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We investigate the importance of aggregate and consumer-specific or idiosyncratic labour income risk for aggregate consumption changes in the US over the period 1952-2001. Theoretically, the effect of labour income risk on consumption changes is decomposed into an aggregate and into an...
Persistent link: https://www.econbiz.de/10011372981
between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps …
Persistent link: https://www.econbiz.de/10011662005
The ratio of consumption to total household wealth (i.e., tangible assets plus unobserved human wealth) is commonly calculated from the estimation of a log-linear version of the household intertemporal budget constraint as a cointegrating relationship between consumption, assets and earnings...
Persistent link: https://www.econbiz.de/10011844588
confidence band for the world risk aversion estimate from the pooled country data is much tighter and the pooled point estimate …
Persistent link: https://www.econbiz.de/10011379612
Persistent link: https://www.econbiz.de/10003934133
Persistent link: https://www.econbiz.de/10009720736
A Bayesian dynamic compositional model is introduced that can deal with combining a large set of predictive densities. It extends the mixture of experts and the smoothly mixing regression models by allowing for combination weight dependence across models and time. A compositional model with...
Persistent link: https://www.econbiz.de/10012431874
A flexible predictive density combination model is introduced for large financial data sets which allows for dynamic weight learning and model set incompleteness. Dimension reduction procedures allocate the large sets of predictive densities and combination weights to relatively small sets....
Persistent link: https://www.econbiz.de/10012816959
A flexible forecast density combination approach is introduced that can deal with large data sets. It extends the mixture of experts approach by allowing for model set incompleteness and dynamic learning of combination weights. A dimension reduction step is introduced using a sequential...
Persistent link: https://www.econbiz.de/10011989086
A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive densities and combination weights to relatively small subsets. Given the...
Persistent link: https://www.econbiz.de/10013332662