We formalize the idea that uncertainty is generated by news about future developments in economic conditions which are not perfectly predictable by the agents. Using a simple model of limited information, we show that uncertainty shocks can be obtained as the square of news shocks. We develop a two-step econometric procedure to estimate the effects of news and we find highly nonlinear effects. Large news shocks increase uncertainty. This mitigates the effects of good news and amplifies the effects of bad news in the short run. By contrast, small news shocks reduce uncertainty and increase output in the short run. The Volcker recession and the Great Recession were exacerbated by the uncertainty effects of news.
Forni, M., L., Gambetti e L., Sala. "News, Uncertainty and Economic Fluctuations (No News is Good News)" Working paper, RECENT WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi – Università di Modena e Reggio Emilia, 2017.
News, Uncertainty and Economic Fluctuations (No News is Good News)
Forni, M.;Gambetti L.;
2017
Abstract
We formalize the idea that uncertainty is generated by news about future developments in economic conditions which are not perfectly predictable by the agents. Using a simple model of limited information, we show that uncertainty shocks can be obtained as the square of news shocks. We develop a two-step econometric procedure to estimate the effects of news and we find highly nonlinear effects. Large news shocks increase uncertainty. This mitigates the effects of good news and amplifies the effects of bad news in the short run. By contrast, small news shocks reduce uncertainty and increase output in the short run. The Volcker recession and the Great Recession were exacerbated by the uncertainty effects of news.File | Dimensione | Formato | |
---|---|---|---|
REcent-wp132.pdf
Open access
Tipologia:
Versione pubblicata dall'editore
Dimensione
942.8 kB
Formato
Adobe PDF
|
942.8 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris