it is well-established that for a considerable period the united kingdom has spent proportionally less of its gross domestic product (gdp) on health-related services than almost any other comparable country. average european spending on health (as a % of gdp) in the period 1980 to 2013 has been 19% higher than the united kingdom, indicating that comparable countries give far greater fiscal prio...

This paper examines the impact of government expenditure on the Nigerian economy for the period 1983 - 2012. The government expenditure components used as the explanatory variables in the model are: expenditures on Health, Education, Defense, Agriculture and Transportation and Communication. The Gross Domestic Product (GDP) was used as a parameter for measuring economic growth. In order to esta...

this paper examines the impact of government expenditure on the nigerian economy for the period 1983 - 2012. the government expenditure components used as the explanatory variables in the model are: expenditures on health, education, defense, agriculture and transportation and communication. the gross domestic product (gdp) was used as a parameter for measuring economic growth. in order to esta...

GDP The gross domestic product POP The population GDP CAP The gross domestic product per capita LOSS The system power losses (MW) EP Electricity consumption (Multiplication of electricity consumption by population) LF Load factor R/S Cost of one kWh (milliamps/kWh) (cost of Energy).

There is a degree of uncertainty in the measurement and/or validation of national and sub-national economic data such as Gross Domestic Product (GDP). In some circumstances it can be very useful to have alternative measures of numbers like GDP to provide evidence for the validation or invalidation of claims of some nations or regions regarding their economic productivity. This research explores...

Time series of quarterly observations on Gross Domestic Product (GDP) is collected and used in this study. Forecasting results of ANNs are compared with those of the Autoregressive Integrated Moving Average (ARIMA) and regression as benchmark methods. Using Root Mean Square Error (RMSE), the empirical results show that ANN performs better than the traditional methods in forecasting GDP.