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An Empirical Investigation of Short and Long-run Agricultural Wage Formation in Ghana

Author

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  • Abdulai, Awudu
  • Delgado, Christopher L.

Abstract

This paper investigates empirically the factors that influence real agricultural wage rates in Ghana, based on 1957 to 1991 data. The Johansen cointegration framework is used to examine long-run relationships among agricultural and urban wage rates, the domestic terms of trade between agriculture and nonagriculture, urban unemployment, capital stock in agriculture and the size of the rural population. An error correction model is then used to investigate short-run dynamic relationships among the variables. The results show that: (1) there is only one stable equilibrium relationship among agricultural wage rates and their determinants in the long-run; (2) a 1 percent change in the domestic terms of trade between agriculture and non-agriculture leads to a 0.48 percent change in the real agricultural wage rate in the short-run and a 0.83 percent change in the long run; (3) the analysis suggests a one-time and one way upwards structural shift of 3.6 percent in real agricultural wages during the 1980s.

Suggested Citation

  • Abdulai, Awudu & Delgado, Christopher L., 1999. "An Empirical Investigation of Short and Long-run Agricultural Wage Formation in Ghana," MTID Discussion Papers 97382, CGIAR, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:ags:iffp12:97382
    DOI: 10.22004/ag.econ.97382
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    References listed on IDEAS

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    1. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100, Elsevier.
    2. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    3. Christopher L. Delgado & John W. Mellor, 1984. "A Structural View of Policy Issues in African Agricultural Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(5), pages 665-670.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    6. Hall, Stephen G & Milne, Alistair, 1994. "The Relevance of P-Star Analysis to UK Monetary Policy," Economic Journal, Royal Economic Society, vol. 104(424), pages 597-604, May.
    7. Jaeger, W.K., 1992. "The Effects of Economic Policies on African Agriculture," World Bank - Discussion Papers 147, World Bank.
    8. Sargent, Thomas J, 1978. "Estimation of Dynamic Labor Demand Schedules under Rational Expectations," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1009-1044, December.
    9. Beals, Ralph E & Menezes, C F, 1970. "Migrant Labour and Agricultural Output in Ghana," Oxford Economic Papers, Oxford University Press, vol. 22(1), pages 109-127, March.
    10. Johansen, Kare & Strom, Bjarne, 1997. "Wages, Prices and Politics: Evidence from Norway," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 511-522, November.
    11. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    12. Perron, P, 1993. "Erratum [The Great Crash, the Oil Price Shock and the Unit Root Hypothesis]," Econometrica, Econometric Society, vol. 61(1), pages 248-249, January.
    13. Boyce, James K & Ravallion, Martin, 1991. "A Dynamic Econometric Model of Agricultural Wage Determination in Bangladesh," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 53(4), pages 361-376, November.
    14. Gregory, Allan W. & Nason, James M. & Watt, David G., 1996. "Testing for structural breaks in cointegrated relationships," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 321-341.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. Param Silvapulle & Sisira Jayasuriya, 1994. "Testing For Philippines Rice Market Integration: A Multiple Cointegration Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(3), pages 369-380, September.
    17. Delgado, Christopher L. & Mellor, John W., 1984. "A Structural View Of Policy Issues In African Agricultural Development," 1984 Annual Meeting, August 5-8, Ithaca, New York 279035, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Raaj Kumar Sah & Joseph E. Stiglitz, 1987. "Price Scissors and the Structure of the Economy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(1), pages 109-134.
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