Econometrics

Matias Cattaneo, Princeton University -  Econometrics

04:15pm - 05:45pm | Zoom | Coordinator: Yuan Liao

Tim Armstrong, University of Southern California -  Econometrics

04:30pm - 06:00pm | Virtual - ZOOM | Coordinator: Roger Klein

Matthew Thirkettle, Rice University -  Econometrics

"Identification and Estimation of Network Statistics with Missing Link Data"

Abstract

I obtain informative bounds on network statistics in a partially observed network whose formation I explicitly model. Partially observed networks are commonplace due to, for example, partial sampling or incomplete responses in surveys. Network statistics (e.g., centrality measures) are not point identified when the network is partially observed. Worst-case bounds on network statistics can be obtained by letting all missing links take values zero and one. I dramatically improve on the worst-case bounds by specifying a structural model for network formation. An important feature of the model is that I allow for positive externalities in the network-formation process. The networkformation model and network statistics are set identified due to multiplicity of equilibria. I provide a computationally tractable outer approximation of the joint identified region for preferences determining network-formation processes and network statistics. In a simulation study on Katz-Bonacich centrality, I find that worst-case bounds that do not use the network formation model are 44 times wider than the bounds I obtain from my procedure.

04:15pm - 05:45pm | Virtual - ZOOM Link | Coordinator: Roger Klein

Bob Sherman, California Institute of Technology -  Econometrics

MOMENT ESTIMATION IN A CORRELATED RANDOM COEFFICIENTS LINEAR PANEL DATA MODEL: A FUNCTIONAL FIXED POINT APPROACH TO IDENTIFICATION AND ESTIMATION

04:15pm - 05:45pm | Virtual - ZOOM | Coordinator: Roger Klein