Overview
All statistical analyses for this research must be conducted exclusively using STATA. The previously attached paper used Gretl; however, I require the entire analysis to be redone and fully standardized using STATA.
If any adjustments to the dataset, model specification, variables, or methodology are necessary to ensure the accuracy, robustness, and validity of the results, you may proceed accordingly. However, you must inform me in advance before implementing any major changes. All results must be carefully verified and validated to ensure correctness and consistency.
The revised version must be completely free from AI-generated text and fully original. The paper must also be entirely free from any form of plagiarism (academic misconduct). Proper in-text citations and referencing are mandatory. All sources must be clearly cited within the text and fully documented in the reference list according to the required citation style.
Official confirmation of originality and AI-detection results through Turnitin is required before final submission.
All datasets must be provided in Excel format, along with the corresponding STATA files. The final delivery must include:
- The raw dataset in Excel format
- The STATA dataset (.dta file)
- The complete do-file containing all commands used
- All statistical outputs (clearly labeled and properly organized)
A detailed, step-by-step explanation of the entire STATA process is required — starting from data import and cleaning, to running statistical tests, conducting diagnostic checks, and interpreting results. Each command must be clearly explained, including its purpose and methodological justification, to ensure full transparency and reproducibility.
All research data must be obtained from reliable and reputable sources and properly cited. Any studies referenced in the literature review must be drawn from credible, peer-reviewed academic journals indexed in recognized databases such as Scopus or Web of Science, and must be fully documented according to the required citation style.