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DIW Wochenbericht 4 / 2014
2014
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DIW Economic Bulletin 6 / 2013
When speculative price bubbles on real estate markets burst, the effects for the real economy are often devastating taking the form of substantial losses in production and employment. This paper discusses the degree to which institutional frameworks can prevent speculative bubbles from emerging and expanding. Comparing experiences in different countries indicates that, in Germany, institutional regulations ...
2013| Christian Dreger, Konstantin A. Kholodilin
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Diskussionspapiere 1360 / 2014
In this paper, we evaluate the forecasting ability of 115 indicators to predict the housing prices and rents in 71 German cities. Above all, we are interested in whether the local business confidence indicators can allow substantially improving the forecasts, given the local nature of the real-estate markets. The forecast accuracy of different predictors is tested in a framework of a quasi out-of-sample ...
2014| Konstantin A. Kholodilin, Boriss Siliverstovs
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Sonstige Publikationen des DIW / Aufsätze 2009
2009| Oleg Badunenko, Nataliya Barasinska, Dorothea Schäfer
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SOEPpapers 368 / 2011
Little is known about how far young adults move when they leave their parental home initially. We addressed this question using data from ten waves (2000 - 2009) of the German Socioeconomic Panel Study on spatial distances calculated by the geo-coordinates of residential moves (N = 1,425). Linear regression models predicted young adults· moving distance by factors at the individual, family, household, ...
2011| Thomas Leopold, Ferdinand Geißler, Sebastian Pink
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DIW Economic Bulletin 12 / 2012
Over the past few years, prices and rents for flats went up in most German cities. This trend is expected to continue in 2013. Berlin, Hamburg, Munich, and Frankfurt am Main will still see the highest increases in property prices and rents. In these cities, housing prices are rising much faster than rents. By contrast, stagnating or even falling prices are forecast for the cities in the Ruhr area. ...
2012| Konstantin A. Kholodilin, Andreas Mense
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Diskussionspapiere 1191 / 2012
In this paper, we suggest to estimate the home rents and prices in German regions/cities using the data from Internet ads offering the housing for rent and sale. Given the richness of information contained in the ads, we are able to construct the quality-adjusted rent and price indices using the hedonic approach. The results can be applied both for investigating the dynamics of rents/prices and for ...
2012| Konstantin A. Kholodilin, Andreas Mense
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Diskussionspapiere 1142 / 2011
In this paper, we construct the country-specific chronologies of the house price bubbles for 12 OECD countries over the period 1969:Q1- 2010:Q2. These chronologies are obtained using a combination of a fundamental and a filter approaches. The resulting speculative bubble chronology is the one that provides the highest concordance between these two techniques. In addition, we suggest an early warning ...
2011| Christian Dreger, Konstantin A. Kholodilin
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Externe Monographien
In this paper, the authors construct country-specific chronologies of house price bubbles for 12 OECD countries over the period 1969:Q12009:Q4. These chronologies are obtained using a combination of fundamental and filter approaches. The resulting speculative bubble chronology is the one providing the highest concordance between these two techniques. In addition, the authors suggest an early warning ...
Kiel:
IfW,
2012,
23 S.
(Economics: The Open-Access, Open-Assessment E-Journal : Discussion Papers ; 2012-44)
| Christian Dreger, Konstantin A. Kholodilin
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Referierte Aufsätze Web of Science
For many analysts, the Chinese economy is being spurred on by a bubble in the housing market, probably driven by the fiscal stimulus package and massive credit expansion, with potentially adverse effects on the real economy. The house price development is investigated by panel cointegration techniques. Evidence is based on a data-set for 35 major cities. Cointegration is detected between real house ...
In:
Urban Policy and Research
31 (2013), 1, S. 27-39
| Christian Dreger, Yanqun Zhang