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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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Externe Monographien
The building sector is a key focus area of the Energy Concept of the German Federal Government, among other reasons because it has the potential to avoid a large share of CO2 emissions while also saving costs. Thus far, however, only a small percentage of residential building owners have undertaken comprehensive thermal retrofits, and the target retrofit rate of 2% remains a distant goal. In order ...
Berlin:
CPI ; DIW,
2012,
17 S.
(CPI Report)
| Hermann Amecke, Karsten Neuhoff, Kateryna Stelmakh
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Diskussionspapiere 1212 / 2012
In this paper, we construct a data set of Internet offer prices for flats in 48 large European cities from 24 countries. The data are collected in January - April 2012 from 33 websites, where the advertisements of flats for sale are placed. Using these data we investigate the determinants of the flat prices. Four factors are found to be relevant for the flats' price level: income per capita, population ...
2012| Konstantin A. Kholodilin
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Diskussionspapiere 1216 / 2012
The price for a single-family house depends both on the characteristics of the building and on its location. We propose a novel semiparametric method to extract location values from house prices. After splitting house prices into building and land components, location values are estimated with adaptive weight smoothing. The adaptive estimator requires neither strong smoothness assumptions nor local ...
2012| Jens Kolbe, Rainer Schulz, Martin Wersing, Axel Werwatz
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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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SOEPpapers 459 / 2012
Following the discussion on reurbanization (changing intra-regional migration patterns), our research project treats transport-related consequences of this spatial development in German city regions. The hypothesis is that reurbanization bears potential to spread environmentally friendly ways of organizing daily mobility - but that the chance ofthose positive effects might be given away, if policy ...
2012| Gesa Matthes
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DIW Economic Bulletin 1 / 2012
2011 was one of the construction industry's strongest years of growth since German reunification. For the year as a whole, a nominal increase in construction volume of almost eight percent is expected. The price increase is forecast at over 2.5 percent. Real construction volume in 2011 will be over five percent higher than in 2010. However, according to current information, we can expect the construction ...
2012| Martin Gornig, Hendrik Hagedorn
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DIW Economic Bulletin 1 / 2012
2012
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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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Diskussionspapiere 1111 / 2011
The very first minimum wage in Germany was introduced in 1997 for blue-collar workers in sub-sectors of the construction industry. In the setting of a natural experiment blue-collar workers in neighboring 4-digit-industries and white-collar workers are used as control groups for differences-in-differences-in-differences estimation based on linked employer-employee data. Estimation results reveal a ...
2011| Pia Rattenhuber