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Does Black’s Hypothesis for Output Variability Hold for Mexico?

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Author Info
Macri, Joseph
Sinha, Dipendra

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Abstract

Using two data series, namely GDP and the index of industrial production, we study the relationship between output variability and the growth rate of output. Ng-Perron unit root test shows that the growth rate of GDP is non-stationary but the growth rate of industrial output is stationary. Thus, we use the ARCH-M model for the monthly data of industrial output. A number of specifications (with and without a dummy variable) are used. In all cases, the results show that output variability has a negative but insignificant effect on the growth rate of output.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 4021.

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Date of creation: Jul 2007
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Handle: RePEc:pra:mprapa:4021

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Related research
Keywords: economic growth; volatility; variability; business cycle fluctuations; GARCH models;

Find related papers by JEL classification:
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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  3. Stilianos Fountas & Menelaos Karanasos & Alfonso Mendoza, 2004. "Output Variability and Economic Growth: the Japanese Case," Bulletin of Economic Research, Blackwell Publishing, vol. 56(4), pages 353-363, October. [Downloadable!] (restricted)
  4. Joseph Dejuan & Simon Gurr, 2004. "On the link between volatility and growth: evidence from Canadian Provinces," Applied Economics Letters, Taylor and Francis Journals, vol. 11(5), pages 279-282, April. [Downloadable!] (restricted)
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  6. Martin, Philippe & Ann Rogers, Carol, 2000. "Long-term growth and short-term economic instability," European Economic Review, Elsevier, vol. 44(2), pages 359-381, February. [Downloadable!] (restricted)
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  7. Matthew Rafferty, 2005. "The Effects of Expected and Unexpected Volatility on Long-Run Growth: Evidence from 18 Developed Economies," Southern Economic Journal, Southern Economic Association, vol. 71(3), pages 582-591, January.
  8. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July. [Downloadable!] (restricted)
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  9. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November. [Downloadable!] (restricted)
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  10. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March. [Downloadable!] (restricted)
  11. Pindyck, Robert S., 1990. "Irreversibility, uncertainty, and investment," Working papers 3137-90., Massachusetts Institute of Technology (MIT), Sloan School of Management. [Downloadable!]
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  12. Ramey, Garey & Ramey, Valerie A, 1995. "Cross-Country Evidence on the Link between Volatility and Growth," American Economic Review, American Economic Association, vol. 85(5), pages 1138-51, December. [Downloadable!] (restricted)
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