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I just want to take a moment to plug Statalist. I’m a member and I hope to convince you to join Statalist, too, but even if I don’t succeed, you need to know about the web-based Statalist Archives because they’re a great resource for finding answers to questions about Stata, and you don’t have to join Statalist to access them.

Statalist’s Archives are found at http://www.stata.com/statalist/archive/, or you can click on “Statalist archives” on the right of this blog page, under Links.

Once at the Archives page, you can click on a year and month to get an idea of the flavor of Statalist. More importantly, you can search the archives. The search is Powered by Google and works well for highly specific, directed inquiries. For generic searches such as random numbers or survival analysis, however, I prefer to go to Advanced Search and ask that the results be sorted by date instead of relevance. It’s usually the most recent postings that are the most interesting, and by-date results are listed in just that order.

Anyway, the next time you are puzzling over something in Stata, I suggest that in addition to searching the Stata FAQs at http://www.stata.com/support/faqs/, you also search the Statalist Archives.

Enough about the archives. You can join Statalist and, if you don’t like it, you can quit. Statalist is an email-based listserver, so after subscribing, you’ll get a couple of dozen emails per day. If that doesn’t appeal to you, you can subscribe in digest form, and then Statalist mails to you a composite of the day’s activity in a single email.

To subscribe to Statalist, email majordomo@hsphsun2.harvard.edu and put subscribe statalist or subscribe statalist-digest in the body of the message. What you put on the subject line does not matter.

To unsubscribe, email the same address, majordomo@hsphsun2.harvard.edu, and put unsubscribe statalist or unsubscribe statalist-digest in the body of the message. As with subscription requests, the subject line does not matter on cancellation requests.

Once you’ve joined, you can post to Statalist, and even ask questions, by emailing to statalist@hsphsun2.harvard.edu. Before asking questions, I recommend you lurk a while or browse the Statalist Archives so that you understand the kinds of questions that are appropriate for Statalist. In general, questions appropriate for Statalist are questions that would be inappropriate for StataCorp Technical Support, and vice-versa. Substantive questions are always appropriate on Statalist. There’s no guarantee you’ll get an answer, but those who invest a little time in writing their question clearly and supplying the supporting detail usually get far more than they expected.

See the Statalist FAQ before you make your first posting, whether it’s a question or not.

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  • Joel Jere

    Dear Colleagues,

    I am unable to load all information from the household stata datavfile
    of the 2010 Demographic and Health Survey for Malawi into STATA. The household
    file was converted from SPSS to a STATA file and it is 95.536 Megabytes. I am using
    Stata/SE 10.0 for Windows and got the following message

    “insufficient memory for value label     1 

    above message refers to value label     1 
    1MW5; value label not loaded”

    When I use the following command “use malawidhs2010_hh’’

    Although this command was preceeded by “set mem 1000m”. I
    could not make the “set mem” greater than 1000m.

    I would appreciate to get your advice.

    With best regards,


  • HayY

    How can I run metafrontier analysis

  • Raquel

    Dear all,

    I am working with panel data and I ran the Hausman test in order to figure out if I should use fixed or random effects. I found that I should use fixed effects, the problem is that for my study it is important to analyze the impact of time invariant regressors (countries and industries) and under fixed effects that is not possible. Do you know if there is other method that allows me to estimate coefficients of time invariant regressors and that can substitute the fixed effects?


  • max

    Hello all. I’am performing a spatial econometric model. My problem is about checking instuments…Does anyone know how to do it?

  • ohid

    Hello, I am a PhD candidate doing research on Parliamentary
    Questions. I have selected 3 separate sessions out of 20 sessions as my sample
    which is not consecutive. I have followed some previous study methodology where
    regression done by NBRM. But there sample includes all the sessions. In my case
    I only included few sessions, not all. My question is: should I use NBRM
    or ZINBR or any other method. Please advise me which method will best fit with
    my sample.

  • Sonia Menon

    Hello, I am conducting a meta analysis which involves 27 prevalence studies. As I have a I square that greatly exceeds 50% I was wondering whether the Trim and Fill method would indeed be adequate to adjust for publication bias in this case. If not, would there be any other non parametric method I could use instead ( and if so, can it be calculated using STATA).

    I would be most appreciative if you could guide me.

    Thanking you in advance,

  • Mona


    I am trying to merge two datasets with command merge m:1 and I got an error that: “variables year fip do not uniquely identify observations in the using data”,
    I tried many codes to eliminate any possible errors but still can’t find any clue.
    one of the code that I tried:

    bysort fip year:gen id=_n
    and check obs with id greater than 1.

    Can anyone kindly guide me through this?

  • Lekhnath

    Hello , can somebody help me to run gsem for non-recursive model in survey data? I encountered with an error message that a non-recursive system among the variables is not allowed. Thanks,

  • Dan O’Neill

    I am having a problem with logit using categorical variables. I am using Stata 13.1 for Windows. I have a dog breed variable and I would like to compare each breed against all remaining dogs but I can only manage to compare against one other specific category. What is the code to allow the results for each category to be interpreted as a comparison against all remaining categories? Thank you