This paper provides time-series and cross-sectional budget survey analyses of the demand for food in the United States and the Netherlands according to the tasks set by Jan Magnus and Mary Morgan (MM). Various econometric methods, including weighted least squares (WLS), cointegration, error...

This paper evaluates the impact of openness on growth in different country groups using a panel of 79 countries over the period 1970-98. It distinguishes itself from many existing studies in three aspects: Firstly, both trade and FDI are included as measures of openness. Secondly, countries are...

Climate change has important implications for business and economic activity. Effective management of climate change impacts will depend on the availability of accurate and cost-effective forecasts. This paper uses univariate time series techniques to model the properties of a global mean...

Local bus services in Britain (excluding London) were deregulated in October 1986. Bus vehicle kilometres increased after deregulation, but passenger journeys fell and bus fares increased in real terms. The inability to reverse the long-run decline in passenger journeys and the increase in bus...

This paper adopts a dynamic approach to investigate the impact of openness on efficiency improvement of the world economy and compares the linkages between openness and performance in India and China. Based on a panel of data set of 126 countries over the period 1970-98, the world production...

This paper adopts a dynamic approach to investigate the impact of openness on efficiency improvement of the world economy and compares the linkages between openness and performance in India and China. Based on a panel of data set of 126 countries over the period 1970-98, the world production...

This study evaluates the forecasting accuracy of five alternative econometric models in the context of predicting the quarterly international tourism demand in 25 countries or country groupings. Tourism demand is measured in terms of tourist expenditure by inbound international visitors in a...

This paper presents a new optimal method for model estimation of the unknown parameters of circuit-based proton exchange membrane fuel cells (PEMFCs). The main idea is to minimize the sum of squared error (SSE) value between the actual data and the estimated results. The optimization process...