Understanding Interactions in Social Networks and Committees

Arnab Bhattacharjee; Sean Holly

Understanding Interactions in Social Networks and Committees

Arnab Bhattacharjee
, Sean Holly

Research output: Working paper/Preprint › Working paper

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Abstract

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 Englandâ€™s monetary policy committee.

Original language	English
Place of Publication	St. Andrews
Publisher	Scottish Institute for Research in Economics
Number of pages	44
Publication status	Published - 2009

Publication series

Name	SIRE Discussion Papers
Publisher	Scottish Institute for Research in Economics
No.	2009-53

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

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SIRE DP 2009 53Final published version, 1.06 MB

Understanding Interactions in Social Networks and Committees
Bhattacharjee, A. & Holly, S., 2010, St. Andrews: Centre for Dynamic Macroeconomic Analysis, 43 p. (CDMA Working Paper Series; no. CDMA10/04).
Research output: Working paper/Preprint › Working paper

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Understanding Interactions in Social Networks and Committees
Bhattacharjee, A. & Holly, S., 2010, Cambridge: Faculty of Economics, University of Cambridge, 41 p. (Cambridge Working Papers in Economics; no. 1003).
Research output: Working paper/Preprint › Working paper

Open Access
File

Cite this

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AB - 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 Englandâ€™s monetary policy committee.

KW - committee decision making

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

M3 - Working paper

T3 - SIRE Discussion Papers

BT - Understanding Interactions in Social Networks and Committees

PB - Scottish Institute for Research in Economics

CY - St. Andrews

ER -

Understanding Interactions in Social Networks and Committees

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