American University
Browse

Information Rigidity and Economic Uncertainty: A New Theory and Stylized Facts

Download (1.8 MB)
Version 2 2025-07-17, 19:53
Version 1 2023-09-07, 05:11
thesis
posted on 2025-07-17, 19:53 authored by Romina Kazandjian
<p>I propose a structural micro-founded sticky-noisy information model with high- and low-uncertainty regimes. Agents first appraise the state of uncertainty and only spend resources to update their inflation expectations if they perceive uncertainty as sufficiently high. Time-varying uncertainty affects expectation formation through two direct channels: 1) the "wake-up call" effect, which causes agents to pay more attention, increasing their quantity of information; and 2) the "wait-and-see" effect, which decreases their quality of information and prompts them to put less weight on new noisier information. Using structural estimation of alternative models with information frictions, I find that accounting for the indirect state-dependence channel, the proposed innovation of the model, better explains the observed information rigidity, since it considers the interaction between the two direct effects. A substantial amount of information rigidity is due to inattention, leaving ample room for policymakers to employ frequent, direct, and simple forward guidance to "pierce the veil" of inattention.</p>

History

Publisher

ProQuest

Language

English

Handle

http://hdl.handle.net/1961/auislandora:85304

Committee chair

Xuguang Simon Sheng

Committee member(s)

Evan Kraft; Tucker McElroy; Jeffrey C. Fuhrer

Degree discipline

Economics

Degree grantor

American University. Department of Economics

Degree level

  • Doctoral

Degree name

Ph.D. in Economics, American University, August 2020

Local identifier

auislandora_85304_OBJ.pdf

Pagination

173 pages

Call number

Thesis 11054

MMS ID

99186404163004102

Submission ID

11475

Usage metrics

    Theses and Dissertations

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC