Recovering Social Networks from Panel Data: Identification, Simulations and an Application
Aureo de Paula,
Imran Rasul and
Pedro Souza ()
No 2018-013, Working Papers from Human Capital and Economic Opportunity Working Group
Abstract:
It is almost self-evident that social interactions can determine economic behavior and outcomes. Yet, information on social ties does not exist in most publicly available and widely used datasets. We present methods to recover information on the entire structure of social networks from observational panel data that contains no information on social ties between individuals. In the context of a canonical social interactions model, we provide sufficient conditions under which the social interactions matrix, endogenous and exogenous social effect parameters are all globally identified. We describe how high dimensional estimation techniques can be used to estimate the model based on the Adaptive Elastic Net GMM method. We showcase our method in Monte Carlo simulations using two stylized and two real world network structures. Finally, we employ our method to study tax competition across US states. We find the identified network structure of tax competition differs markedly from the common assumption of tax competition between geographically neighboring states. We analyze the identified social interactions matrix to provide novel insights into the long-standing debate on the relative roles of factor mobility and yardstick competition in driving tax setting behavior across states. Most broadly, our method shows how the analysis of social interactions can be usefully extended to economic realms where no network data exists.
Keywords: social interactions; panel data; high dimensional estimation; GMM; adaptive elastic net (search for similar items in EconPapers)
JEL-codes: C18 C31 D85 H71 (search for similar items in EconPapers)
Date: 2018-03
New Economics Papers: this item is included in nep-ecm, nep-net, nep-soc and nep-ure
Note: MIP
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)
Downloads: (external link)
http://humcap.uchicago.edu/RePEc/hka/wpaper/dePaul ... -social-networks.pdf First version, March, 2018 (application/pdf)
Related works:
Working Paper: Recovering social networks from panel data: Identification, simulations and an application (2018) 
Working Paper: Recovering social networks from panel data: identification, simulations and an application (2018) 
Working Paper: Recovering social networks from panel data: identification, simulations and an application (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hka:wpaper:2018-013
Access Statistics for this paper
More papers in Working Papers from Human Capital and Economic Opportunity Working Group Contact information at EDIRC.
Bibliographic data for series maintained by Jennifer Pachon ().