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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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Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to …
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shown to be specific for commodity and market. A forecasting comparison on the basis of the identified models suggests that …
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The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the …
Persistent link: https://www.econbiz.de/10010292149
This paper proposes a Bayesian nonparametric modeling approach for the return distribution in multivariate GARCH models. In contrast to the parametric literature, the return distribution can display general forms of asymmetry and thick tails. An infinite mixture of multivariate normals is given...
Persistent link: https://www.econbiz.de/10010292242
This paper presents a simple methodology for decomposing changes in the aggregate labor force participation rate (LFPR) over time into demographic group changes in labor force participation behavior and in population share. The purpose is to identify the relative importance of behavioral changes...
Persistent link: https://www.econbiz.de/10010292316
-term predictions. Due to the characteristics of the residuals, a bootstrapping method of forecasting was also used, yielding even …
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