If you're qualified to review this/suggest a marginally better model
How will you know if you have a better model?
How much data do you have?
There are a lot of metrics of how good a model is (i.e. adjusted R-squared, AIC, SIC).
Edit to add: Backcasting would be a good measure.
76 data points, after adjustments.
As a part of my job, I recently created an econometric model. My boss wants someone to look over the math before its submitted internally throughout the company. We have a modest amount of money set aside for someone to audit the process.
The model is an ARMA(2,1) with seasonality, trend, and a dummy variable. There's no heteroscedasticity or serial correlation, but the Ramsey Reset test suggests a more different model might work better.
I currently have the data in an eviews file, so you'd need to do zero data entry.
There's a small chance this will be used in court, but none of the liability will be transferred to you. There should be an emphasis placed on parsimony. You'd have to sign a confidentiality agreement.
If you're qualified to review this/suggest a marginally better model, then this would be an easy way for you to make bank in a couple hours time. If it goes well, there might be more work like this in the future.
Let me know if you're interested.