Understanding Interactions in Social Networks and Committees

A. Bhattacharjee, S. Holly

    Research output: Working paper/PreprintWorking paper

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    While much of the literature on cross section dependence has focused mainly on estimation of the regression coefficients in the underlying model, estimation and inferences on the magnitude and strength of spill-overs and interactions has been largely ignored. At the same time, such inferences are important in many applications, not least because they have structural interpretations and provide useful interpretation and structural explanation for the strength of any interactions. In this paper we propose GMM methods designed to uncover underlying (hidden) interactions in social networks and committees. Special attention is paid to the interval censored regression model. Our methods are applied to a study of committee decision making within the Bank of England’s monetary policy committee.
    Original languageEnglish
    Place of PublicationCambridge
    PublisherFaculty of Economics, University of Cambridge
    Number of pages41
    Publication statusPublished - 2010

    Publication series

    NameCambridge Working Papers in Economics
    PublisherFaculty of Economics, University of Cambridge


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