Understanding Interactions in Social Networks and Committees

Arnab Bhattacharjee, Sean Holly

    Research output: Working paper/PreprintWorking paper

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    While much of the literature on cross section dependence has fo?cused mainly on estimation of the regression coefficients in the under?lying 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 inter?pretation and structural explanation for the strength of any interac?tions. 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 PublicationSt. Andrews
    PublisherCentre for Dynamic Macroeconomic Analysis
    Number of pages43
    Publication statusPublished - 2010

    Publication series

    NameCDMA Working Paper Series
    PublisherSchool of Economics and Finance, University of St. Andrews


    • committee decision making
    • Cross section and spatial interaction
    • Generalised method of moments
    • Censored Regression Model
    • Expectation-Maximisation Algorithm
    • Monetary policy
    • Interest rates


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