Introduction to Econometrics, Global Edition

Name: Introduction to Econometrics, Global Edition
Brand: Pearson Education
Price: 693 SEK
Availability: InStock

AvJames Stock,Mark Watson

Pearson Education

2023

693 kr

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Häftad

1 156 kr

Beskrivning

Introduction to Econometrics, Global Edition helps students understand how economists use data to answer important questions about the world around them. By combining econometric theory with engaging real-world applications, the text demonstrates how evidence-based analysis can be used to study economic relationships, evaluate policy decisions, and support informed decision-making. The application-driven approach ensures students first understand the economic questions being asked before learning the statistical tools needed to answer them, making econometrics both accessible and relevant.

Designed for introductory econometrics courses, the text develops students' analytical skills through practical examples, empirical research, and hands-on data analysis. Students learn how to assess the reliability of evidence, interpret regression results, and evaluate the strengths and limitations of empirical studies. Coverage extends from foundational regression techniques to modern topics such as big data, machine learning, causal inference, panel data, and time-series forecasting, providing a strong foundation for further study and professional application in economics, business, public policy, and data analytics.

Produktinformation

Märke:Pearson Education
Utgivningsdatum:2023-03-02
Språk:Engelska
Upplaga:4
Förlag:Pearson Education
EAN:9781292443171

Utforska kategorier

Mikroekonomi inom Ekonomi och Ledarskap

Mer om författaren

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

Innehållsförteckning

PART I: INTRODUCTION AND REVIEW Economic Questions and DataReview of ProbabilityReview of StatisticsPART 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 RegressionPART 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 DataPART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA Introduction to Time Series Regression and ForecastingEstimation of Dynamic Causal EffectsAdditional Topics in Time Series RegressionPART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS The Theory of Linear Regression with One RegressorThe Theory of Multiple Regression

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