Arbeitspapier

From Shopping to Statistics: Tracking and Nowcasting Private Consumption Expenditures in Real-Time

In this paper, we use high-frequency transaction data to develop a weekly tracker for private consumption expenditures. Furthermore, we apply the transaction data in a nowcasting experiment and compare their performance with other, readily available indicators that are regularly linked to private consumption in Germany. The weekly tracker produces precise estimates and can thus be used in real-time, especially in very turbulent times such as a pandemic or the high-inflation-phase in its aftermath. In terms of nowcast accuracy, the tracker outperforms all remaining indicators, making it a powerful tool for applied forecasting work. We plan to regularly publish the weekly consumption tracker in the future, thereby complementing the database for Germany.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 10764

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Forecasting Models; Simulation Methods
Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
Macroeconomics: Consumption; Saving; Wealth
Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
Thema
private consumption expenditures
real-time tracker
high-frequency transaction data
mixed-frequency vectorautoregression
Bayesian estimation

Ereignis
Geistige Schöpfung
(wer)
Fourné, Friederike
Lehmann, Robert
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:43 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

  • Fourné, Friederike
  • Lehmann, Robert
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2023

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