Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany
We suggest to use Internet car sale price advertisements for measuring economic inequality between and within German regions. Our estimates of regional income levels and Gini indices based on advertisements are highly, positively correlated with the official figures. This implies that the observed car prices can serve as a reasonably good proxy for income levels. In contrast to the traditional measures, our data can be fast and inexpensively retrieved from the web, and more importantly allow to estimate Gini indices at the NUTS2 level – something that never has been done before. Our approach to measuring regional inequality is a useful alternative source of information that could complement the officially available measures.
|Date of creation:||Jul 2010|
|Date of revision:|
|Contact details of provider:|| Postal: Leonhardstrasse 21, CH-8092 Zürich|
Phone: +41 44 632 42 39
Fax: +41 44 632 12 18
Web page: http://www.kof.ethz.ch
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010.
"Do Google Searches Help in Nowcasting Private Consumption? A Real-Time Evidence for the US,"
KOF Working papers
10-256, KOF Swiss Economic Institute, ETH Zurich.
- Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.
- Askitas, Nikos & Zimmermann, Klaus F., 2009.
"Google Econometrics and Unemployment Forecasting,"
IZA Discussion Papers
4201, Institute for the Study of Labor (IZA).
- Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
- Nikos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Research Notes of the German Council for Social and Economic Data 41, German Council for Social and Economic Data (RatSWD).
- Nikos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Discussion Papers of DIW Berlin 899, DIW Berlin, German Institute for Economic Research.
- D'Amuri, Francesco/FD & Marcucci, Juri/JM, 2009.
""Google it!" Forecasting the US unemployment rate with a Google job search index,"
18248, University Library of Munich, Germany.
- Francesco D’Amuri & Juri Marcucci, 2010. "“Google it!”Forecasting the US Unemployment Rate with a Google Job Search index," Working Papers 2010.31, Fondazione Eni Enrico Mattei.
- D'Amuri, Francesco & Marcucci, Juri, 2009. "'Google it!' Forecasting the US unemployment rate with a Google job search index," ISER Working Paper Series 2009-32, Institute for Social and Economic Research.
- Peter Krause & Andrea Schäfer, 2005. "Verteilung von Vermögen und Einkommen in Deutschland: große Unterschiede nach Geschlecht und Alter," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 72(11), pages 199-207.
When requesting a correction, please mention this item's handle: RePEc:kof:wpskof:10-261. 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: ()
If references are entirely missing, you can add them using this form.