Understanding interactions in social networks and committees

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    21 Citations (Scopus)

    Abstract

    While much of the literature on cross-section dependence has focused on estimation of the regression coefficients in the underlying model, estimation and inferences on the magnitude and strength of spillovers 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 inferences 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. Small sample performance is examined through a Monte Carlo study. Our methods are applied to a study of committee decision making within the Bank of England’s Monetary Policy Committee.
    Original languageEnglish
    Pages (from-to)23-53
    Number of pages31
    JournalSpatial Economic Analysis
    Volume8
    Issue number1
    DOIs
    Publication statusPublished - 2013

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