Application of multilevel and panel data statistical techniques in modelling the amount of rainfall in selected locals in the Greater Accra Region.

Abstract

This study assessed the factors that affects the amount of rainfall in Ghana. Knowing the factors that influence the amount of rainfall in a given geographical area is very important for planning and decision-making purposes. In this study, temperature, relative humidity, locality and the seasons that these factors occur were considered in determining the amount of rainfall received on land. Multilevel and panel data analysis techniques were used to analyze the data gathered from 2001-2015. The study reveals that temperature has effect on rainfall whiles relative humidity has no significant effect on the amount of rainfall experienced in the selected areas used for the study. The result shows that rainfall is maximized when temperature and relative humidity are at high levels and few rainfalls is expected when both parameters are at low levels. The study also highlighted on the importance of the study variables on food production in Ghana.