Erschienen:
Cambridge, Mass: National Bureau of Economic Research, June 2014
Erschienen in:NBER working paper series ; no. w20263
Umfang:
1 Online-Ressource
Sprache:
Englisch
DOI:
10.3386/w20263
Identifikator:
Reproduktionsnotiz:
Hardcopy version available to institutional subscribers
Entstehung:
Anmerkungen:
Mode of access: World Wide Web
System requirements: Adobe [Acrobat] Reader required for PDF files
Beschreibung:
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