The statistical tool will depend on the nature of data you're gonna use.
If it's fully collected from secondary sources and it's time series in nature, you may prefer Eviews. On the other hand, if your data is panel in nature you can use STATA.
Both tools are able analyze both nature of data. However, depending of person different people prefer each tool.
The statistical tool will depend on the nature of data you're gonna use.
If it's fully collected from secondary sources and it's time series in nature, you may prefer Eviews. On the other hand, if your data is panel in nature you can use STATA.
Both tools are able analyze both nature of data. However, depending of person different people prefer each tool.
Like Professor Ahmed's response, it depends on the data types. Assuming that (since it is financial data) it is likely ordinal or interval; I would use a pre-post quasi-experimental design. [Again assuming that you have pre-crisisand post- crisis data]. I would run propensity testing to evaluate any pre-crisis data bias. Then if none is present, you could do a matched T-Test pre-post. Or if there are numerous banks an anova or mancova could be run. I would also like to see what discriminant function differences there might be.
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