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Identifying preferences in networks with bounded degree

Aureo de Paula, Seth Richards-Shubik and Elie Tamer ()
Additional contact information
Elie Tamer: Institute for Fiscal Studies and Harvard University

No CWP35/17, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

Abstract: This paper provides a framework for identifying preferences in a large network where links are pairwise stable. Network formation models present difficulties for identifi cation, especially when links can be interdependent: e.g., when indirect connections matter. We show how one can use the observed proportions of various local network structures to learn about the underlying preference parameters. The key assumption for our approach restricts individuals to have bounded degree in equilibrium, implying a finite number of payoff-relevant local structures. Our main result provides necessary conditions for parameters to belong to the identifi ed set. We then develop a quadratic programming algorithm that can be used to construct this set. With further restrictions on preferences, we show that our conditions are also sufficient for pairwise stability and therefore characterize the identifi ed set precisely. Overall, the use of both the economic model along with pairwise stability allows us to obtain effective dimension reduction.

New Economics Papers: this item is included in nep-gth and nep-net
Date: 2017-08-10
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Related works:
Journal Article: Identifying Preferences in Networks With Bounded Degree (2018) Downloads
Working Paper: Identifying preferences in networks with bounded degree (2016) Downloads
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