• Medientyp: E-Book
  • Titel: Forecasting Consumption : The Role of Consumer Confidence in Real Time with Many Predictors
  • Beteiligte: Lahiri, Kajal [VerfasserIn]; Monokroussos, George [Sonstige Person, Familie und Körperschaft]; Zhao, Yongchen [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2019]
  • Umfang: 1 Online-Ressource (32 p)
  • Sprache: Englisch
  • Entstehung:
  • Anmerkungen: In: Journal of Applied Econometrics, 2015
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 15, 2015 erstellt
  • Beschreibung: We study the role of consumer confidence in forecasting real personal consumption expenditure, and contribute to the extant literature in three substantive ways: First, we reexamine existing empirical models of consumption and consumer confidence not only at the quarterly frequency, but using monthly data as well. Second, we employ real-time data in addition to commonly used revised vintages. Third, we investigate the role of consumer confidence in a rich information context. We produce forecasts of consumption expenditures with and without consumer confidence measures using a dynamic factor model and a large, real-time, jagged-edge data set. In a robust way, we establish the important role of confidence surveys in improving the accuracy of consumption forecasts, manifesting primarily through the services component. During the recession of 2007-09, sentiment is found to have a more pervasive effect on all components of aggregate consumption - durables, non-durables and services
  • Zugangsstatus: Freier Zugang