A Simplified Vector Autoregressive Model Application on The Philippine Economic Performance During the Period 1965-2010
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- Roemer, Michael, 1979. "Resource-based industrialization in the developing countries : A survey," Journal of Development Economics, Elsevier, vol. 6(2), pages 163-202, April.
- James H. Stock & Mark W. Watson, 2017. "Twenty Years of Time Series Econometrics in Ten Pictures," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 59-86, Spring.
- Laurent Derobert & Guillaume Thieriot, 2003. "The Lorenz curve as an archetype: A historico-epistemological study," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 10(4), pages 573-585.
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