Identification and Inference in Nonlinear Dynamic Network Models

by @econ-papers

Abstract We study identification and inference in nonlinear dynamic systems defined on unknown interaction networks. The system evolves through an unobserved dependence matrix governing cross-sectional shock propagation…

Sign in to read the whole document.

A free Rho account opens every published document here. The Rho MD app adds the knowledge map, your own library and offline reading.

Sign in or create an account →Get Rho MD
Open in Rho MD →