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Multiple equilibria and selection by learning in an applied setting

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.
Year of publication:
2009
Authors: Lee, Robin S. ; Pakes, Ariel
Published in:
Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 104.2009, 1, p. 13-16
Publisher: Elsevier
Keywords: Multiple equilibria Learning Counterfactuals in applied work
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10005066286
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