edition maintains the focus on currency, focusing on empirical analysis and incorporating real-world questions and data by using results directly relevant to the applications.

The text contextualises the study of Econometrics with a comprehensive introduction and review of economics, data, and statistics before proceeding to an extensive regression analysis studying the different variables and regression parameters. With a large data set increasingly used in Economics and related fields, a new chapter dedicated to Big Data will help you learn more about this growing and exciting area.

Sharing a variety of resources and tools to help your understanding and critical thinking of the topics introduced, such as General Interest boxes, or end-of-chapter, and empirical exercises and summaries, this industry-leading text will help you acquire a sophisticated knowledge of this fascinating subject.

Reach every student by pairing this text with Pearson MyLab® Economics

MyLab is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab® personalises the learning experience and improves results for each student.

If you would like to purchase both the physical text and MyLab Economics search for:

9781292264561 Introduction to Econometrics, 4th Edition, Global Edition with MyLab Economics

Package consists of:



9781292264455 Introduction to Econometrics, 4th Edition, Global Edition
9781292264516 Introduction to Econometrics, 4th Edition, Global Edition MyLab Economics
9780136879787 Introduction to Econometrics, 4th Edition, Global Edition Pearson eText

Pearson MyLab® Economics is not included. Students, if Pearson MyLab Economics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab® Economics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

James Harold Stock is an American economist, professor of economics, and vice provost for climate and sustainability at Havard University. Mark W. Watson is the Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs at Princeton University.

PART I: INTRODUCTION AND REVIEW

Economic Questions and Data
Review of Probability
Review of Statistics

PART II: FUNDAMENTALS OF REGRESSION ANALYSIS

Linear Regression with One Regressor
Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
Linear Regression with Multiple Regressors
Hypothesis Tests and Confidence Intervals in Multiple Regression
Nonlinear Regression Functions
Assessing Studies Based on Multiple Regression

PART III: FURTHER TOPICS IN REGRESSION ANALYSIS

Regression with Panel Data
Regression with a Binary Dependent Variable
Instrumental Variables Regression
Experiments and Quasi-Experiments
Prediction with Many Regressors and Big Data

PART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA

Introduction to Time Series Regression and Forecasting
Estimation of Dynamic Causal Effects
Additional Topics in Time Series Regression

PART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS

The Theory of Linear Regression with One Regressor
The Theory of Multiple Regression

Erscheint lt. Verlag 1.3.2019
Sprache englisch
Themenwelt Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 1-292-26451-9 / 1292264519
ISBN-13 978-1-292-26451-6 / 9781292264516
Zustand Neuware
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