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1、Promoting gender inequality and empowering women is one of the Millennium Development Goals (MDGs) set by United Nations.It is on public policy agenda of almost every country of the world because inequality on the basis
2、of gender cannot be justified on any ethical or philosophical basis.This thesis attempts to investigate the
impact of gender inequality on economic growth in Central African Republic using
time series data from
3、 1990 to 2012.Five variables namely gross domestic product per capita, labor force participation growth; gross capital formation (investment), trade openness and a composite index of gender inequality have been considere
4、d in the model.The Augmented Dickey-Fuller (unit root) test has been employed to check for stationary data; it applies Johansen Cointegration test to determine the presence and number of cointegration equation.Then, to c
5、haracterize the long-run and short-run dynamics, the vector error correction model (VECM) approach has been used; it employs also the stability test to have correctly specified the number of cointegrating equations and G
6、ranger causality test to check for the sense of causality.The results show that there are not short run causality running from labor force, trade openness, gross capital formation and gender inequality index to gross dom
7、estic product per capita.The VECM diagnostic checking shows that our model is well to determine the effect of the explanatory variables on the explanation variable.In long-run, data analysis indicates that there is the e
8、xistence of an equilibrium relationship between the gross domestic product per capita and gross capital formation and gender inequality index.Both variables such as gross capital formation and gender inequality have stat
9、istically significance and negative impact on economic growth.The stability check does not indicate that our model is misspeficied.The Granger causality test indicates that gender inequality granger causes gross domestic
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