Dear Statalist,
I have just started to work with svy command in Stata, and I have the next question. I am using World Bank Enterprise Survey database. This database consist of multiple and different companies surveyed in different countries and in different years. For example, in 2017, the survey was run in Argentina to X number of companies. In 2020 in Brazil, and so on. I post a brief example of my data.
With all this on hand, first I set my survey structure like this:
svyset idstd [pweight=wt], strata(strata) singleunit(scaled)
After that, I want to run a logit regression but using cluster standard errors at country level, because might be correlation within a country. Then I type this code:
However, Stata tells me: option vce() of logit is not allowed with the svy prefix. So, looking at the design of the survey and therefore, at the command svyset, am I already considering standard errors clustered at country level and hence, adding vce(cluster ...) has no sense, or may I have to specify it but with another command?
Thank you in advanced!
I have just started to work with svy command in Stata, and I have the next question. I am using World Bank Enterprise Survey database. This database consist of multiple and different companies surveyed in different countries and in different years. For example, in 2017, the survey was run in Argentina to X number of companies. In 2020 in Brazil, and so on. I post a brief example of my data.
Code:
* Example generated by -dataex-. For more info, type help dataex clear input str28 country_01 double(idstd wt strata) "Afghanistan2014" 533626 1 46 "Afghanistan2014" 533670 2.7 16 "Afghanistan2014" 533494 52.76923076923077 6 "Afghanistan2014" 533350 9 72 "Afghanistan2014" 533706 2.5 59 "Afghanistan2014" 533362 1 31 "Afghanistan2014" 533663 1 17 "Afghanistan2014" 533319 9 72 "Afghanistan2014" 533667 2.7 16 "Afghanistan2014" 533339 22.1 15 "Afghanistan2014" 533699 12 57 "Afghanistan2014" 533361 1 32 "Afghanistan2014" 533318 1 74 "Afghanistan2014" 533597 9 71 "Afghanistan2014" 533662 2.7 16 "Afghanistan2014" 533623 2.1666666666666665 44 "Afghanistan2014" 533629 27.666666666666668 9 "Afghanistan2014" 533668 2.7 16 "Afghanistan2014" 533683 83.66666666666667 25 "Afghanistan2014" 533701 12 57 "Afghanistan2014" 533627 22.1 14 "Afghanistan2014" 533687 83.66666666666667 25 "Afghanistan2014" 533697 2.5 27 "Afghanistan2014" 533406 1.1666666666666667 63 "Afghanistan2014" 533680 1 17 "Afghanistan2014" 533355 2.1666666666666665 45 "Afghanistan2014" 533661 1 17 "Afghanistan2014" 533705 2.5 59 "Afghanistan2014" 533607 1 73 "Afghanistan2014" 533702 12 57 "Afghanistan2014" 533328 48.75 40 "Afghanistan2014" 533664 2.7 16 "Afghanistan2014" 533684 13.4 29 "Afghanistan2014" 533332 26 43 "Afghanistan2014" 533708 2 56 "Afghanistan2014" 533337 1 31 "Afghanistan2014" 533641 22.1 14 "Afghanistan2014" 533660 27.666666666666668 9 "Afghanistan2014" 533598 9 71 "Afghanistan2014" 533672 2.7 16 "Afghanistan2014" 533700 12 57 "Afghanistan2014" 533679 2.6666666666666665 11 "Afghanistan2014" 533637 22.1 14 "Afghanistan2014" 533624 2.1666666666666665 44 "Afghanistan2014" 533665 2.7 16 "Afghanistan2014" 533669 2.7 16 "Afghanistan2014" 533331 26 43 "Afghanistan2014" 533640 22.1 14 "Afghanistan2014" 533314 2.5 60 "Afghanistan2014" 533334 26 43 "Afghanistan2014" 533320 9 72 "Afghanistan2014" 533600 9 71 "Afghanistan2014" 533682 13.4 29 "Afghanistan2014" 533357 26 43 "Afghanistan2014" 533651 27.666666666666668 9 "Afghanistan2014" 533636 22.1 14 "Afghanistan2014" 533622 2.1666666666666665 44 "Afghanistan2014" 533477 1.1666666666666667 63 "Afghanistan2014" 533621 2.1666666666666665 44 "Afghanistan2014" 533671 2.7 16 "Afghanistan2014" 533693 1 30 "Afghanistan2014" 533371 25.529411764705884 61 "Afghanistan2014" 533608 1 73 "Afghanistan2014" 533634 22.1 14 "Afghanistan2014" 533349 1 74 "Afghanistan2014" 533645 27.666666666666668 9 "Afghanistan2014" 533666 2.7 16 "Afghanistan2014" 533689 1 30 "Afghanistan2014" 533612 1 73 "Afghanistan2014" 533639 22.1 14 "Afghanistan2014" 533659 27.666666666666668 9 "Afghanistan2014" 533356 2.1666666666666665 45 "Argentina2010" 495153 24.657625198364258 21 "Argentina2010" 495049 14.333484649658203 126 "Argentina2010" 494598 7.238102436065674 93 "Argentina2010" 495015 8.942412376403809 23 "Argentina2010" 494794 42.291297912597656 19 "Argentina2010" 494774 7.743322372436523 17 "Argentina2010" 494680 13.792357444763184 61 "Argentina2010" 494423 14.333484649658203 127 "Argentina2010" 494634 14.588567733764648 91 "Argentina2010" 494456 1 92 "Argentina2010" 495048 21.137067794799805 129 "Argentina2010" 495386 4.113980770111084 66 "Argentina2010" 495382 1 22 "Argentina2010" 495190 42.291297912597656 19 "Argentina2010" 495396 3.437615394592285 22 "Argentina2010" 494620 2.0523295402526855 92 "Argentina2010" 495361 42.291297912597656 19 "Argentina2010" 495174 2.2152016162872314 24 "Argentina2010" 495047 3.437615394592285 22 "Argentina2010" 494780 8.942412376403809 23 "Argentina2010" 494650 1 62 "Argentina2010" 494398 43.27082061767578 127 "Argentina2010" 494854 1 22 "Argentina2010" 494797 5.139439582824707 20 "Argentina2010" 494992 24.657625198364258 21 "Argentina2010" 494963 2.739043712615967 24 "Argentina2010" 494649 1 62 "Argentina2010" 494687 1 70 end label values idstd IDSTD label values strata STRATA
With all this on hand, first I set my survey structure like this:
Code:
svyset idstd [pweight=wt], strata(strata) singleunit(scaled)
After that, I want to run a logit regression but using cluster standard errors at country level, because might be correlation within a country. Then I type this code:
Code:
svy: logit collateral n_outcome age lnemployees i.ownership, vce(cluster country)
Thank you in advanced!
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