I am trying to run the biprobit regression, using the following syntax:
biprobit (dep = east year02 east02 year17 east17 hhtransfers01 age) (hhtransfers01 = civilservant selfemployed whitecollar unemployed retired maternity ln_hhwage east year02 east02 year17 east17 age) if year02==1|year97==1|year17==1, robust cluster(pid)
The dependent variable 'dep' is a dummy, the endogenous variable 'hhtransfers01' is also a dummy, and I have omitted several additional covariates because "input statement exceeds linesize limit".
The example dataset (here are the data from 'first-stage regression', so the dependent variable is hhtransfers01):
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(hhtransfers01 whitecollar unemployed retired maternity ln_hhwage east year02 east02 year17 east17 age age_sq college vocational secondaryschool intermediate_tech male) byte nrchild double adults float(married divorced marriedsep widowed) 0 0 0 0 0 10.094948 0 0 0 0 0 38 1444 0 0 1 0 1 1 3 1 0 0 0 1 0 0 1 0 2.3025851 1 0 0 0 0 75 5625 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 9.562414 0 0 0 0 0 26 676 0 1 0 0 1 2 6 1 0 0 0 1 0 0 0 0 9.554104 1 0 0 0 0 41 1681 0 1 0 0 0 0 6 1 0 0 0 1 0 0 1 0 2.3025851 0 0 0 0 0 73 5329 0 1 0 0 1 0 2 1 0 0 0 0 1 0 0 0 9.895108 1 0 0 0 0 23 529 0 1 0 0 0 0 3 0 0 0 0 0 1 0 0 0 9.987223 0 0 0 0 0 38 1444 0 1 0 0 1 3 2 1 0 0 0 0 0 0 0 0 10.175197 0 0 0 0 0 58 3364 0 1 0 0 0 0 2 1 0 0 0 1 0 0 0 0 9.704279 0 0 0 0 0 32 1024 0 1 0 0 0 2 10 1 0 0 0 1 0 0 1 0 2.3025851 0 0 0 0 0 71 5041 0 1 0 0 0 0 6 1 0 0 0 0 0 0 0 0 9.082587 1 0 0 0 0 46 2116 1 0 0 0 0 0 6 1 0 0 0 1 1 0 0 0 9.688937 0 0 0 0 0 37 1369 0 1 0 0 1 3 7 1 0 0 0 1 0 0 1 0 2.3025851 0 0 0 0 0 73 5329 0 1 0 0 0 0 1 0 0 0 1 1 0 0 1 0 9.179333 1 0 0 0 0 66 4356 1 0 0 0 1 0 4 1 0 0 0 1 0 1 0 0 8.138702 1 0 0 0 0 32 1024 0 1 0 0 1 0 3 0 0 0 0 0 0 0 0 0 10.369502 1 0 0 0 0 19 361 0 0 1 0 0 1 3 0 0 0 0 1 0 0 0 0 9.156665 1 0 0 0 0 42 1764 0 1 0 0 1 1 3 1 0 0 0 1 1 0 0 0 10.060232 1 0 0 0 0 54 2916 1 0 0 0 0 0 4 1 0 0 0 1 0 0 1 0 2.3025851 1 0 0 0 0 67 4489 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 8.917277 1 0 0 0 0 48 2304 0 1 0 0 1 0 3 1 0 0 0 1 0 0 0 0 8.872163 0 0 0 0 0 62 3844 0 0 1 0 1 1 6 1 0 0 0 0 0 0 0 0 9.927752 1 0 0 0 0 21 441 0 1 0 0 1 0 4 0 0 0 0 1 0 0 0 0 10.069217 0 0 0 0 0 32 1024 0 1 0 0 1 0 8 1 0 0 0 0 0 0 0 0 9.736532 0 0 0 0 0 56 3136 0 0 1 0 0 0 3 1 0 0 0 0 0 0 0 0 9.859391 1 0 0 0 0 37 1369 0 1 0 0 1 2 2 1 0 0 0 1 0 0 1 0 2.3025851 1 0 0 0 0 66 4356 0 1 0 0 0 0 2 1 0 0 0 1 0 0 0 0 10.302567 1 0 0 0 0 21 441 0 0 1 0 1 0 3 0 0 0 0 0 1 0 0 0 9.983632 0 0 0 0 0 25 625 0 1 0 0 1 0 5 0 0 0 0 1 1 0 0 0 2.3025851 0 0 0 0 0 37 1369 1 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 9.814597 0 0 0 0 0 29 841 0 1 0 0 1 5 5 1 0 0 0 0 1 0 0 0 10.741157 0 0 0 0 0 52 2704 0 1 0 0 0 1 2 1 0 0 0 0 1 0 0 0 9.928025 1 0 0 0 0 47 2209 0 1 0 0 0 0 2 1 0 0 0 0 1 0 0 0 10.469828 1 0 0 0 0 38 1444 0 1 0 0 0 1 2 1 0 0 0 1 0 0 0 0 2.3025851 1 0 0 0 0 65 4225 0 1 0 0 0 0 1 0 0 0 1 1 0 0 1 0 2.3025851 0 0 0 0 0 86 7396 0 1 0 0 1 0 2 1 0 0 0 1 0 1 0 0 9.555804 0 0 0 0 0 57 3249 0 1 0 0 0 0 3 0 1 0 0 1 1 0 0 0 9.902702 1 0 0 0 0 57 3249 1 0 0 0 1 0 4 1 0 0 0 0 0 0 0 0 9.915798 0 0 0 0 0 42 1764 0 1 0 0 1 2 2 1 0 0 0 1 0 0 0 0 9.206563 0 0 0 0 0 57 3249 0 0 1 0 1 1 6 1 0 0 0 1 0 0 0 1 9.270395 1 0 0 0 0 28 784 0 1 0 0 0 4 5 0 1 0 0 0 1 0 0 0 10.655889 0 0 0 0 0 57 3249 0 1 0 0 0 0 4 1 0 0 0 1 0 0 1 0 2.3025851 0 0 0 0 0 66 4356 0 1 0 0 0 0 2 1 0 0 0 1 0 0 0 1 9.322296 1 0 0 0 0 34 1156 0 1 0 0 0 2 2 1 0 0 0 0 0 0 0 0 10.082283 0 0 0 0 0 21 441 0 0 0 0 0 0 5 0 0 0 0 1 0 1 0 0 9.365743 1 0 0 0 0 39 1521 0 1 0 0 1 0 3 1 0 0 0 1 0 0 0 0 9.769922 0 0 0 0 0 58 3364 0 1 0 0 1 0 3 1 0 0 0 1 0 0 0 0 9.413492 0 0 0 0 0 63 3969 0 0 1 0 0 1 3 0 0 0 0 1 0 0 0 0 8.349057 1 0 0 0 0 53 2809 0 1 0 0 1 0 2 1 0 0 0 1 0 0 0 0 10.129205 1 0 0 0 0 57 3249 0 1 0 0 1 1 6 1 0 0 0 1 0 0 0 0 2.3025851 0 0 0 0 0 65 4225 0 0 0 1 0 1 3 0 0 0 0 1 0 0 0 0 2.3025851 1 0 0 0 0 18 324 0 0 0 1 0 1 3 0 0 0 0 1 1 0 0 0 9.930808 0 0 0 0 0 42 1764 1 0 0 0 1 2 4 0 0 0 0 1 0 0 0 0 9.554104 1 0 0 0 0 42 1764 0 1 0 0 1 0 6 1 0 0 0 0 0 0 0 0 9.609755 1 0 0 0 0 19 361 0 0 0 1 1 0 6 0 0 0 0 1 0 0 1 0 2.3025851 0 0 0 0 0 70 4900 0 1 0 0 1 0 3 1 0 0 0 0 0 0 0 0 7.738974 0 0 0 0 0 18 324 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 0 2.3025851 1 0 0 0 0 26 676 0 1 0 0 1 0 2 0 0 0 0 0 0 0 0 0 10.095004 1 0 0 0 0 32 1024 0 1 0 0 1 1 4 1 0 0 0 1 1 0 0 0 8.878243 1 0 0 0 0 50 2500 1 0 0 0 1 1 5 1 0 0 0 1 0 0 0 0 8.972113 0 0 0 0 0 57 3249 0 1 0 0 0 0 4 1 0 0 0 1 0 0 0 0 9.780347 0 0 0 0 0 39 1521 0 1 0 0 1 2 5 1 0 0 0 . 0 0 0 0 2.3025851 0 0 0 0 0 75 5625 1 0 0 0 1 2 1 0 0 0 1 1 0 1 0 0 9.328406 0 0 0 0 0 20 400 0 0 0 1 0 1 5 0 0 0 0 0 1 0 0 0 9.969839 0 0 0 0 0 45 2025 0 1 0 0 1 0 2 1 0 0 0 1 0 0 0 1 9.288425 1 0 0 0 0 25 625 0 1 0 0 0 2 2 1 0 0 0 0 0 0 0 0 10.101118 0 0 0 0 0 42 1764 0 1 0 0 1 3 2 1 0 0 0 0 0 0 0 0 9.0124655 1 0 0 0 0 48 2304 0 1 0 0 0 0 3 1 0 0 0 1 0 0 0 0 9.39289 0 0 0 0 0 51 2601 0 0 1 0 0 0 4 1 0 0 0 0 1 0 0 0 9.70097 0 0 0 0 0 52 2704 0 1 0 0 1 1 5 1 0 0 0 1 0 0 0 0 9.843033 0 0 0 0 0 42 1764 0 1 0 0 1 2 4 1 0 0 0 0 0 0 0 0 10.20931 0 0 0 0 0 35 1225 0 1 0 0 0 1 2 0 1 0 0 1 0 0 0 0 9.447353 1 0 0 0 0 27 729 0 1 0 0 1 1 6 0 0 0 0 1 0 0 0 0 8.396678 0 0 0 0 0 40 1600 0 1 0 0 1 2 2 1 0 0 0 1 1 0 0 0 8.156669 1 0 0 0 0 26 676 0 1 0 0 1 0 3 0 0 0 0 0 1 0 0 0 10.169083 1 0 0 0 0 36 1296 1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 7.694472 0 0 0 0 0 71 5041 0 0 1 0 1 1 6 1 0 0 0 0 0 0 0 0 9.956157 1 0 0 0 0 49 2401 0 1 0 0 1 1 3 1 0 0 0 1 1 0 0 0 9.253366 1 0 0 0 0 33 1089 1 0 0 0 0 0 3 0 0 0 0 0 1 0 0 0 10.537738 0 0 0 0 0 47 2209 0 1 0 0 1 1 2 1 0 0 0 0 1 0 0 0 10.28999 1 0 0 0 0 39 1521 1 0 0 0 1 1 2 1 0 0 0 1 1 0 0 0 8.654283 0 0 0 0 0 27 729 0 1 0 0 0 0 4 0 0 0 0 1 0 1 0 0 2.3025851 0 0 0 0 0 53 2809 0 1 0 0 0 0 3 1 0 0 0 1 0 0 0 0 9.788313 0 0 0 0 0 57 3249 0 1 0 0 1 1 6 1 0 0 0 0 0 0 0 0 2.3025851 0 0 0 0 0 67 4489 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 2.3025851 0 0 0 0 0 28 784 0 0 1 0 1 0 4 0 0 0 0 1 0 1 0 0 8.241956 1 0 0 0 0 45 2025 1 0 0 0 0 1 3 1 0 0 0 1 0 0 0 0 7.869942 1 0 0 0 0 61 3721 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 10.254573 0 0 0 0 0 24 576 0 0 0 0 1 0 4 0 0 0 0 0 0 0 0 0 10.311508 0 0 0 0 0 47 2209 0 1 0 0 1 1 3 1 0 0 0 1 0 0 1 0 2.3025851 0 0 0 0 0 74 5476 0 0 1 0 0 0 2 1 0 0 0 1 1 0 0 0 9.340629 1 0 0 0 0 25 625 0 1 0 0 0 1 3 1 0 0 0 0 1 0 0 0 9.689745 1 0 0 0 0 54 2916 0 1 0 0 0 0 3 1 0 0 0 1 0 0 0 0 7.93868 1 0 0 0 0 34 1156 0 1 0 0 0 3 2 0 0 0 0 0 0 0 0 0 11.02635 0 0 0 0 0 59 3481 0 1 0 0 1 0 1 1 0 0 0 1 1 0 0 0 9.596244 0 0 0 0 0 40 1600 0 1 0 0 0 0 6 1 0 0 0 0 0 0 0 0 9.787611 0 0 0 0 0 41 1681 0 1 0 0 1 1 2 0 0 1 0 0 0 0 0 0 8.567282 0 0 0 0 0 55 3025 1 0 0 0 1 0 2 1 0 0 0 1 0 0 0 0 9.339465 1 0 0 0 0 34 1156 0 1 0 0 1 0 2 1 0 0 0 1 1 0 0 0 8.512483 1 0 0 0 0 56 3136 0 1 0 0 0 0 3 1 0 0 0 0 1 0 0 0 9.705004 1 0 0 0 0 39 1521 1 0 0 0 1 2 2 1 0 0 0 end
I have tried to use OLS to run a first-stage regression, and it worked. Probit on first-stage doesn't.
Thanks in advance!
0 Response to Seemingly unrelated bivariate probit: backs up during iterations
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