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      <record key="001" att1="001" value="188870" att2="188870">001   188870</record>
      <field key="037" subkey="x">englisch</field>
      <field key="050" subkey="x">Forschungsbericht</field>
      <field key="076" subkey="">Ökonomie</field>
      <field key="079" subkey="y">http://www.ihs.ac.at/publications/eco/es-298.pdf</field>
      <field key="079" subkey="z">Blume, Lawrence E. - et al., Linear Social Interactions Models (pdf)</field>
      <field key="079" subkey="y">http://ideas.repec.org/p/ihs/ihsesp/298.html</field>
      <field key="079" subkey="z">Institute for Advanced Studies. Economics Series; 298 (RePEc)</field>
      <field key="100" subkey="">Blume, Lawrence E.</field>
      <field key="103" subkey="">Department of Economics, Cornell University, Ithaca, USA, and Santa Fe Institute and IHS Vienna</field>
      <field key="104" subkey="a">Brock, William A.</field>
      <field key="107" subkey="">Economics Department, University of Wisconsin-Madison, USA and University of Missouri, Columbia</field>
      <field key="108" subkey="a">Durlauf, Steven N.</field>
      <field key="111" subkey="">Department of Economics, University of Wisconsin-Madison, USA</field>
      <field key="112" subkey="a">Jayaraman, Rajshri</field>
      <field key="115" subkey="">European School of Management and Technology, Berlin, Germany</field>
      <field key="331" subkey="">Linear Social Interactions Models</field>
      <field key="403" subkey="">1. Ed.</field>
      <field key="410" subkey="">Wien</field>
      <field key="412" subkey="">Institut für Höhere Studien</field>
      <field key="425" subkey="">2013, June</field>
      <field key="433" subkey="">55 pp.</field>
      <field key="451" subkey="">Institut für Höhere Studien; Reihe Ökonomie; 298</field>
      <field key="451" subkey="h">Kunst, Robert M. (Ed.) ; Reiter, Michael (Assoc. Ed.) ; Uysal, Selver Derya (Assoc. Ed.)</field>
      <field key="461" subkey="">Economics Series</field>
      <field key="517" subkey="c">from the Table of Contents: Introduction; Microfoundations; From a theoretical to an econometric model; Identification with known</field>
      <field key="soc" subkey="i">omatrices; Identification with partial information on sociomatrices; Endogeneity of social structure; Conclusion; References;</field>
      <field key="App" subkey="e">ndix;</field>
      <field key="542" subkey="">1605-7996</field>
      <field key="544" subkey="">IHSES 298</field>
      <field key="700" subkey="">C21</field>
      <field key="700" subkey="">C23</field>
      <field key="700" subkey="">C31</field>
      <field key="700" subkey="">C35</field>
      <field key="700" subkey="">C72</field>
      <field key="700" subkey="">Z13</field>
      <field key="720" subkey="">Social interactions</field>
      <field key="720" subkey="">Identification</field>
      <field key="720" subkey="">Incomplete information games</field>
      <field key="753" subkey="">Abstract: This paper provides a systematic analysis of identification in linear social interactions models. This is both a</field>
      <field key="the" subkey="o">retical and an econometric exercise as the analysis is linked to a rigorously delineated model of interdependent decisions.</field>
      <field key="We" subkey="d">evelop an incomplete information game that describes individual choices in the presence of social interactions. The</field>
      <field key="equ" subkey="i">librium strategy profiles are linear. Standard models in the empirical social interactions literature are shown to be exact</field>
      <field key="or" subkey="a">pproximate special cases of our general framework, which in turn provides a basis for understanding the microeconomic</field>
      <field key="fou" subkey="n">dations of those models. We consider identification of both endogenous (peer) and contextual social effects under alternative</field>
      <field key="ass" subkey="u">mptions on a priori information about network structure available to an analyst, and contrast the informational content of</field>
      <field key="ind" subkey="i">vidual-level and aggregated data. Finally, we discuss potential ramifications for identification of endogenous group</field>
      <field key="sel" subkey="e">ction and differences between the information sets of analysts and agents.;</field>
    </SEQUENTIAL>
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