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Human Capital Formation in Bangladesh

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Human Capital Formation in Bangladesh
Human Capital Formation and Economic Development in Bangladesh: A Time Series Analysis

Corresponding Author
Usman Qammar
M.Phil Scholar, National College of Business Administration and Economics (NCBA&E), 40-E/I, Gulberg-III, Lahore-54600, Pakistan.
Email: economistusman@yahoo.com
Cell # 0092-03216525081

Human Capital Formation and Economic Development in Bangladesh: A Time Series Analysis
Abstract:
It is generally accepted in Economics that there is a great role of human capital formation in determining the national income. This is the basic need and the general priority need of any country to make policies for the human welfare and Economic Development of the country. The study uses the GDP as a dependent variable and Gross capital Formation, Secondary school Education and Labour Force Total as Independent variables. We use the 29 years data since 1980 to 2009. The data is collected from WDI. ARDL approach is used to check the long run co-integration between the variables. The Granger Causality test is use to check the causal relationship between the variables. The results of ARDL co-integration shows that there is no co-integration exist among the variables. Secondary School education does granger cause to the Gross capital formation. But the Gross capital formation does not granger cause to the Secondary school education. In this way, the results also shows that GDP does granger cause to the Secondary School education but Secondary school education does not Granger cause to the GDP. The results also shows that Secondary school education also does Granger Cause to the Labour Force Total but the labour force total does not Granger cause to the Secondary School Education.
Keywords: Human capital formations, physical capital, Secondary school education, labour force total.

1. Introduction:
It is generally accepted in Economics that there is a great role of human capital formation in determining the national income. This is the basic



References: 1. Appiah, E. N., and McMahon, W. W. (2002). The social outcomes of education and feedbacks on growth in Africa. Journal of Development Studies, 38, 27–68. 2 3. Dickey, D.A., and Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root, Econometrica, 49(4), 1057-1072. 4 5. Hall, R and Jones, C. (1999). Why Do Some Countries Produce So Much More Output Per Worker Than Others? Quarterly Journal of Economics, 114(1), 83-116. 6 7. Jodson, R. (1998). Economic Growth and Investment in Education: How Allocation Matter. Journal of Economic Growth, 3(4), 337-359. 8 9. Oketch, M.O. (2002). Human resource development and Africa’s economic growth: Perspectives for policy planning in Kenya. Unpublished Ph.D. dissertation, University of Illinois at Urbana-Champaign. 10 11. Granger, C.W.J., (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37 (3), 424–438. 12 13. Johnson, H. G. (1958). International Trade and Economic Growth. Cambridge: Harvard University Press. 14 15. Johansen, S. and Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Co-integration with Applications to the Demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169-210. 16 17. Mankiw, N. G., Romer, D. and Weil, D. N. (1992). A Contribution to the Empirics of Economic Growth. Quarterly Journal of Economics, 107(2), 407-437. 18 19. Pesaran, M. H. and Pesaran, B. (1997). Working with Microfit 4.0: Interactive Econometric Analysis. Oxford: Oxford University Press. 20 21. Pesaran, M. H., Shin, Y. and Smith, R. J. (2001). Bound Testing Approaches to the Analysis of level Relationships. Journal of Applied Econometric, 16(3), 289-326 22 23. Silles M.A. (2009). The causal effect of education on health: Evidence from the United Kingdom. Economic of Education Review, 28, 122-128. 24

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