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Technology, Employment, and the Oil-Countries Business Cycle


  • Rodolfo Mendez-Marcano


On the ground of the significance and potential dual-nature of oil price shocks- they may act simultaneously like pure technology and pure expenditure shocks- in the context of the oil-countries-net oil-exporters with a substantial share of oil-income on their total export an/or fiscal-income. The paper questions the validity in such context of Gal s (1999) influential methodology for evaluating- so far, negatively- the empirical merits of it aimed to restore such validity by disentangling oil-price shocks from the rest of shocks. The comparison of the results from the application of both methodologies to Norway, Mexico, Russia, Trinidad&Tobago and Venezuela, besides supporting the dual-nature hypothesis and the necessity of such disentangling, proves the latter to be instrumental to get results consistent with Gal s (1999). Additionally, the paper unveil some startling facts about the effects of oil price shocks in this context remarkably, the prevalence of their technological-nature when oil-income has a higher weight on export than on fiscal-income, and of their expenditure-nature otherwise and shed some light on the influence of institutional reform on such effects.

Suggested Citation

  • Rodolfo Mendez-Marcano, 2014. "Technology, Employment, and the Oil-Countries Business Cycle," Working Papers 1405, BBVA Bank, Economic Research Department.
  • Handle: RePEc:bbv:wpaper:1405

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    References listed on IDEAS

    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
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    3. Jordi Gali Garreta & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations; How Well Does the RBC Model Fit Postwar U.S. Data?," IMF Working Papers 04/234, International Monetary Fund.
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    5. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters,in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106 National Bureau of Economic Research, Inc.
    6. Fabio Canova & David Lopez-Salido & Claudio Michelacci, 2010. "The effects of technology shocks on hours and output: a robustness analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 755-773.
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    12. Cushman, David O. & Zha, Tao, 1997. "Identifying monetary policy in a small open economy under flexible exchange rates," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 433-448, August.
    13. Kim, Sangho & Lim, Hyunjoon & Park, Donghyun, 2010. "Productivity and Employment in a Developing Country: Some Evidence from Korea," World Development, Elsevier, vol. 38(4), pages 514-522, April.
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    More about this item


    SVAR; identifying restrictions; small open economies; oil economies; dutch disease; resource curse;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)

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