Understanding Interactions in Social Networks and Committees

Arnab Bhattacharjee, Sean Holly

    Research output: Working paper

    55 Downloads (Pure)

    Abstract

    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
    No.CDMA10/04

    Fingerprint

    Hazardous materials spills
    Decision making

    Keywords

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

    Cite this

    Bhattacharjee, A., & Holly, S. (2010). Understanding Interactions in Social Networks and Committees. (CDMA Working Paper Series; No. CDMA10/04). St. Andrews: Centre for Dynamic Macroeconomic Analysis.
    Bhattacharjee, Arnab ; Holly, Sean. / Understanding Interactions in Social Networks and Committees. St. Andrews : Centre for Dynamic Macroeconomic Analysis, 2010. (CDMA Working Paper Series; CDMA10/04).
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    abstract = "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{\^A}¡{\^A}¯s monetary policy committee.",
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    Bhattacharjee, A & Holly, S 2010 'Understanding Interactions in Social Networks and Committees' CDMA Working Paper Series, no. CDMA10/04, Centre for Dynamic Macroeconomic Analysis, St. Andrews.

    Understanding Interactions in Social Networks and Committees. / Bhattacharjee, Arnab; Holly, Sean.

    St. Andrews : Centre for Dynamic Macroeconomic Analysis, 2010. (CDMA Working Paper Series; No. CDMA10/04).

    Research output: Working paper

    TY - UNPB

    T1 - Understanding Interactions in Social Networks and Committees

    AU - Bhattacharjee, Arnab

    AU - Holly, Sean

    PY - 2010

    Y1 - 2010

    N2 - 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.

    AB - 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.

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    KW - SOCIAL NETWORKS

    KW - Cross section and spatial interaction

    KW - Generalised method of moments

    KW - Censored Regression Model

    KW - Expectation-Maximisation Algorithm

    KW - Monetary policy

    KW - Interest rates

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    BT - Understanding Interactions in Social Networks and Committees

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    Bhattacharjee A, Holly S. Understanding Interactions in Social Networks and Committees. St. Andrews: Centre for Dynamic Macroeconomic Analysis. 2010. (CDMA Working Paper Series; CDMA10/04).