IDEAS home Printed from https://ideas.repec.org/p/fip/fedkrw/98-04.html
   My bibliography  Save this paper

The sources of fluctuations within and across countries

Author

Listed:
  • Todd E. Clark
  • Kwanho Shin

Abstract

This paper reviews the evidence on the sources of business cycles within and across countries and the implications for the importance of borders in business cycles. A simple econometric model is presented and applied to within-U.S. and cross-country data in order to provide a framework for interpreting the literature. Using these estimates as a benchmark, data issues, alternative models, and still other approaches to quantifying sources of comovement are surveyed. Overall, the evidence suggests three general conclusions. First, common shocks are less important in international fluctuations than in within-country fluctuations. Second, region-specific shocks account for a larger share of variation in international data than in within-country data. Finally, industry-specific shocks, measured accurately, are a smaller source of variation internationally than within countries. The paper then argues that lowering economic borders among nations through pacts like EMU should make the sources of international fluctuations look somewhat more like the sources of within-country fluctuations, although the effects are uncertain.

Suggested Citation

  • Todd E. Clark & Kwanho Shin, 1998. "The sources of fluctuations within and across countries," Research Working Paper 98-04, Federal Reserve Bank of Kansas City.
  • Handle: RePEc:fip:fedkrw:98-04
    as

    Download full text from publisher

    File URL: http://www.kansascityfed.org/publicat/reswkpap/PDF/rwp98-04.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Blanchard, Olivier J, 1983. "The Production and Inventory Behavior of the American Automobile Industry," Journal of Political Economy, University of Chicago Press, vol. 91(3), pages 365-400, June.
    2. Neil R. Ericsson & John S. Irons, 1995. "The Lucas critique in practice: theory without measurement," International Finance Discussion Papers 506, Board of Governors of the Federal Reserve System (U.S.).
    3. Sargent, Thomas J, 1981. "Interpreting Economic Time Series," Journal of Political Economy, University of Chicago Press, vol. 89(2), pages 213-248, April.
    4. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    5. Coletti, D. & Hunt, B. & Rose, D. & Tetlow, R., 1996. "The Bank of Canada's New Quarterly Projection Model. Part 3 , the Dynamic Model : QPM," Technical Reports 75, Bank of Canada.
    6. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, Oxford University Press, vol. 113(3), pages 869-902.
    7. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    8. Toru Konishi & Valerie A. Ramey & Clive W.J. Granger, 1993. "Stochastic Trends and Short-Run Relationships Between Financial Variables and Real Activity," NBER Working Papers 4275, National Bureau of Economic Research, Inc.
    9. Stephen Poloz & David Rose & Robert Tetlow, 1994. "The Bank of Canada's new Quarterly Projection Model (QPM): An introduction," Bank of Canada Review, Bank of Canada, vol. 1994(Autumn), pages 23-38.
    10. Anderson, Evan W. & McGrattan, Ellen R. & Hansen, Lars Peter & Sargent, Thomas J., 1996. "Mechanics of forming and estimating dynamic linear economies," Handbook of Computational Economics,in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 4, pages 171-252 Elsevier.
    11. Finn E. Kydland & Edward C. Prescott, 1996. "The Computational Experiment: An Econometric Tool," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 69-85, Winter.
    12. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    13. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    14. Kozicki, Sharon, 1999. "Multivariate detrending under common trend restrictions: Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 23(7), pages 997-1028, June.
    15. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
    16. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    17. Flint Brayton & Peter A. Tinsley, 1996. "A guide to FRB/US: a macroeconomic model of the United States," Finance and Economics Discussion Series 96-42, Board of Governors of the Federal Reserve System (U.S.).
    18. Callen, T S & Hall, S G & Henry, S G B, 1990. "Manufacturing Stocks: Expectations, Risk and Co-integration," Economic Journal, Royal Economic Society, vol. 100(402), pages 756-772, September.
    19. Sargent, Thomas J, 1978. "Estimation of Dynamic Labor Demand Schedules under Rational Expectations," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1009-1044, December.
    20. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    21. Peter A. Tinsley, 1993. "Fitting both data and theories: polynomial adjustment costs and error- correction decision rules," Finance and Economics Discussion Series 93-21, Board of Governors of the Federal Reserve System (U.S.).
    22. Sharon Kozicki & Peter A. Tinsley, "undated". "Rational Vector Error Correction Models," Computing in Economics and Finance 1997 1, Society for Computational Economics.
    23. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    24. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    25. Anderson, Gary & Moore, George, 1985. "A linear algebraic procedure for solving linear perfect foresight models," Economics Letters, Elsevier, vol. 17(3), pages 247-252.
    26. Tinsley, P A, 1971. "A Variable Adjustment Model of Labor Demand," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(3), pages 482-510, October.
    27. Andrew T. Levin & John H. Rogers & Ralph W. Tryon, 1997. "Evaluating international economic policy with the Federal Reserve's global model," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Oct, pages 797-817.
    28. Cuthbertson, Keith & Gasparro, David, 1993. "The Determinants of Manufacturing Inventories in the UK," Economic Journal, Royal Economic Society, vol. 103(421), pages 1479-1492, November.
    29. Rotemberg, Julio J., 1996. "Prices, output, and hours: An empirical analysis based on a sticky price model," Journal of Monetary Economics, Elsevier, vol. 37(3), pages 505-533, June.
    30. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
    31. Schaller, Huntley, 1990. "A Re-examination of the Q Theory of Investment Using U.S. Firm Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(4), pages 309-325, Oct.-Dec..
    32. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Business cycles;

    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:fip:fedkrw:98-04. 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: (Lu Dayrit). General contact details of provider: http://edirc.repec.org/data/frbkcus.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.

    We have no references for this item. You can help adding them by using 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.