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We develop distress prediction models for non-financial small and medium sized enterprises (SMEs) using a dataset from eight European countries over the period 2000-2009. We examine idiosyncratic and systematic covariates and find that macro conditions and bankruptcy codes add predictive power...
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Newly-available Indian panel data is used to estimate how the returns to planting-stage investments vary by rainfall realizations. [BREAD Working Paper No. 392]. URL:[http://ipl.econ.duke.edu/bread/papers/working/392.pdf].
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According to housing investment models, house prices and replacement costshould have an equilibrating relationship. Previous empirical work|mainlybased on aggregate-level data|has found only little evidence of such a relationship.By using a unique data set, covering transactions of...
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Prediction markets have proven high forecasting performance in many areas such as politics, sportsand business …
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Macroeconomic risk assessments play an important role in the forecasts of manyinstitutions. However, to the best of our knowledge their performance has notbeen investigated yet. In this work, we study the Bank of England’s risk forecastsfor inflation. We find that these forecasts do not...
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represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic …
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