Now-casting the Japanese economy
Daniela Bragoli ()
International Journal of Forecasting, 2017, vol. 33, issue 2, 390-402
This paper proposes a formal statistical framework for the real-time monitoring of current economic conditions in Japan. We identify the ‘market moving’ indicators that are monitored constantly by market participants, statistical offices, newspapers, and policy makers. This results in the selection of around 30 variables. We track the release calendar and use vintages of real-time data in order to reconstruct the exact same information set that was available at the time when the forecasts were made. These variables are used to estimate a dynamic factor model (DFM) which is updated continuously at each new data release over a historical period of 11 years. Our results show that the proposed now-casting model tracks GDP realizations well throughout the evaluation period. The forecasts produced by the sophisticated yet transparent model are comparable with both the markets and the professional forecasts.
Keywords: Forecasting; Dynamic factor model; Now-casting (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (7) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:33:y:2017:i:2:p:390-402
Access Statistics for this article
International Journal of Forecasting is currently edited by R. J. Hyndman
More articles in International Journal of Forecasting from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().