An Alternative Perspective on Tobin's Q and Aggregate Investment Expenditure
This study provides new evidence on the relationship between Tobin's Q and private investment. Using a testing procedure advocated by Bierens applied to US data, both series are found to be stationary around a nonlinear deterministic trend and are co-trended insofar as they share a common nonlinear deterministic trend.
Volume (Year): 9 (2010)
Issue (Month): 1 (April)
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- Bierens, Herman J., 1997.
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- Perron, Pierre, 1997.
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- Perron, P., 1994. "Further Evidence on Breaking Trend Functions in Macroeconomic Variables," Cahiers de recherche 9421, Universite de Montreal, Departement de sciences economiques.
- Perron, P., 1990. "Further Evidence On Breaking Trend Functions In Macroeconomics Variables," Papers 350, Princeton, Department of Economics - Econometric Research Program.
- Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996.
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- Tom Doan, . "ERSTEST: RATS procedure to perform Elliott-Rothenberg-Stock unit root tests," Statistical Software Components RTS00066, Boston College Department of Economics.
- Tom Doan, . "GLSDETREND: RATS procedure to perform local to unity GLS detrending," Statistical Software Components RTS00077, Boston College Department of Economics.
- Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
- Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
- Simon Price & Christoph Schleicher, 2005. "Returns To Equity, Investment And Q: Evidence From The Uk," Manchester School, University of Manchester, vol. 73(s1), pages 32-57, 09.
- Mark E. Wohar & David E. Rapach, 2007. "Forecasting the recent behavior of US business fixed investment spending: an analysis of competing models This is a significantly revised version of our previous paper, 'Forecasting US Business Fixed ," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(1), pages 33-51.
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