We summarize the general combination approach by Billio et al. [2010]. In the combination model the weights follow logistic autoregressive processes, change over time and their dynamics are possible driven by the past forecasting performances of the predictive densities. For illustrative...

Information on the capital stock employed in a firm is missing in data sets from official statistics in Germany. This paper presents a method to estimate the capital stock of manufacturing enterprises that are covered by the cost structure survey from German official statistics. It uses data...

Information on the capital stock employed in a firm is missing in data sets from official statistics in Germany. This paper presents a method to estimate the capital stock of manufacturing enterprises that are covered by the cost structure survey from German official statistics. It uses data...

Methods for analyzing and modeling count data time series are used in various fields of practice, and they are particularly relevant for applications in finance and economy. We consider the binomial autoregressive (AR(1)) model for count data processes with a first-order AR dependence structure...

We estimate potential GDP for China comparing univariate and multivariate methods and derive a quarterly output gap series. For the multivariate, production function based estimates we employ aggregate data and data on five economic subsectors. We estimate production functions in levels as well...