• Corpus ID: 210713851

Recovering Network Structure from Aggregated Relational Data using Penalized Regression

@article{Alidaee2020RecoveringNS,
  title={Recovering Network Structure from Aggregated Relational Data using Penalized Regression},
  author={Hossein Alidaee and Eric Auerbach and Michael P. Leung},
  journal={arXiv: Econometrics},
  year={2020}
}
Social network data can be expensive to collect. Breza et al. (2017) propose aggregated relational data (ARD) as a low-cost substitute that can be used to recover the structure of a latent social network when it is generated by a specific parametric random effects model. Our main observation is that many economic network formation models produce networks that are effectively low-rank. As a consequence, network recovery from ARD is generally possible without parametric assumptions using a… 

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