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Macro Economic Models in Developing Countries


  • Kamal Raj Dhungel

    (Tribhuvan University)


In seeking solutions for various planning and policy issues of economic development, quantitative tools have been used widely. Macro-models influenced by Keynesian income expenditure theory are often used to redress short-term stabilization problems, however, no consensus among policy makers in developing countries exists due to widerspread differentiations remained in the socio-economic conditions and banking practices. On the basis of prevailing macro-economic conditions of the country, various models such as investment function, government investment expenditure, trade-imports and exports, industrial and agricultural sectors, services sector and models governing monetary aspects and revenue have been introduced. Most of the models include lag endogenous variable as an explanatory variable to capture the partial adjustments.

Suggested Citation

  • Kamal Raj Dhungel, 1999. "Macro Economic Models in Developing Countries," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 11, pages 1-14, April.
  • Handle: RePEc:nrb:journl:v:11:y:1999:p:1-14

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    References listed on IDEAS

    1. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(02), pages 280-310, April.
    2. John M. Piotrowski & Rabah Arezki & Reda Cherif, 2009. "Tourism Specialization and Economic Development; Evidence from the UNESCO World Heritage List," IMF Working Papers 09/176, International Monetary Fund.
    3. Ling, Shiqing & McAleer, Michael, 2002. "NECESSARY AND SUFFICIENT MOMENT CONDITIONS FOR THE GARCH(r,s) AND ASYMMETRIC POWER GARCH(r,s) MODELS," Econometric Theory, Cambridge University Press, vol. 18(03), pages 722-729, June.
    4. Chang, Chia-Lin & Sriboonchitta, Songsak & Wiboonpongse, Aree, 2009. "Modelling and forecasting tourism from East Asia to Thailand under temporal and spatial aggregation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1730-1744.
    5. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    6. Ling, Shiqing & McAleer, Michael, 2002. "Stationarity and the existence of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 106(1), pages 109-117, January.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    9. Christine Lim & Michael McAleer, 2000. "A seasonal analysis of Asian tourist arrivals to Australia," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 499-509.
    10. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    11. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    12. Lim, Christine & McAleer, Michael, 1999. "A seasonal analysis of Malaysian tourist arrivals to Australia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 573-583.
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