Arbeitspapier

Debunking the granular origins of aggregate fluctuations: From real business cycles back to Keynes

In this work we study the granular origins of business cycles and their possible underlying drivers. As shown by Gabaix (2011), the skewed nature of firm size distributions implies that idiosyncratic (and independent) firm-level shocks may account for a significant portion of aggregate volatility. Yet, we question the original view grounded on "supply granularity", as proxied by productivity growth shocks - in line with the Real Business Cycle framework -, and we provide empirical evidence of a "demand granularity", based on investment growth shocks instead. The role of demand in explaining aggregate fluctuations is further corroborated by means of a macroeconomic Agent-Based Model of the "Schumpeter meeting Keynes" family (Dosi et al., 2015). Indeed, the investigation of the possible microfoundation of RBC has led us to the identification of a sort of microfounded Keynesian multiplier.

Sprache
Englisch

Erschienen in
Series: LEM Working Paper Series ; No. 2018/19

Klassifikation
Wirtschaft
Computational Techniques; Simulation Modeling
General Aggregative Models: Keynes; Keynesian; Post-Keynesian
Investment; Capital; Intangible Capital; Capacity
Business Fluctuations; Cycles
Thema
business cycles
granular residual
granularity hypothesis
agent-based models
firm dynamics
productivity growth
investment growth

Ereignis
Geistige Schöpfung
(wer)
Dosi, Giovanni
Napoletano, Mauro
Roventini, Andrea
Treibich, Tania
Ereignis
Veröffentlichung
(wer)
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
(wo)
Pisa
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Dosi, Giovanni
  • Napoletano, Mauro
  • Roventini, Andrea
  • Treibich, Tania
  • Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)

Entstanden

  • 2018

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