Mario Miranda Named AAEA Fellow

Mario Miranda teaching a class

Mario Miranda has been named a 2017 Agricultural & Applied Economics Association (AAEA) Fellow. He is one of five members who will be honored and recognized at the 2017 AAEA Annual Meeting in July, 2017 in Chicago, Illinois.

Miranda was nominated by Joseph W. Glauber, International Food Policy Research Institute, and J. Scott Shonkwiler, University of Georgia. Their nomination cited his unique and pioneering research in the area of computational economics and risk management, most notable being Miranda’s path-breaking work in computational economics, exemplified by his book, Applied Computational Economics and Finance. This book – published by MIT Press, one of the leading publishers of advanced books in Economics – received endorsements from internationally renowned economists and has been adopted as a required or supplementary textbook in graduate economics courses at many leading universities. According to Google Scholar the book has received 867 citations through 2016.
 
In addition, Miranda is the lead developer of CompEcon: A Matlab Toolbox for Analysis of Computational Economic and Financial Models. Designed for the numerical analysis of dynamic economic and financial models, it has evolved into a lasting contribution to the economist’s toolbox.
 
Miranda’s professional record exhibits a rare balance of path-breaking academic research, high-quality applied research, and innovative classroom teaching. Agricultural and Resource Economist Wally Thurman’s quote included with the nomination reads, “Miranda is one of those rare economists who makes fundamental contributions to the professional toolkit – and educating his colleagues in their uses – while at the same time engaging in practical relevant substantive research. He is a methodologist, teacher, and researcher of the first rank.”
 
Miranda has also made significant practical research contributions in agricultural policy, including more than two dozen stochastic computer simulation models that have been used for policy and market analyses by the U.S. Department of Agriculture.