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It is important to know the future movement of economic variables for the planning and development of a country, Vector Error Correction (VEC) Model has been applied to disclose hidden long run as well as short-run patterns of the selected variables. ADF unit root testing procedure was applied to satisfy the conditions of applying the VEC Model. Using Johansen cointegration test long-run cointegration has been justified. But the VEC model reveals that long run significant causal relationship between the variables whereas there is no short-run causal relationship. The parameter was estimated using the OLS estimation technique. The validity of the model was confirmed by applying different quantitative approaches such as normality test, autocorrelation test, Portmanteau test, Unit root test, and various graphical approaches which suggested model selection and estimation were correct. The result of this present study may help Govt. agencies as well as planners to take an idea.

The study is concerned with caesarian and normal delivery and its effectiveness on childbirth which has more impact on Bangladesh. We identified that, higher educated and higher income families are choosing caesarian section for childbirth because of improved safety of surgical skill to reduce the mortality rate. Although expensive, most caesarian operations are performed in private hospitals for modern medical equipment, experienced doctors and advanced medical care. A questionnaire survey design was applied in order to make a comparative study on caesarian and normal delivery childbirth. Respondents from all over Bangladesh participated in the survey. We collect 281 data from the respondents of different districts of Bangladesh by area sampling. We use descriptive and analytical research designs in determining the comparative study on caesarian and normal delivery childbirth in Bangladesh. The results of study show that the variance of children taken by caesarian delivery is less than children taken by normal delivery and children taken by caesarian delivery increase due to increased family income. It has been found that 39.5% (111) respondents are from the Urban area and 60.5% (171) from the rural zone. We can say that more than 50% of our respondents are well-educated. We also found that 53.4% of the respondents do not face any problem in C/S. We found that family income has a positive linear relationship with the C-section deliveries, which means that higher incoming people tend to have the C-section more. Finally, we observed that change in rate of caesarian delivery due to changing living places and normal delivery is recommended for the next generation. By Meta analysis we found that number of cesarean delivery baby is independent of locality and education level.