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Review of Financial Studies Vol. 33 No. 7 2020

Asymmetric or Incomplete Information about Asset Values?

Crocker H. Liu1; Adam Nowak2; Patrick S. Smith3

1 Cornell University · 2 West Virginia University · 3 San Diego State University

Abstract

We provide a new framework for using text as data in empirical models. The framework identifies salient information in unstructured text that can control for multidimensional heterogeneity among assets. We demonstrate the efficacy of the framework by reexamining principal-agent problems in residential real estate markets. We show that the agent-owned premiums reported in the extant literature dissipate when the salient textual information is included. The results suggest the previously reported agent-owned premiums suffer from an omitted variable bias, which prior studies incorrectly ascribed to market distortions associated with asymmetric information.

DOI
10.1093/rfs/hhz096
Volume
33
Issue
7
Pages
2898-2936
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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