This paper has addressed a very important policy question of Bangladesh. This examines the causality among education, employment, FDI and GDP growth in Bangladesh by using time series data from 1980 to 2013. Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests show that the time series data is stationary at first difference. Then, the Johansen cointegration analysis indicates that the variables have strong, positive and significant linear relationship between them at .05 level of significance. Granger causality test found the unidirectional causality between employment and literacy rate and also between literacy rate and FDI. Again this empirical Granger causality test found that employment and FDI Granger causes GDP in unidirectional way. Finally, the Vector Error Correction Model (VECM) is also used to check the short and long run equilibrium relationships among the variables and the significant results have been found. This study gives the guideline to the researchers and policy makers.
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