Classical Pooling Model as Applied to Crimes Against Property in the Sudan

The research deals with data that is available for both time series - deferent periods of time for one individual - and cross section data - one period of time for deferent individuals in, with application to crimes against property in the Sudan, the study concluded that the estimates obtained from pooled model is more efficient than those obtained from separate analyses. Therefore, if data is available for both time series and cross section data it?s better to pool them than to analyze them separately, and form the view of the case study it concluded that crimes against property in the Sudan is highly correlated with population size and most of the variations in crimes against property in the Sudan is due to population size, i. e. the hypotheses of the research are satisfied, the study recommended that efforts must be toward development in the states to encourage opposite migration and hence, distribution of population among states becomes normal and Increase the expenditure on security and control, particularly in the states with high density of population.