TESTING THE STATISTICAL SIGNIFICANCE OF DYNAMIC MODELS IN ECONOMICS
DOI:
https://doi.org/10.5281/zenodo.18053339Keywords:
dynamic models, statistical significance, autoregressive distributed lag, regional growth, time series analysisAbstract
Dynamic econometric models are widely used to analyze economic processes evolving over time. This paper
investigates methods for testing the statistical significance of dynamic models and applies them to regional economic
data from the Namangan region of Uzbekistan. Using annual data on gross regional product (GRP), investment in fixed
capital, and employment for 2005–2023, we estimate an autoregressive distributed lag (ARDL) model and conduct
individual and joint significance tests. The results confirm statistically significant dynamic relationships and highlight the
importance of lag effects in regional growth analysis
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