Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany
AbstractWe 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 officially available measures.
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Bibliographic InfoPaper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 1036.
Length: 15 p.
Date of creation: 2010
Date of revision:
Publication status: Published in: Economics Letters 116 (2012), 3, 414-417
Car price advertisements; economic inequality; German NUTS1 and NUTS regions; Gini index; Internet;
Other versions of this item:
- Kholodilin, Konstantin A. & Siliverstovs, Boriss, 2012. "Measuring regional inequality by internet car price advertisements: Evidence for Germany," Economics Letters, Elsevier, vol. 116(3), pages 414-417.
- Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," KOF Working papers 10-261, KOF Swiss Economic Institute, ETH Zurich.
- Boriss Siliverstovs & Konstantin Kholodilin, 2012. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," ERSA conference papers ersa12p911, European Regional Science Association.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-31 (All new papers)
- NEP-EUR-2010-07-31 (Microeconomic European Issues)
- NEP-GEO-2010-07-31 (Economic Geography)
- NEP-URE-2010-07-31 (Urban & Real Estate Economics)
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.:
- Francesco D’Amuri & Juri Marcucci, 2010.
"“Google it!”Forecasting the US Unemployment Rate with a Google Job Search index,"
2010.31, Fondazione Eni Enrico Mattei.
- D'Amuri, Francesco/FD & Marcucci, Juri/JM, 2009. ""Google it!" Forecasting the US unemployment rate with a Google job search index," MPRA Paper 18248, University Library of Munich, Germany.
- Vyacheslav Dombrovsky & Konstantin A. Kholodilin & Boriss Siliverstovs, 2011.
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Discussion Papers of DIW Berlin
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