Stata Panel Regression Guidance
Budget: $30 – $250 USD
I am in the final stretch of a finance-focused panel-data study and need expert econometric support in Stata to ensure the empirical work is rock-solid and clearly presented.
Scope of the task
Enhancing the written parts ( literature review and methodology)
• Model choice: walk through Fixed- versus Random-Effects selection, justify the final specification with the Hausman test and any additional metrics that fit the data.
• Estimation: run the main regressions plus requested robustness checks, supplying a clean, fully annotated do-file so every step is reproducible.
• Diagnostics: address heteroskedasticity, autocorrelation, cross-section dependence and multicollinearity; propose remedies where needed.
• Interpretation: translate coefficients and test statistics into plain-language insights that match current corporate-finance literature.
• Write-up support: tighten the methodology section and craft the results/conclusion narrative so it dovetails with my existing literature review.
Deliverables
1. Annotated Stata do-file (with log).
2. Brief technical note summarising model selection and diagnostics.
3. Drafted or marked-up sections for Methodology, Results and Conclusions (Word/LaTeX accepted).
Acceptance criteria
• All code executes without errors on Stata 17.
• Explanations are clear enough for inclusion in an academic thesis.
• Links between findings and cited papers are explicit and properly referenced.
The dataset and current draft will be shared upon award; confidentiality is expected throughout. Looking forward to collaborating on a rigorous, publication-ready analysis.
Scope of the task
Enhancing the written parts ( literature review and methodology)
• Model choice: walk through Fixed- versus Random-Effects selection, justify the final specification with the Hausman test and any additional metrics that fit the data.
• Estimation: run the main regressions plus requested robustness checks, supplying a clean, fully annotated do-file so every step is reproducible.
• Diagnostics: address heteroskedasticity, autocorrelation, cross-section dependence and multicollinearity; propose remedies where needed.
• Interpretation: translate coefficients and test statistics into plain-language insights that match current corporate-finance literature.
• Write-up support: tighten the methodology section and craft the results/conclusion narrative so it dovetails with my existing literature review.
Deliverables
1. Annotated Stata do-file (with log).
2. Brief technical note summarising model selection and diagnostics.
3. Drafted or marked-up sections for Methodology, Results and Conclusions (Word/LaTeX accepted).
Acceptance criteria
• All code executes without errors on Stata 17.
• Explanations are clear enough for inclusion in an academic thesis.
• Links between findings and cited papers are explicit and properly referenced.
The dataset and current draft will be shared upon award; confidentiality is expected throughout. Looking forward to collaborating on a rigorous, publication-ready analysis.