We consider the properties of nonlinear exponential smoothing state space models under various assumptions about the innovations, or error, process. Our interest is restricted to those models that are used to describe non-negative observations, because many series of practical interest are so...

We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985; International Journal of Forecasting 1985-2005). During this period, over one third of all papers published in these...

In spite of the analysis of sophisticated developments and their effects in the agricultural sector, measuring composite index of agricultural development depending upon main statistical indicators in the determination of the level of agricultural sector developments is one of the important...

Correct assessment of the risks associated with likely economic outcomes is vital for effective decision making. The objective of investment in the stock market is to obtain positive market returns. The risk, however, is the danger of suffering large negative market returns. A variety of...

A new technique for estimating market power in several markets simultaneously is developed and applied to the Australian retail beef, lamb, and pork markets. Some support is found for the restriction that market power is the same for each meat. Given equal market power in all three meats, we...

Accession negotiations between Turkey and the EU have been opened and the screening process has been underway since October 2005. No doubt that one of the most important and potentially troublesome chapters will be agriculture throughout the process of negotiations. Agricultural negotiations...

This article uses linear and nonlinear diffusion index models to forecast, one step ahead, the quarterly growth rate of Brazilian Agricultural GDP. These models are composed by common factor which allow a significant reduction in the number of the original explanatory variables. After comparing...

In this paper, we ask whether it is possible to forecast gross-value added (GVA) and its sectoral sub-components at the regional level. We are probably the first who evaluate sectoral forecasts at the regional level using a huge data set at quarterly frequency to investigate this issue. With an...