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Introduction to Econometrics

Stock James Watson, Mark W.
Innbundet / 2018 / Engelsk

Produktdetaljer

ISBN
9780134461991
Publisert
2018-11-13
Utgave
4. utgave
Utgiver
Vendor
Pearson
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
800

Forfatter
Stock James
Watson, Mark W.

Introduction to Econometrics

Stock James Watson, Mark W.
Innbundet / 2018 / Engelsk
Stock James Watson, Mark W.
Innbundet / 2018 / Engelsk
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For courses in introductory econometrics. This package includes MyLab Economics.   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 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.   Also available with MyLab Economics By combining trusted author content with digital tools and a flexible platform, MyLab™ personalizes the learning experience and improves results for each student. Note: You are purchasing a standalone product; MyLab Economics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Economics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Economics, search for:   0134610989 / 9780134610986 Introduction to Econometrics Plus MyLab Economics with Pearson eText -- Access Card Package, 4/e     Package consists of: 0134461991 / 9780134461991 Introduction to Econometrics0134543939 / 9780134543932 MyLab Economics with Pearson eText -- Access Card -- for Introduction to Econometrics    
Les mer
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
Les mer
Hallmark features of this title A modern treatment gives students enough econometric theory to understand the strengths and limitations of the tools, making the fit between theory and applications as tight as possible.The mathematics is kept at a level appropriate for an introductory course (algebra only).Students learn how to use the tools of regression analysis and assess the validity of empirical analyses through a threefold process.Students learn how to work with modern applications and very large or nonstandard data sets, including applications that predict consumer choices.Chapter introductions provide real-world context and a useful roadmap to help students navigate the material.Key Concept boxes and End-of-Chapter Summaries recap key ideas, helping students study more efficiently.
Les mer
New and updated features of this title NEW: A new chapter 14 is dedicated to big data and machine learning methods that can help them have much lower out-of-sample prediction errors.NEW: Ch. 17 extends the many-predictor focus of Ch. 14 to time series data. Students learn how to forecast future values; an important skill to have as professionals in the field.NEW: Regression is now introduced with parallel treatment of prediction and causal inference. This highlights the different demands on how data can be collected (randomized vs. controlled variables).UPDATED: General Interest boxes provide students with interesting insight into related topics, while also highlighting real-world studies. Expanded discussions include the historical origins of instrumental variables regression (Ch.12).UPDATED: Review the Concepts questions and Exercises let students check their understanding. Empirical Exercises have them apply what they've learned to answer real-world empirical questions.
Les mer

Relaterte produkter

For courses in introductory econometrics. This package includes MyLab Economics.   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 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.   Also available with MyLab Economics By combining trusted author content with digital tools and a flexible platform, MyLab™ personalizes the learning experience and improves results for each student. Note: You are purchasing a standalone product; MyLab Economics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Economics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Economics, search for:   0134610989 / 9780134610986 Introduction to Econometrics Plus MyLab Economics with Pearson eText -- Access Card Package, 4/e     Package consists of: 0134461991 / 9780134461991 Introduction to Econometrics0134543939 / 9780134543932 MyLab Economics with Pearson eText -- Access Card -- for Introduction to Econometrics    
Les mer
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
Les mer
Hallmark features of this title A modern treatment gives students enough econometric theory to understand the strengths and limitations of the tools, making the fit between theory and applications as tight as possible.The mathematics is kept at a level appropriate for an introductory course (algebra only).Students learn how to use the tools of regression analysis and assess the validity of empirical analyses through a threefold process.Students learn how to work with modern applications and very large or nonstandard data sets, including applications that predict consumer choices.Chapter introductions provide real-world context and a useful roadmap to help students navigate the material.Key Concept boxes and End-of-Chapter Summaries recap key ideas, helping students study more efficiently.
Les mer
New and updated features of this title NEW: A new chapter 14 is dedicated to big data and machine learning methods that can help them have much lower out-of-sample prediction errors.NEW: Ch. 17 extends the many-predictor focus of Ch. 14 to time series data. Students learn how to forecast future values; an important skill to have as professionals in the field.NEW: Regression is now introduced with parallel treatment of prediction and causal inference. This highlights the different demands on how data can be collected (randomized vs. controlled variables).UPDATED: General Interest boxes provide students with interesting insight into related topics, while also highlighting real-world studies. Expanded discussions include the historical origins of instrumental variables regression (Ch.12).UPDATED: Review the Concepts questions and Exercises let students check their understanding. Empirical Exercises have them apply what they've learned to answer real-world empirical questions.
Les mer

Produktdetaljer

ISBN
9780134461991
Publisert
2018-11-13
Utgave
4. utgave
Utgiver
Vendor
Pearson
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
800

Forfatter
Stock James
Watson, Mark W.

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