Srovnávací analýza Dynare v Matlabu a Pythonu: Posouzení možností a omezení Pythonu pro modelování DSGE

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dc.contributor.authorRottenbornová, Lucie
dc.contributor.authorTaušl Procházková, Petra
dc.contributor.authorMartinčík, David
dc.contributor.editorMartinčíková Sojková, Olga
dc.date.accessioned2025-02-19T09:51:01Z
dc.date.available2025-02-19T09:51:01Z
dc.date.issued2024
dc.description.abstract-translatedThis article focuses on the human desire to predict future economic events and the role of modern economic models in this endeavor. Historically, economic modeling relied on descriptive methods and analysis of historical data, but as economies became more complex, these approaches revealed their limitations. In response, structural economic models (SEMs) and dynamic stochastic general equilibrium (DSGE) models emerged, becoming essential tools for understanding macroeconomic phenomena. This paper investigates whether Python, supported by a large open-source developer community, can compete with the established Dynare tool in MATLAB for DSGE modeling. Python is widely praised for its versatility and user-friendly environment, which has contributed to its growing popularity in economics and finance. Its open-source nature also makes it accessible to a broader audience. In contrast, MATLAB requires a paid license, which can be a limiting factor for many users. While Octave exists as a free alternative, it lacks the computational efficiency and robustness of MATLAB. Our comparison found that while Python, specifically DSGEpy library (Amarante, 2019) (inspired by Dynare), currently cannot match the computational speed and precision of Dynare in MATLAB, it offers a more intuitive and flexible environment for beginners. Python’s open-source framework also allows for customization and future development, providing opportunities for enthusiasts to build on existing libraries and eventually rival more traditional tools like Dynare. Thus, Python may be the preferred choice for those starting in economic modeling, while MATLAB remains a better option for high-performance needs.en
dc.description.sponsorshipThis paper was created within the project SGS-2024-007 Transformation of business economics and management through digitalization and sustainability, University of West Bohemia in Pilsen.en
dc.format13 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.isbn978-80-261-1271-6
dc.identifier.urihttp://hdl.handle.net/11025/58292
dc.language.isocscs
dc.publisherFaculty of Economics University of West Bohemiaen
dc.rights© Authors of papersen
dc.rights.accessopenAccessen
dc.subjectDSGEcs
dc.subjectdynamická stochastická obecná rovnováhacs
dc.subjectDynarecs
dc.subjectMATLABcs
dc.subjectPythoncs
dc.subjectDSGEpycs
dc.subject.translatedDSGEen
dc.subject.translateddynamic stochastic general equilibriumen
dc.subject.translatedDynareen
dc.subject.translatedMATLABen
dc.subject.translatedPythonen
dc.subject.translatedDSGEpyen
dc.titleSrovnávací analýza Dynare v Matlabu a Pythonu: Posouzení možností a omezení Pythonu pro modelování DSGEcs
dc.title.alternativeA comparative analysis of Dynare in Matlab and Python: Assessing the capabilities and limitations of Python for DSGE modelingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer revieweden
dc.type.versionpublishedVersionen
local.files.count2*
local.files.size1004176*
local.has.filesyes*

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