SYSTEMATIC REVIEW OF LITERATURE: STATISTICAL APPROACHES AND ECONOMETRIC MODELS IN BUSINESS DEVELOPMENT

SYSTEMATIC REVIEW OF LITERATURE: STATISTICAL APPROACHES AND ECONOMETRIC MODELS IN BUSINESS DEVELOPMENT

Authors

  • Saidova Marhabo Khabibullo kizi Doctoral Candidate (DSc) at the Institute for Advanced Training and Statistical Research E-mail: [email protected] ORCID: https://orcid.org/0000-0002-3252-9967

Keywords:

Business development, statistical evaluation, econometric modeling, innovation, economic forecasting

Abstract

This study examines the role of statistical evaluation and econometric modeling in analyzing business development processes. These methodologies are essential for understanding economic relationships, forecasting trends, and enabling data-driven decision-making. The research highlights their widespread application in developed economies, emphasizing time-series analysis, regression models, and structural equation modeling. Empirical studies demonstrate their effectiveness in employment generation, innovation impacts, and policy evaluation.

References

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Published

2025-01-30

How to Cite

SYSTEMATIC REVIEW OF LITERATURE: STATISTICAL APPROACHES AND ECONOMETRIC MODELS IN BUSINESS DEVELOPMENT. (2025). Scientific Journal of Actuarial Finance and Accounting, 5(01), 159-164. https://doi.org/10.55439/AFA/vol5_iss01/883