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.
“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