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What can we learn from univariate time series models? The case of sugar production in Mauritius 1879-1987

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  • Lallmahomed, Naguib
  • Taubert, Peter
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    Abstract

    In this paper, we attempt to show the validity and limits of univariate time series modeling applied to annual production of sugar in Mauritius form 1879 to 1987. We analyse the series through the main components of long-term growth and stationary dynamics of short-term coupled with the impact of exogenous shocks.

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    File URL: http://mpra.ub.uni-muenchen.de/40900/
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    Bibliographic Info

    Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 40900.

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    Date of creation: 23 Feb 1989
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    Publication status: Published in Bulletin du GREED, Groupe de Recherche en Economie de Developpement, Universite de Paris I (Pentheon-Sorbonne) February 1989.No. 10(1989): pp. 39-51
    Handle: RePEc:pra:mprapa:40900

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    Keywords: univariate time series modeling; sugar production; Mauritius;

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    1. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-10, November.
    2. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    3. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
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