***** To join INSNA, visit http://www.insna.org ***** Hi all! One relevant ERGM-related paper is Krivitsky, Pavel N., Mark S. Handcock, and Martina Morris. "Adjusting for network size and composition effects in exponential-family random graph models." Statistical methodology 8.4 (2011): 319-339. http://www.sciencedirect.com/science/article/pii/S1572312711000086 which illustrates some non-trivialities even as it goes for network size. Best, Michal On Tue, Oct 11, 2016 at 1:33 PM, Christian Steglich <[log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** > Hi Olaf! > > Of course, all the known caveats of comparing logistic regression across > different studies apply for ERGMs, too. > > Allison, Paul. 1999. Comparing Logit and Probit Coefficients Across Groups. > Sociological Methods and Research 28(2): 186-208. > Long, J. S. (2009). Group comparisons in logit and probit using predicted > probabilities. Department of Sociology, University of Indiana. Unpublished > manuscript. > http://www.indiana.edu/~jslsoc/files_research/groupdif/groupwithprobabilities/groups-with-prob-2009-06-25.pdf > Hoetker, G. (2007). The use of logit and probit models in strategic > management research: Critical issues. Strategic Management Journal, 28(4), > 331-343. > Williams, Richard. 2009. Using Heterogeneous Choice Models to Compare Logit > and Probit Coefficients across Groups. Sociological Methods & Research > 37(4): 531-559. > > Just to mention a few papers. I am not aware of a systematic treatment of > these issues for ERGMs, but would appreciate any information! > > Best regards, Christian > > -- > > ________________________________ > Institute for Analytical Sociology > S-601 74 NORRKÖPING > Phone: +46 (0)11-363 361 > https://liu.se/ias/medarbetare/christian-steglich > Visiting address: Kopparhammaren 2, Norra Grytsgatan 10, Campus Norrköping > Please visit us at www.liu.se/ias > > _____________________________________________________________________ SOCNET > is a service of INSNA, the professional association for social network > researchers (http://www.insna.org). To unsubscribe, send an email message to > [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of > the message. _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.