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  • Interaction between 2 dummies - interpretation

    Hi guys,

    In short: does it matter if sustainability reports are audited etc. I measure this with the bid-ask spread and a range of control variables.
    Independent variables of interest: dummy variable for assurance and for big 4 auditor.

    Scheme:
    if assured: 1, if not 0.
    if assured by big4: 1, if not 0.

    Of course, one cannot be audited by a big4, if not being assured. So there is no case where big4 is 1 and assurance is 0.


    Question to you: how to interpret/measure the additional effect of a big4 assurance provider?

    Regression: Spread = DummyAssurance##DummyBig4 + Control variables (stock price etc)

    Output:
    I get the coefficient for assurance, big4, but not the interaction. That one is omitted because of collinearity...

    Do you have any ideas? (sorry for the output)

    ______________________lnspready | Coef. Std. Err. t P>|t| [95% Conf. Interval]
    ____________1.c_externalassurance | -.0535894 .0520514 -1.03 0.303 -.1556631 .0484844
    ________________1.c_provider_big4 | .0493626 .054771 0.90 0.368 -.0580444 .1567696
    _______________________________|
    c_externalassurance#c_provider_big4 |
    ____________________________0 1 | 0 (empty)
    ____________________________1 1 | 0 (omitted)
    _______________________________|
    _____________________c_wlnpricey | -.4889269 .017056 -28.67 0.000 -.5223742 -.4554797
    ___________________c_wlnturnover | -.3369853 .0070716 -47.65 0.000 -.3508528 -.3231179
    _________________c_lnstdevdailyret | .441063 .0479018 9.21 0.000 .3471266 .5349993
    ___________________________cons | -1.022986 .1685667 -6.07 0.000 -1.353549 -.6924236

    Kind regards,

    Guest
    Last edited by sladmin; 21 Jun 2018, 08:17. Reason: anonymize original poster

  • #2
    The way to do this is to set up a three-level variable, call it assurance, that is 0 if not audited, 1 if audited by other than big4, and 2 if audited by big4. Then run your regression with ib1.assurance (no interaction term). Then the coefficient of 2.assurance will be the incremental effect of a big4 audit over other auditing, and the coefficient of 0.assurance will be the effect of being unaudited compared to a non-big4 audit.

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    • #3
      Hi Clyde,

      Thank you! It is a very simple solution, but I was thinking in whole other directions as you might have noticed.
      I have tried it and this was exactly what I needed.

      The thread can be closed, if necessary.

      Kind regards,

      Guest
      Last edited by sladmin; 21 Jun 2018, 08:18. Reason: anonymize original poster

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