Introduction to Econometrics, Global Edition
Pearson Education Limited (Verlag)
978-1-292-26445-5 (ISBN)
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.
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9781292264561 Introduction to Econometrics, 4th Edition, Global Edition with MyLab Economics
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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
| Erscheinungsdatum | 30.04.2019 |
|---|---|
| Verlagsort | Harlow |
| Sprache | englisch |
| Maße | 200 x 251 mm |
| Gewicht | 1460 g |
| Themenwelt | Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie |
| ISBN-10 | 1-292-26445-4 / 1292264454 |
| ISBN-13 | 978-1-292-26445-5 / 9781292264455 |
| Zustand | Neuware |
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