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Econometric Issues in Estimating User Cost Elasticity

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  • Schaller, Huntley

    (Department of Economics, Carleton University, Ottawa, Canada)

Abstract

The user cost elasticity is a parameter of considerable importance in economics, with implications for the effects of budget deficits, tax-based savings incentives, monetary policy, corporate taxes, and tariffs and quotas on capital goods. This paper analyzes the econometric issues that account for differences in the estimated elasticity between the two existing papers that estimate the long-run elasticity on aggregate data. The preferred estimate that results from this analysis is substantially higher than most previous estimates. The empirical evidence suggests that, when adjustment frictions are important, long-run estimates of key parameters are less biased – and the details of the econometrics matter. In particular, DOLS estimates appear less biased than the alternatives considered here. The econometric issues that are analyzed in this paper have wide-ranging implications for research areas where adjustment frictions are important, including nominal price stickiness, habit formation, and sticky information models, among others.

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File URL: http://www.ihs.ac.at/publications/eco/es-194.pdf
File Function: First version, 2006
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Bibliographic Info

Paper provided by Institute for Advanced Studies in its series Economics Series with number 194.

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Length: 24 pages
Date of creation: Sep 2006
Date of revision:
Handle: RePEc:ihs:ihsesp:194

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Related research

Keywords: User cost elasticity; Capital stock; Investment; Adjustment frictions; Cointegration and long-run econometrics;

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References

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  1. Ricardo J. Caballero, 1997. "Aggregate Investment," NBER Working Papers 6264, National Bureau of Economic Research, Inc.
  2. Robert S. Chirinko & Steven M. Fazzari & Andrew P. Meyer, 2002. "That Elusive Elasticity: A Long-Panel Approach To Estimating The Price Sensitivity Of Business Capital," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B3-1, International Conferences on Panel Data.
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  7. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-56, September.
  8. Schaller, Huntley, 2006. "Estimating the long-run user cost elasticity," Journal of Monetary Economics, Elsevier, vol. 53(4), pages 725-736, May.
  9. Hassett, Kevin A. & Hubbard, R. Glenn, 2002. "Tax policy and business investment," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 3, chapter 20, pages 1293-1343 Elsevier.
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  14. Ricardo J. Caballero & Eduardo M. R. A. Engel & John C. Haltiwanger, 1995. "Plant-Level Adjustment and Aggregate Investment Dynamics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(2), pages 1-54.
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  18. Caballero, Ricardo J, 1994. "Small Sample Bias and Adjustment Costs," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 52-58, February.
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Cited by:
  1. Tuomas A. Peltonen & Ricardo M. Sousa & Isabel S. Vansteenkiste, 2011. "Fundamentals, Financial Factors, and the Dynamics of Investment in Emerging Markets," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 47(0), pages 88-105, May.
  2. Marianna Endrész, 2011. "Business fixed investment and credit market frictions. A VECM approach for Hungary," MNB Working Papers 2011/1, Magyar Nemzeti Bank (the central bank of Hungary).
  3. Tuomas A. Peltonen & Ricardo M. Sousa & Isabel S. Vansteenkiste, 2009. "Asset prices, Credit and Investment in Emerging Markets," NIPE Working Papers 18/2009, NIPE - Universidade do Minho.

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