Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data

Emily Breza

doi:10.1257/aer.20170861

Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data

2020-08-01

43

OA

AI

E

Emily Breza *

A

Arun G. Chandrasekhar

DOI：10.1257/aer.20170861

Original

Original request for help

Save

Abstract

En 中文

Social network data are often prohibitively expensive to collect, limiting empirical network research. We propose an inexpensive and feasible strategy for network elicitation using Aggregated Relational Data (ARD): responses to questions of the form how many of your links have trait k? Our method uses ARD to recover parameters of a network formation model, which permits sampling from a distribution over node- or graph-level statistics. We replicate the results of two field experiments that used network data and draw similar conclusions with ARD alone.

Keywords:

FINANCIAL NETWORKS

SOCIAL NETWORKS

ARRAYS

MODELS

LIMITS

RISK

Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data

Abstract

Journal

Organization