Brianti, Marco ;
Forni, Mario ;
Gambetti, Luca ;
Granese, Antonio
(2026)
Nonlinear Business-Cycle Anatomy.
Bologna:
Dipartimento di Scienze economiche,
p. 69.
DOI
10.6092/unibo/amsacta/8908.
In: Quaderni - Working Paper DSE
(1221).
ISSN 2282-6483.
Full text disponibile come:
Abstract
Building on a frequency-domain identification within a nonlinear Structural Dynamic Factor Model, we study the nonlinear transmission of demand and supply shocks, the two shocks accounting for the bulk of fluctuations in U.S. macroeconomic variables. Supply shocks propagate symmetrically and are well described by linear dynamics. Demand shocks, by contrast, display strong sign asymmetries: contractionary shocks generate larger and more persistent declines in real activity, with limited adjustment of prices and nominal wages, an asymmetry amplified in booms. A New Keynesian model with downward nominal wage rigidity rationalizes these findings, highlighting the role of nominal rigidities as a source of nonlinearities.
Abstract
Building on a frequency-domain identification within a nonlinear Structural Dynamic Factor Model, we study the nonlinear transmission of demand and supply shocks, the two shocks accounting for the bulk of fluctuations in U.S. macroeconomic variables. Supply shocks propagate symmetrically and are well described by linear dynamics. Demand shocks, by contrast, display strong sign asymmetries: contractionary shocks generate larger and more persistent declines in real activity, with limited adjustment of prices and nominal wages, an asymmetry amplified in booms. A New Keynesian model with downward nominal wage rigidity rationalizes these findings, highlighting the role of nominal rigidities as a source of nonlinearities.
Tipologia del documento
Monografia
(Working paper)
Autori
Parole chiave
Frequency Domain, Nonlinear Time Series, Keynesian DSGE, Business Cycle, Economic Fluctuations
Settori scientifico-disciplinari
ISSN
2282-6483
DOI
Data di deposito
13 Apr 2026 12:57
Ultima modifica
13 Apr 2026 12:57
URI
Altri metadati
Tipologia del documento
Monografia
(Working paper)
Autori
Parole chiave
Frequency Domain, Nonlinear Time Series, Keynesian DSGE, Business Cycle, Economic Fluctuations
Settori scientifico-disciplinari
ISSN
2282-6483
DOI
Data di deposito
13 Apr 2026 12:57
Ultima modifica
13 Apr 2026 12:57
URI
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