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Probability and Statistics for Economics and Business: An Introduction Using R

Probability and Statistics for Economics and Business: An Introduction Using R


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About the Book

A modern introduction to probability and statistics for economics and business undergraduates, using the R programming language. A modern introduction to probability and statistics for economics and business undergraduates, using the R programming language. Designed for an introductory course in probability and statistics for economics and business undergraduates, this comprehensive textbook introduces students to the R statistical programming language. While covering the standard topics found in traditional textbooks, Jason Abrevaya takes a modern approach that directly integrates R, highlights the use of simulation methods, and provides a general treatment of statistical inference for asymptotically normal estimators. Coverage emphasizes concepts that are useful to economists and data analysts, including general statistical-inference results that apply well beyond averages and variances. The book offers a higher level of mathematical rigor than traditional business statistics textbooks to prepare students for future coursework and for a professional climate where employers increasingly emphasize competence in data science and statistics. Introduces students to the R statistical programming language Uses real-world examples and datasets related to economics and business Provides extensive coverage of simulation methods Focuses on large-sample (asymptotic) results Is classroom-tested at Emory University, the University of Texas at Austin, Princeton University, and elsewhere Suits undergraduate and graduate students in business, economics, data science, and statistics with knowledge of calculus Offers companion website and extensive instructor resources

About the Author :
Jason Abrevaya is Professor of Economics at the University of Texas at Austin and is the holder of the Murray S. Johnson Chair in Economics. He has served on editorial boards for several leading econometrics journals, including the Journal of Econometrics, the Journal of Applied Econometrics, and the Journal of Business and Economic Statistics, and was a founding coeditor of the Journal of Econometric Methods.

Review :
“While there are many books covering introductory probability and statistics for economics/business students, the new text by Jason Abrevaya stands out in three ways. First, the text is more rigorous than most of its competitors. Second, it emphasizes large-sample and simulation methods for statistical inference and thus is compatible with modern practice. And third, it teaches and effectively uses R to give students insight into important (and sometimes confusing) concepts and provides them with practical experience for later empirical work. This is destined to become a leading text in the field.” —Mark W. Watson, Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs, Princeton University


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Product Details
  • ISBN-13: 9780262553360
  • Publisher: MIT Press Ltd
  • Publisher Imprint: MIT Press
  • Height: 254 mm
  • No of Pages: 660
  • Returnable: Y
  • Width: 203 mm
  • ISBN-10: 0262553368
  • Publisher Date: 25 Nov 2025
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: An Introduction Using R


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