I am currently investigating the effect of government regulations on Airbnb's key performance indicators (supply, demand, ADR and market share). Therefore I analyze three aspects:
1) three months before and three months after regulations;
2) comparison with the same period a year earlier; and,
3) change in type of supply (as most regulations relate to entire homes).
Now, I doubt if I am required to use statistical evidence (SPSS outcomes) to come to my conclusions or if tables/obervations in data are sufficient to come to a conclusion. Also, I am not sure which test is the most appropriate.
I thank you for any comment or advice.
This is an event study but you will still need to run an adequate statistical analysis. This is NOT a qualitative study. You should first operationalize the variables of interest and then choose the appropriate analysis.
Agreed. All the data variables are scaled and can therefore be analyzed through a statistical analysis. But, if I would statistically underpin if there is a significant change in demand/supply, an oberservation of mean change would be sufficient right?
Thank you for your answer!
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