A Comparison of Programming Languages in Economics

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.

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Year of publication:	2014-06
Authors:	Aruoba, S. Boragan ; Fernandez-Villaverde, Jesus
Institutions:	National Bureau of Economic Research (NBER)

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Extent:	application/pdf
Series:	NBER Working Papers.
Type of publication:	Book / Working Paper
Notes:	EFG The price is Paper copy available by mail Number 20263
Classification:	C0 - Mathematical and Quantitative Methods. General ; E0 - Macroeconomics and Monetary Economics. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010969252