Inflation and Relative Price Variability in the Euro Area: Evidence from a Panel Threshold Model
Dieter Nautz, Juliane Scharff
Applied Economics,
No. 4,
2012
Abstract
The impact of inflation on Relative Price Variability (RPV) generates an important channel for real effects of inflation. This article provides first evidence on the empirical relation between inflation and RPV in the euro area. Stirred by the widespread use of inflation caps or target bands in monetary policy practice, we are particularly interested in threshold effects of inflation. In line with the predictions of monetary search models, our results indicate that expected inflation significantly increases RPV only if inflation is either very low (below 0.95% per annum (p.a.)) or very high (above 4.96% p.a.).
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Exchange Rate Expectations and the Pricing of Chinese Cross-listed Stocks
Stefan Eichler
Journal of Banking and Finance,
No. 2,
2011
Abstract
I show that the price discounts of Chinese cross-listed stocks (American Depositary Receipts (ADRs) and H-shares) to their underlying A-shares indicate the expected yuan/US dollar exchange rate. The forecasting models reveal that ADR and H-share discounts predict exchange rate changes more accurately than the random walk and forward exchange rates, particularly at long forecast horizons. Using panel estimations, I find that ADR and H-share investors form their exchange rate expectations according to standard exchange rate theories such as the Harrod–Balassa–Samuelson effect, the risk of competitive devaluations, relative purchasing power parity, uncovered interest rate parity, and the risk of currency crisis.
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Exploring the Economic Convergence in the EU New Member States by Using Nonparametric Models
Monica Raileanu Szeles
IWH Discussion Papers,
No. 2,
2011
Abstract
This paper analyzes the process of real economic convergence in the New Member States (NMS) bein g formerly centrally planned economies, using nonparametric methods instead of conventional parametric measurement tools like beta and sigma models. This methodological framework allows the examining of the relative income distribution in different periods of time, the number of modes of the density distribution, the existence of “convergence clubs” in the distribution and the hypothesis of convergence at a single point in time. The modality tests (e.g. the ASH-WARPing procedure) and stochastic kernel are nonparametric techniques used in the empirical part of the study to examine the income distribution in the NMS area. Additionally, random effects panel regressions are used, but only for comparison reasons. The main findings of the paper are the bimodality of the income density distribution over time and across countries, and the presence of convergence clubs in the income distribution from 1995 to 2008. The findings suggest a lack of absolute convergence in the long term (1995-2008) and also when looking only from 2003 onwards. The paper concludes that, in comparison with the parametrical approach, the nonparametric one gives a deeper, real and richer perspective on the process of real convergence in the NMS area.
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Economic Structure and Regional Performance in Germany, 2002-2007
Alexander Kubis, Matthias Brachert, Mirko Titze
European Planning Studies,
No. 2,
2012
Abstract
This paper explores the impact of industrial clusters on regional growth at the German labour market region level using a regional convergence model. Based on the results of an exploratory study of the geography of German industrial clusters, we are able to differentiate the impact of industrial clustering from a horizontal and a vertical perspective while taking regional convergence into consideration. The results indicate that in addition to an all-German process of convergence, a specific East German one can be identified. The different types of industrial clusters show mixed effects within this framework. While vertically isolated industrial clusters have a negative impact on regional growth in this period, positive growth effects can be identified when industrial clusters show an intra-regional vertical interconnectedness.
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Incubation Time, Incubator Age, and Firm Survival after Graduation
Michael Schwartz
International Journal of Entrepreneurship and Innovation Management,
2012
Abstract
On the basis of a sample of 149 graduate firms from five German business incubators, this article contributes to incubator/incubation literature by investigating the effects of the age of the incubators and the firms´ incubation time in securing long-term survival of the firms after leaving the incubator facilities. The empirical findings from Cox proportional hazards regression and parametric accelerated failure time models reveal a statistically significant negative impact for both variables incubator age and incubation time on post-graduation firm survival. One important implication that follows from the empirical results for policy makers and managers of those initiatives is that, when incubator managers become increasingly involved in various regional development activities, this may reduce the effectiveness of incubator support. Also, our finding speaks in favour of a strict limitation of incubation times and reinforces arguments of the supporters of maximum tenancy.
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Investor Rationality and House Price Bubbles: The Case of Berlin and the German Reunification
Oliver Holtemöller, R. Schulz
German Economic Review,
2010
Abstract
We analyze the behavior of investors in the Berlin rental apartment house market over the years 1980–2004. Using constant-quality multipliers (price–rent ratios), we reject the hypothesis that multipliers in the market were set in a rational manner. Supported by narrative evidence, we conjecture that investors misjudged the economic effects of the German reunification. To examine this, we employ a stylized structural economic model and analyze the effects of shocks on rational multipliers. It seems that investors confused the reunification with a permanent supply side shock to the economy. By basing their investment decisions on this misjudgement, investors behaved irrationally, but in a very uncertain and unprecedented environment.
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Testing for Structural Breaks at Unknown Time: A Steeplechase
Makram El-Shagi, Sebastian Giesen
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.
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Human Capital and Fertility in Germany after 1990: Evidence from a Multi-Spell Model
Marco Sunder
IWH Discussion Papers,
No. 22,
2009
Abstract
We analyze the timing of birth of the first three children based on German panel
data (GSOEP) within a hazard rate framework. A random effects estimator is
used to accommodate correlation across spells. We consider the role of human
capital – approximated by a Mincer-type regression – and its gender-specific
effects on postponement of parenthood and possible recuperation at higherorder
births. An advantage of the use of panel data in this context consists in
its prospective nature, so that determinants of fertility can be measured when
at risk rather than ex-post, thus helping to reduce the risk of reverse causality.
The analysis finds evidence for strong recuperation effects, i.e., women with
greater human capital endowments follow, on average, a different birth history
trajectory, but with negligible curtailment of completed fertility.
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Openness and Income Disparities: Does Trade Explain The 'Mezzogiorno' Effect?
Claudia M. Buch, P. Monti
Review of World Economics,
No. 4,
2010
Abstract
We use Italian regional data to answer the question whether trade affects within-country income differentials. In Italy, the more affluent Northern regions trade more with the rest of the world than the poorer ones in the Southern “Mezzogiorno” regions. Prima facie, there is a positive correlation between external trade and per capita income. Studying this relationship empirically requires taking into account the endogenous component of trade. We argue that panel cointegration models can complement instrumental variables techniques to account for the endogeneity of trade in a panel context. Both methods show a positive link between trade openness and the level of income per capita.
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