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<div>Hi Gabriel,</div>
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<div>The multilevel model would account for over-time correlation within a country (though it does not recognize time sequence). If that’s okay with you, then you could go with the multilevel model, which is available in our mediation package. Unfortunately,
the current version of our package does not have other types of models that can handle panel data.</div>
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Best,</div>
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Kosuke</div>
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<div>---------------------------------------------------------<br>
Kosuke Imai Office: Corwin Hall 036<br>
Professor Phone: 609-258-6601<br>
Department of Politics Fax: 609-258-1110<br>
Princeton University Email: <a href="mailto:kimai@Princeton.Edu">kimai@Princeton.Edu</a><br>
Princeton, NJ 08544-1012 <a href="http://imai.princeton.edu/">http://imai.princeton.edu</a><br>
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<div>On Dec 3, 2013, at 7:59 AM, Gabriel Cepaluni <<a href="mailto:gabi.cepal@gmail.com">gabi.cepal@gmail.com</a>> wrote:</div>
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<div dir="ltr">Dear Prof. <span class="" style="background-color:yellow">Imai</span>,
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<div>I recently read some of your papers on causal mediation and am learning how to use your R package. Congratulations for your excellent and inspiring work. </div>
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<div>I was wondering if you could advise me. I have a panel data of countries that are
<span class="" style="background-color:yellow">WTO</span> members. I want to understand what motivates them to join into coalitions at the
<span class="" style="background-color:yellow">WTO</span> negotiations. My main independent variable is GDP and my mediator is the number of diplomats in Geneva. This is a observational study. I'm arguing that large economies join coalitions more often because
they can pay for the high <span class="" style="background-color:yellow">transaction</span> costs of negotiating at the
<span class="" style="background-color:yellow">WTO</span> (number of diplomats is a proxy of bureaucratic capability). Joining into coalitions was measure either as a count and a dichotomous dependent variable.</div>
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<div>My question is: What outcome statistical model do you think is more appropriated for my data? I have tried linear and
<span class="" style="background-color:yellow">probit</span> models. However, I don't want to lose all the temporal information I have. I also considered using a multilevel model, but I wasn't sure if this is the most appropriate mediation model.</div>
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<div>Thank you so much for your time.</div>
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<div>Best,</div>
<div>-- <br>
Gabriel <span class="" style="background-color:yellow">Cepaluni</span><br>
Professor <span class="" style="background-color:yellow">de</span> <span class="" style="background-color:yellow">
Relações</span> <span class="" style="background-color:yellow">Internacionais</span><br>
Assistant Professor of International Relations<br>
<span class="" style="background-color:yellow">Unesp</span>-<span class="" style="background-color:yellow">Franca</span><br>
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