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Using artificial intelligence to estimate the kink regression to analyze Gross Domestic Product and consumer budget | ||
| AL-Qadisiyah Journal For Administrative and Economic sciences | ||
| Volume 26, Special 1, February 2026, Pages 100-103 PDF (617.87 K) | ||
| DOI: 10.33916/qjae.2025.Specialissue0100103 | ||
| Authors | ||
| Tahir R. Dikheel* ; Rand Abdalriadha* | ||
| University of AL-Qadisiyah | ||
| Abstract | ||
| One statistical method for examining data with kink points is kink regression. One artificial intelligence technique, differential evolution, was used to analyze the Gross Domestic Product (GDP) and Consumer budget data for the years 1990–2023. The analysis's outcomes were compared using the Broyden-Fletcher-Goldfarb-Shanot algorithm, which revealed that the data from differential evolution produced superior results. | ||
| Keywords | ||
| kink regression; Gross Domestic Product; Differential Evolution; (BFGS)algorithm | ||
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