Are Qualitative Inflation Expectations Useful to Predict Inflation?
Rolf Scheufele
Journal of Business Cycle Measurement and Analysis,
No. 1,
2011
Abstract
This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.
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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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The Relationship between Knowledge Intensity and Market Concentration in European Industries: An inverted U-Shape
Niels Krap, Johannes Stephan
IWH Discussion Papers,
No. 3,
2008
Abstract
This paper is motivated by the European Union strategy to secure competitiveness for Europe in the globalising world by focussing on technological supremacy (the Lisbon - agenda). Parallel to that, the EU Commission is trying to take a more economic approach to competition policy in general and anti-trust policy in particular. Our analysis tries to establish the relationship between increasing knowledge intensity and the resulting market concentration: if the European Union economy is gradually shifting to a pattern of sectoral specialisation that features a bias on knowledge intensive sectors, then this may well have some influence on market concentration and competition policy would have to adjust not to counterfeit the Lisbon-agenda. Following a review of the available theoretical and empirical literature on the relationship between knowledge intensity and market structure, we use a larger Eurostat database to test the shape of this relationship. Assuming a causality that runs from knowledge to concentration, we show that the relationship between knowledge intensity and market structures is in fact different for knowledge intensive industries and we establish a non-linear, inverted U-curve shape.
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FDI and Corporate Tax Revenue: Tax Harmonization or Competition?
Reint E. Gropp, Kristina Kostial
Finance & Development,
No. 2,
2001
Abstract
OECD countries with high corporate tax rates have experienced both high net outflows of foreign direct investment and a decline in corporate tax revenue. Identification of a causal link between these two trends has implications for the debate on tax harmonization versus tax competition.
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Efficiency of qualification and job creating measures in East Germany
Annette Bergemann, Birgit Schultz
Wirtschaft im Wandel,
No. 9,
2000
Abstract
This paper evaluates job creation schemes and further training in East Germany for the period 1990-1998. We identify the causal effect of the treatment-on-the-treated by a two-step procedure: First, we apply the matching technique based on estimated propensity scores. Secondly, we use the Difference-in-Differences estimator. Hereby, we take especially consideration on Ashenfelter s Dip, which characterize a significant decrease in the participants employment shortly before the start of a program. This can be assumed to be related to the anticipation of the participation.
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