Dear stata users and experts,
My data is firm year panel data, i.e., I have observations at firm level and across years. These firms are from different industries identified by industry SIC code.
I have firm specific characteristics, e.g. its inventory turnover ratio (or other financial ratio),
My hypothesis is that one of such ratios could be persistent over time either at firm level or at industry level.
How do I show that the ratios are persistent or it is not?
Let me give you an example, say firm A is in retail industry, its inventory turnover ratio hovers around 10 for the last 14 years (some years slightly higher than 10, others slightly lower than 10), that is quite persistent.
say, the retail industry average inventory turnover is 9 over last 14 years,
given that I have thousands of firms, and over 30 industries, I can't show this by report each firm or industry's mean .
I want to show it in a more efficient way. I know posters here are statisticians, cliometrician, etc. Can you suggest something or a paper I can follow their method ?
Thanks a lot,
Rochelle
Related Posts with How to show persistence using panel data
Dataset for choice modul (choice based conjoint analysis)Hey all, for our masterthesis we would like to conduct a choice based conjoint analysis. First of a…
interpreting ordered logit regression results odds ratioHello everyone, I am currently interperting the results from an ordered logit regression, the follo…
metan: A comprehensive update to the popular meta-analysis command With thanks as ever to Kit Baum, I am excited to announce a major update to the user-written comman…
Generate several new variables at the same timeHi, I have a dataset that has a los of isin codes in it and I need to adjust the total return for e…
Count total number of observations bigger than each value in other variableI have a cross-section of data on school applications. Each student applies at multiple schools and …
Subscribe to:
Post Comments (Atom)
0 Response to How to show persistence using panel data
Post a Comment