Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models
The paper presents a new method to detect economic growth regimes based on time-series similarity analysis. The procedure builds upon a fuzzy concept-based model, the Jaccard Index, and a hierarchical clustering procedure. Having introduced the proposed method, we apply it to the time series of econ...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10035381/ |
| _version_ | 1811167514896367616 |
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| author | Jakub Bartak Agnieszka Jastrzebska |
| author_facet | Jakub Bartak Agnieszka Jastrzebska |
| author_sort | Jakub Bartak |
| collection | DOAJ |
| description | The paper presents a new method to detect economic growth regimes based on time-series similarity analysis. The procedure builds upon a fuzzy concept-based model, the Jaccard Index, and a hierarchical clustering procedure. Having introduced the proposed method, we apply it to the time series of economic growth and its proximate factors. Further, we study the stability of the obtained results under different parameters. The proposed procedure allows us to detect groups of countries that share a common growth performance and akin growth mechanisms. Simultaneously, the method let us identify countries that escape any fixed classifications. |
| first_indexed | 2024-04-10T16:11:45Z |
| format | Article |
| id | doaj.art-a248694108cd4c77b6c4c45e8f23069f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T16:11:45Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a248694108cd4c77b6c4c45e8f23069f2023-02-10T00:00:49ZengIEEEIEEE Access2169-35362023-01-0111116641167410.1109/ACCESS.2023.324185010035381Detecting Regimes of Economic Growth With Fuzzy Concept-Based ModelsJakub Bartak0https://orcid.org/0000-0001-7997-2432Agnieszka Jastrzebska1https://orcid.org/0000-0001-5361-5787Department of Process Management, Cracow University of Economics, Kraków, PolandFaculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, PolandThe paper presents a new method to detect economic growth regimes based on time-series similarity analysis. The procedure builds upon a fuzzy concept-based model, the Jaccard Index, and a hierarchical clustering procedure. Having introduced the proposed method, we apply it to the time series of economic growth and its proximate factors. Further, we study the stability of the obtained results under different parameters. The proposed procedure allows us to detect groups of countries that share a common growth performance and akin growth mechanisms. Simultaneously, the method let us identify countries that escape any fixed classifications.https://ieeexplore.ieee.org/document/10035381/Concept-based modelseconomic growthgrowth regimefuzzy sets |
| spellingShingle | Jakub Bartak Agnieszka Jastrzebska Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models IEEE Access Concept-based models economic growth growth regime fuzzy sets |
| title | Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models |
| title_full | Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models |
| title_fullStr | Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models |
| title_full_unstemmed | Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models |
| title_short | Detecting Regimes of Economic Growth With Fuzzy Concept-Based Models |
| title_sort | detecting regimes of economic growth with fuzzy concept based models |
| topic | Concept-based models economic growth growth regime fuzzy sets |
| url | https://ieeexplore.ieee.org/document/10035381/ |
| work_keys_str_mv | AT jakubbartak detectingregimesofeconomicgrowthwithfuzzyconceptbasedmodels AT agnieszkajastrzebska detectingregimesofeconomicgrowthwithfuzzyconceptbasedmodels |