A Comparison of Programming Languages in Economics

S. Boragan Aruoba and Jesus Fernandez-Villaverde

No 20263, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We solve the stochastic neoclassical growth model, the workhorse of modern macroeconomics, using C++11, Fortran 2008, Java, Julia, Python, Matlab, Mathematica, and R. We implement the same algorithm, value function iteration with grid search, in each of the languages. We report the execution times of the codes in a Mac and in a Windows computer and briefly comment on the strengths and weaknesses of each language.

JEL-codes: C0 E0 (search for similar items in EconPapers)
Date: 2014-06
New Economics Papers: this item is included in nep-cmp, nep-dge and nep-mac
Note: EFG
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Citations: View citations in EconPapers (4)

Published as Journal of Economic Dynamics and Control Volume 58, September 2015, Pages 265-273

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