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 Edition9781292264516 Introduction to Econometrics, 4th Edition, Global Edition MyLab Economics9780136879787 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.
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PART I: INTRODUCTION AND REVIEW Economic Questions and DataReview of ProbabilityReview of Statistics PART II: FUNDAMENTALS OF REGRESSION ANALYSIS Linear Regression with One RegressorRegression with a Single Regressor: Hypothesis Tests and Confidence IntervalsLinear Regression with Multiple RegressorsHypothesis Tests and Confidence Intervals in Multiple RegressionNonlinear Regression FunctionsAssessing Studies Based on Multiple Regression PART III: FURTHER TOPICS IN REGRESSION ANALYSIS Regression with Panel DataRegression with a Binary Dependent VariableInstrumental Variables RegressionExperiments and Quasi-ExperimentsPrediction with Many Regressors and Big Data PART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA Introduction to Time Series Regression and ForecastingEstimation of Dynamic Causal EffectsAdditional Topics in Time Series Regression PART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS The Theory of Linear Regression with One RegressorThe Theory of Multiple Regression
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Hallmark Features of This Title Keep students engaged with an array of pedagogical material, tools, and resources. Chapter Introductions provide real-world context and a useful roadmap to help students navigate the material.General Interest boxes provide insight into related topics whilst also highlighting real-world studies. End-of-Chapter Summaries outline key ideas, helping students study more efficiently.'Review the Concepts' questions challenge students to check their understanding and prompt group discussion in class. Prepare students to work with modern applications and large data sets. Applications include predicting consumer choices and work with non-standard data.Empirical Exercises allow students to apply what they have learned to answer real-world empirical questions.
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Introducing new and updated material that support your students' understanding of the topic. New section in Chapter 12 discusses whether economic institutions impact economic development, studying measures of potential settler mortality as valid instruments for measuring the effects in addition to TSLS and OLS.New, Chapter 14, dedicated to big data and machine learning methods, introduces techniques beyond ordinary to your students that can help them havemuch lower out-of-sample prediction errors.Chapter 17 extends the many-predictor focus of Chapter 14 to time series data. Using the dynamic factor model and a 131-variable set of US quarterly macroeconomic data, students learn how to forecast future values - an important skill to have as professionals in the field. Updated structure and engaging content that encourage your students' critical understanding. Regression is now introduced with a parallel discussion of prediction and causal inference to expose students to the different demands of collection data (i.e., randomized vs. controlled variables).New General Interest Boxes, provide further insight into topics related to Econometrics, such as the invention of Instrumental Variables Regression (IVR).Updated, extensive discussion covers the historical origins of instrumental variables regression in Chapter 12.
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Produktdetaljer

ISBN
9781292264455
Publisert
2019-05-13
Utgave
4. utgave
Utgiver
Vendor
Pearson Education Limited
Vekt
1460 gr
Høyde
251 mm
Bredde
200 mm
Dybde
25 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
800

Biographical note

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.