pooling sub-groups within a level and also allow the estimation of a large number of parameters with relatively fewer … observations by leveraging information across pooled groups using empirical and hierarchical Bayes' estimation. We combine this … technique within a three-stage model using store-level data for stores that sold the brand, to forecast sales in Stores that …

multiple stochastic volatility processes. The estimation is based on annual consumption data from 1929 to 1959, monthly … Bayesian estimation provides strong evidence for a small predictable component in consumption growth (even if asset return data … are omitted from the estimation). Three independent volatility processes capture different frequency dynamics; our …

consumption and dividend growth and multiple stochastic volatility processes. The estimation is based on annual consumption data … the volatility processes. Our Bayesian estimation provides strong evidence for a small predictable component in … consumption growth (even if asset return data are omitted from the estimation). Three independent volatility processes capture …

multiple stochastic volatility processes. The estimation is based on annual consumption data from 1929 to 1959, monthly … Bayesian estimation provides strong evidence for a small predictable component in consumption growth (even if asset return data … are omitted from the estimation). Three independent volatility processes capture different frequency dynamics; our …