Analysis of Economic Data (4th Edition)
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Introduction to Econometrics, Student Value Edition, 4th Edition
Availability In Stock. With Free Saver Delivery. Facebook Twitter Pinterest Share. Description Analysis of Economic Data has, over three editions, become firmly established as a successful textbook for students studying data analysis whose primary interest is not in econometrics, statistics or mathematics.
It introduces students to basic econometric techniques and shows the reader how to apply these techniques in the context of real-world empirical problems. The book adopts a largely non-mathematical approach relying on verbal and graphical inuition and covers most of the tools used in modern econometrics research. New - Regression is now introduced with a parallel treatment of prediction and causal inference , to expose students to the different demands on how data can be collected i.
Keep students engaged with a full array of pedagogical material, tools, and resources Updated - General Interest boxes provide students with interesting insight into related topics, while also highlighting real-world studies. The 4th Edition now extends discussion of the historical origins of instrumental variables regression Chapter Chapter Introductions provide real-world context and a useful roadmap for each chapter to help students navigate the material.
Key Concept boxes at regular intervals and End-of-Chapter Summaries recap key ideas, helping students study more efficiently.
Updated - Exercise sets provide instructor flexibility in setting up assignments. Review the Concepts questions allow students to check their understanding. In addition to Exercises that provide intensive practice, Empirical Exercises allow students to apply what they have learned to answer real-world empirical questions. Reach every student with MyLab Teach your course your way: Your course is unique. Empower each learner: Each student learns at a different pace.
Personalized learning pinpoints the precise areas where each student needs practice, giving all students the support they need -- when and where they need it -- to be successful. Deliver trusted content: You deserve teaching materials that meet your own high standards for your course.
Expanded - The 4th Edition features more exercises covering more topics to allow instructors greater flexibility in assigning auto-graded exercises that provide instant, personalized feedback to students. Improve student results: When you teach with MyLab, student performance improves. New to This Edition. A new Chapter 14 is dedicated to big data and machine learning methods.
Chapter 17 extends the many-predictor focus of Chapter 14 to time series data. Using the dynamic factor model and a variable set of US quarterly macroeconomic data, students learn how to forecast future values — an important skill to have as professionals in the field of econometrics. Regression is now introduced with a parallel treatment of prediction and causal inference , to expose students to the different demands on how data can be collected i.
John Smith's - Analysis of Economic Data (PDF eBook) 4th Revised edition
Keep students engaged with a full array of pedagogical material, tools, and resources General Interest boxes provide students with interesting insight into related topics, while also highlighting real-world studies. Exercise sets provide instructor flexibility in setting up assignments. Reach every student with MyLab The 4th Edition features more exercises covering more topics to allow instructors greater flexibility in assigning auto-graded exercises that provide instant, personalized feedback to students.
Economic Questions and Data 2.
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Nonlinear Regression Functions 9. Regression with Panel Data Regression with a Binary Dependent Variable Instrumental Variables Regression Experiments and Quasi-Experiments Introduction to Time Series Regression and Forecasting Estimation of Dynamic Causal Effects The Theory of Multiple Regression. Share a link to All Resources. Instructor Resources.
Analysis of Economic Data
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