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I will run a panel data econometrics diagnostic audit in stata
About this Gig
Struggling with panel data diagnostics for your thesis, dissertation, or journal submission? I'm a PhD researcher in Economics specializing in applied econometrics, panel data analysis, and time series methods.
I'll run a complete diagnostic audit on your regression model, including tests for multicollinearity (VIF), model specification (Hausman test), autocorrelation (Wooldridge test), and cross-sectional dependence (Pesaran CD test). You'll receive a clear, well-documented report explaining what each result means and how to address any issues found, written so it's usable directly in your methodology section or thesis defense.
I work primarily in Stata, with strong grounding in econometric theory from published research (peer-reviewed publication in Environmental Quality Management, Wiley). Whether you're preparing for a committee review, journal submission, or just need a second set of expert eyes on your model before you proceed, I deliver rigorous, transparent, and clearly explained work.
Send your dataset and model specification, and let's make sure your results hold up.
FAQ
Q: What software do you work in?
A: Primarily Stata. I can also work with R or Python outputs if that's your preferred software.
What do I need to provide?
A: Your dataset (Excel, CSV, or Stata .dta file) and your model specification — the variables and estimation method you're using.
Will you help me interpret the results for my thesis or paper?
A: Yes — every report includes plain-English interpretation, not just raw test statistics.
Is my data kept confidential?
A: Yes, your data and research are treated as strictly confidential and used only for this project.
