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  • Probit with clustered data

    Hi there! New to Statalist, but I was hoping one of you could help me with a spot of confusion.

    I am attempting to apply a probit specification to some cross-sectional data which should display clustering (within villages).

    I was using the vce(cl variable) and the score bootstrap in boottest to attain robust standard errors, but I just read that the coefficients of the probit themselves may be biased and inconsistent?

    Would clustering produce heteroskedasticity which would bias the probit coefficients?

    I would rather not move to an LPM due to the bias issues there, but is there an alternative?

    Thank you so much,
    Henry
    Last edited by Henry Morgan; 09 Sep 2017, 20:51.

  • #2
    Henry: You might want to take a look at this previous thread

    https://www.statalist.org/forums/for...tandard-errors ,

    at section 3.1.1. in this paper by Jeff Wooldridge

    https://pdfs.semanticscholar.org/ebc...f957d9fbb8.pdf ,

    at section VII(c) in this paper by Cameron and Miller

    http://jhr.uwpress.org/content/50/2/317 ,

    and the references to Wooldridge's textbook in the earlier thread.

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    • #3
      Oh thank you very much John!

      I can't believe I missed that thread...

      It was a great help.

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