Sector-Level Disaggregate Stochastic Trends in Mexico’s Real Output
AbstractOur aim is to examine whether sectorial production shocks have predominated in Mexico’s long annual real output, and whether shocks from different sectors are correlated. We study the long-run movement and comovements of 6 production sectors, using long, low frequency data for the Mexican economy from 1921 to 1993 and Johansen’s (1991, 1995) method to test for cointegration, that is, the possibility of common stochastic shocks driving growth among sectors. Under cointegration, the idiosyncratic sectorial shocks cancel out and vanish, giving rise to a (possibly multiple) stochastic growth component common to all (some) sectors. We show that the sources of permanent innovations in Mexico’s real output are more likely to come from sector-group-specific sources rather than from either independent sector-specific technological shocks, or common aggregate permanent innovations.
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Bibliographic InfoArticle provided by in its journal Economia Mexicana NUEVA EPOCA.
Volume (Year): XIII (2004)
Issue (Month): 1 (January-June)
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- Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
- Cheng Hsiao, 1997. "Cointegration and Dynamic Simultaneous Equations Model," Econometrica, Econometric Society, vol. 65(3), pages 647-670, May.
- Peter C.B. Phillips & Zhijie Xiao, 1998.
"A Primer on Unit Root Testing,"
Cowles Foundation Discussion Papers
1189, Cowles Foundation for Research in Economics, Yale University.
- Pantula, Sastry G., 1989. "Testing for Unit Roots in Time Series Data," Econometric Theory, Cambridge University Press, vol. 5(02), pages 256-271, August.
- Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, June.
- Noriega, Antonio E. & de Alba, Enrique, 2001. "Stationarity and structural breaks -- evidence from classical and Bayesian approaches," Economic Modelling, Elsevier, vol. 18(4), pages 503-524, December.
- Richard Startz, 1998.
"Growth States and Shocks,"
0064, University of Washington, Department of Economics.
- Richard Startz, 1998. "Growth States and Shocks," Discussion Papers in Economics at the University of Washington 0064, Department of Economics at the University of Washington.
- Norrbin, S. C., 1995. "Disaggregate stochastic trends in industrial production," Economics Letters, Elsevier, vol. 47(3-4), pages 327-333, March.
- Søren Johansen & Katarina Juselius, 1992.
"Identification of the Long-Run and the Short-Run Structure: An Application to the ISLM Model,"
92-04, University of Copenhagen. Department of Economics.
- Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
- Steven N. Durlauf, 1989. "Output Persistence, Economic Structure, and the Choice of Stabilization Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(2), pages 69-136.
- Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
- Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
- Perron, Pierre, 1989.
"The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis,"
Econometric Society, vol. 57(6), pages 1361-1401, November.
- Perron, P, 1988. "The Great Crash, The Oil Price Shock And The Unit Root Hypothesis," Papers 338, Princeton, Department of Economics - Econometric Research Program.
- Dickey, David A & Pantula, Sastry G, 1987. "Determining the Ordering of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 455-61, October.
- DeJong, David N. & Nankervis, John C. & Savin, N. E. & Whiteman, Charles H., 1992. "The power problems of unit root test in time series with autoregressive errors," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 323-343.
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