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Multiple equilibria and selection by learning in an applied setting

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Author Info
Lee, Robin S.
Pakes, Ariel

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Abstract

We explore two complementary approaches to counterfactual analysis in an empirical ATM network example with multiple equilibria. First we simply enumerate and compare the possible equilibria. Second, we examine how different learning algorithms select among them.

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File URL: http://www.sciencedirect.com/science/article/B6V84-4VWB13V-1/2/0e594e343c8a2c923f16362e7bc9e728
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Publisher Info
Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 104 (2009)
Issue (Month): 1 (July)
Pages: 13-16
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Handle: RePEc:eee:ecolet:v:104:y:2009:i:1:p:13-16

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Web page: http://www.elsevier.com/locate/ecolet

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Related research
Keywords: Multiple equilibria Learning Counterfactuals in applied work;

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This page was last updated on 2009-12-12.


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