Policy Priorities to Reduce Excessive Rate of Population Growth in Underdeveloped Countries
Journal Title: IOSR Journal of Humanities and Social Science - Year 2018, Vol 23, Issue 1
Abstract
This study addresses one of the most important policy issues for underdeveloped countries: what are the factors which must be addressed, when designing effective policy to reduce excessive rate of population growth. We introduce quantitative model based on cross-national data in order to find out what are the most important variables associated with population growth. The model is based on Soft Regression (SR) method. This method is based on Fuzzy Information Processing and Heuristic approach. In contrast to traditional statistical regression methods, it does not require restrictive conditions (which often contradict the “real world” conditions), and thus avoids computational distortions when such conditions are violated. It allows us to include in the model all the relevant explanatory variables without losing some variables due to multi-collinearity problem. Moreover, SR method performs reliable computation of relative importance of the explanatory variables, which is a very helpful feature for determining policy priorities. The main conclusion of this study is: Secondary and Tertiary Education enrollment variables are the most important policy variables to reduce excessive rate of population growth. JEL classification:C21, J10, O20.
Authors and Affiliations
Eli Shnaider, Nava Haruvy, Arthur Yosef
Keywords
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