A comparison of programming languages in macroeconomics

S. Boragan Aruoba and Jesus Fernandez-Villaverde

Journal of Economic Dynamics and Control, 2015, vol. 58, issue C, 265-273

Abstract: We solve the stochastic neoclassical growth model, the workhorse of modern macroeconomics, using C++14, Fortran 2008, Java, Julia, Python, Matlab, Mathematica, and R. We implement the same algorithm, value function iteration, 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.

Keywords: Dynamic equilibrium economies; Computational methods; Programming languages (search for similar items in EconPapers)
JEL-codes: C63 C68 E37 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:58:y:2015:i:c:p:265-273

DOI: 10.1016/j.jedc.2015.05.009

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