Advanced Search
MyIDEAS: Login to save this paper or follow this series

Nowcasting Unemployment Rate in Turkey : Let's Ask Google

Contents:

Author Info

  • Meltem Gulenay Chadwick
  • Gonul Sengul

Abstract

We use linear regression models and Bayesian Model Averaging procedure to investigate whether Google search query data can improve the nowcast performance of the monthly nonagricultural unemployment rate for Turkey for the period from January 2005 to January 2012. We show that Google search query data is successful at nowcasting1 monthly nonagricultural unemployment rate for Turkey both in-sample and out-of-sample. When compared with a benchmark model, where we use only the lag values of the monthly unemployment rate, the best model contains Google search query data and it is 47.8 percent more accurate in-sample and 38.3 percent more accurate for the one month ahead nowcasts in terms of relative root mean square errors (RMSE). We also show via Harvey, Leybourne, and Newbold (1997) modification of the Diebold-Mariano test that models with Google search query data indeed perform statistically better than the benchmark.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.tcmb.gov.tr/research/teblig/abstract/wp1218_tr.php
Download Restriction: no

Bibliographic Info

Paper provided by Research and Monetary Policy Department, Central Bank of the Republic of Turkey in its series Working Papers with number 1218.

as in new window
Length:
Date of creation: 2012
Date of revision:
Handle: RePEc:tcb:wpaper:1218

Contact details of provider:
Postal: Head Office, Istiklal Cad. 10 Ulus, 06100 Ankara
Phone: (90 312) 507 5000
Fax: (90 312) 507 5640
Email:
Web page: http://www.tcmb.gov.tr
More information through EDIRC

Related research

Keywords: Google Insights; nowcasting; nonagricultural unemployment rate; Bayesian model averaging;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Burcu Gurcihan Yunculer & Gonul Sengul & Arzu Yavuz, 2014. "A Quest for Leading Indicators of the Turkish Unemployment Rate," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 14(1), pages 23-45.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:tcb:wpaper:1218. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gulhanim Kayatas).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.