A panel of ex-ante forecasts of a single time series is modeled as a dynamic factor model, where the conditional expectation is the single unobserved factor. When applied to out-of-sample forecasting, this leads to combination forecasts that are based on methods other than OLS. These methods...

Results from business tendency surveys are often used to construct leading indicators. The indicators are then, for example, employed to forecast GDP growth. In this article more detailed results of business tendency surveys are used to forecast quarter-onquarter GDP growth. The target series is...

The objective of this paper is to examine the role of the factors expected to influence the success potential of small holder irrigation projects as they apply in the South African context. The study was conducted in six smallholder irrigation schemes in three provinces namely: Eastern Cape,...

Purpose – This paper aims to develop a multivariate model that will be applicable to the Nigeria construction industry. Design/methodology/approach – A self-administered questionnaire survey was used to source information on project scope factors and qualitative factors considered in the...

The purpose of this study is twofold: 1. examine the relationship between service quality dimensions and customer satisfaction with bank territorial units; 2. establish which quality measure method out of the four considered in this study should be applied in order to better determine the areas...

This paper considers methods for forecasting macroeconomic time series in a framework where the number of predictors, N, is too large to apply traditional regression models but not sufficiently large to resort to statistical inference based on double asymptotics. Our interest is motivated by a...

The price transmission between markets is often interpreted as providing insights into the market’s infrastructure efficiency and transaction costs. Thus, finding a possible explanation for the degree of integration has become an issue of special interest. Recent researchers have pointed out...

This paper considers methods for forecasting macroeconomic time series in a framework where the number of predictors, N, is too large to apply traditional regression models but not su¢ciently large to resort to statistical inference based on double asymptotics. Our interest is motivated by a...

Selected Paper prepared for presentation at the Agricultural & Applied Economics Association’s 2011 AAEA & NAREA Joint Annual Meeting, Pittsburgh, Pennsylvania, July 24-26, 2011. (Poster Presentation)