A Comparison of Programming Languages in EconomicsS. Borağan Aruoba, Jesús Fernández-Villaverde
NBER Working Paper No. 20263 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.
Supplementary materials for this paper: Machine-readable bibliographic record - MARC, RIS, BibTeX Document Object Identifier (DOI): 10.3386/w20263 Published: Journal of Economic Dynamics and Control Volume 58, September 2015, Pages 265-273 Users who downloaded this paper also downloaded* these:
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