Dear all,
If you can, please, help me. I�m going to investigate banks' failure (in Ukraine) using duration analysis (with time varying covariates).
What data I have:
Quartile data on banks' population, with various characteristics of each bank. I know when a bank enters (ENTER=1) my sample, and when it leaves (FAIL=1) it. I defined the following vars:
1. TIME, (0..15). Describes a period of time when an observation takes place.
2. ENTER, 1 if a banks enters the sample this period. However, I didn�t set (maybe, mistakenly) ENTER=1 for the first period (TIME=1), and set ENTER=1 only when a bank enters a sample in TIME>1
3. FAIL, 1 if it went bankrupt that period
4. bank's ID and other characteristics
What have I done:
i. declared the data as duration:
stset TIME, failure(FAIL) id(ID) enter(ENTER)
ii. and estimated this model in this way:
streg X Y Z, dist(LOGLOGISTIC)
Question:
1. Unfortunately, I have no help on STATA (only help-file with syntax description), and I am not sure that I�m estimating what I would like to. If it possible, could you please tell whether I am right, and if not - suggest another way to investigate the data I have (but using duration models).
2. Also, I hope that STREG reports coefficients which influence hazard ratio (not duration time), and "+" just means that that variable influence positively the prob of failure. Is this true? And what's on earth this "Gamma" (and "1/ln_Gamma") at the bottom of the table? Does a negative sign before Gamma change the meaning of signs of reported coefficients? (if you know the exact functional form of hazard this model (loglogistic) estimates, with that gammas, etc, I will be really grateful to get it)
Thank you in advance, and sorry for stupid questions
PS. I am not sure that my Eng is good enough, that�s why I add a tentative structure of my set:
id time enter fail some_var
---------------------------------------------------------
bank_1 1 0 0 0 1
bank_2 3 0 0 0
bank_3 5 0 0 0
bank_1 3 1 0 1
bank_2 4 1 0 0
bank_3 2 1 0 1
bank_4 1 1 1 0
etc.
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