Arbeitspapier

The impact of active aggregate demand on utilisation-adjusted TFP

Non-clearing goods markets are an important driver of capacity utilisation and total factor productivity (TFP). The trade-off between goods prices and household search effort is central to goods market matching and therefore drives TFP over the business cycle. In this paper, I develop a New-Keynesian DSGE model with capital utilisation, worker effort, and expand it with goods market search-and-matching (SaM) to model non-clearing goods markets. I conduct a horse-race between the different capacity utilisation channels using Bayesian estimation and capacity utilisation survey data. Models that include goods market SaM improve the data fit, while the capital utilisation and worker effort channels are rendered less important compared to the literature. It follows that TFP fluctuations increase for demand and goods market mismatch shocks, while they decrease for technology shocks. This pattern increases as goods market frictions increase and as prices become stickier. The paper shows the importance of non-clearing goods markets in explaining the difference between technology and TFP over the business cycle.

Sprache
Englisch

Erschienen in
Series: IWH Discussion Papers ; No. 9/2022

Klassifikation
Wirtschaft
Investment; Capital; Intangible Capital; Capacity
Macroeconomics: Production
Demand and Supply of Labor: General
Thema
Bayesian estimation
capacity utilisation
non-clearing goods markets
search-and-matching
total factor productivity

Ereignis
Geistige Schöpfung
(wer)
Gantert, Konstantin
Ereignis
Veröffentlichung
(wer)
Halle Institute for Economic Research (IWH)
(wo)
Halle (Saale)
(wann)
2022

Handle
URN
urn:nbn:de:gbv:3:2-866060
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Gantert, Konstantin
  • Halle Institute for Economic Research (IWH)

Entstanden

  • 2022

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