IDEAS home Printed from https://ideas.repec.org/p/mts/wpaper/200502.html
   My bibliography  Save this paper

Fiscal Spending Shocks and the Price of Investment: Evidence from a Panel of Countries

Author

Listed:
  • Stuart J. Fowler

Abstract

The effects of fiscal spending shocks are estimated by the introduction of a measure of fiscal policy into the neoclassical growth model via a parametric function that distorts the value of newly created capital. The model is estimated by Method of Simulated Moments (MSM) via conditional moments (IRFs) from a panel of countries. We find that fiscal spending distortions cannot be rejected as an important determinant for deviations in the relative price of investment for the OECD countries. An implication is that a one standard error shock to fiscal spending can increase GDP by as much as 1.12 percent over an eight year horizon. Alternatively, the price of investment seems not to be affected by fiscal policy shocks in less developed countries.

Suggested Citation

  • Stuart J. Fowler, 2005. "Fiscal Spending Shocks and the Price of Investment: Evidence from a Panel of Countries," Working Papers 200502, Middle Tennessee State University, Department of Economics and Finance.
  • Handle: RePEc:mts:wpaper:200502
    as

    Download full text from publisher

    File URL: http://capone.mtsu.edu/berc/working/fiscalshock1.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Easterly, William, 1993. "How much do distortions affect growth?," Journal of Monetary Economics, Elsevier, vol. 32(2), pages 187-212, November.
    2. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
    3. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 106(2), pages 407-443.
    4. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    5. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    6. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-1057, September.
    7. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
    8. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    9. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    10. Cho, Jang-Ok & Cooley, Thomas F., 1994. "Employment and hours over the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 18(2), pages 411-432, March.
    11. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June.
    12. Amato, Jeffery D. & Laubach, Thomas, 2003. "Estimation and control of an optimization-based model with sticky prices and wages," Journal of Economic Dynamics and Control, Elsevier, vol. 27(7), pages 1181-1215, May.
    13. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    14. Lawrence J. Christiano & Jonas D. M. Fisher, 2003. "Stock Market and Investment Goods Prices: Implications for Macroeconomics," NBER Working Papers 10031, National Bureau of Economic Research, Inc.
    15. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    General Equilibrium Dynamics; Fiscal Spending Shocks; Method of Simulated Moments;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mts:wpaper:200502. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (E. Anthon Eff). General contact details of provider: http://edirc.repec.org/data/efmtsus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.