IDEAS home Printed from https://ideas.repec.org/p/nlv/wpaper/0904.html
   My bibliography  Save this paper

Modeling the Volatility of Real GDP Growth: The Case of Japan Revisited

Author

Listed:
  • WenShwo Fang

    () (Department of Economics, Feng Chia University)

  • Stephen M. Miller

    () (Department of Economics, University of Nevada, Las Vegas)

Abstract

Previous studies (e.g., Hamori, 2000; Ho and Tsui, 2003; Fountas et al., 2004) find high volatility persistence of economic growth rates using generalized autoregressive conditional heteroskedasticity (GARCH) specifications. This paper reexamines the Japanese case, using the same approach and showing that this finding of high volatility persistence reflects the Great Moderation, which features a sharp decline in the variance as well as two falls in the mean of the growth rates identified by Bai and Perron’s (1998, 2003) multiple structural change test. Our empirical results provide new evidence. First, excess kurtosis drops substantially or disappears in the GARCH or exponential GARCH model that corrects for an additive outlier. Second, using the outlier-corrected data, the integrated GARCH effect or high volatility persistence remains in the specification once we introduce intercept-shift dummies into the mean equation. Third, the time-varying variance falls sharply, only when we incorporate the break in the variance equation. Fourth, the ARCH in mean model finds no effects of our more correct measure of output volatility on output growth or of output growth on its volatility.

Suggested Citation

  • WenShwo Fang & Stephen M. Miller, 2009. "Modeling the Volatility of Real GDP Growth: The Case of Japan Revisited," Working Papers 0904, University of Nevada, Las Vegas , Department of Economics.
  • Handle: RePEc:nlv:wpaper:0904
    as

    Download full text from publisher

    File URL: http://web.unlv.edu/projects/RePEc/pdf/0904.pdf
    File Function: First version, 2009
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jussi Tolvi, 2001. "Outliers in eleven Finnish macroeconomic time series," Finnish Economic Papers, Finnish Economic Association, vol. 14(1), pages 14-32, Spring.
    2. Marianne Sensier & Dick van Dijk, 2004. "Testing for Volatility Changes in U.S. Macroeconomic Time Series," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 833-839, August.
    3. Kramer, Walter & Azamo, Baudouin Tameze, 2007. "Structural change and estimated persistence in the GARCH(1,1)-model," Economics Letters, Elsevier, vol. 97(1), pages 17-23, October.
    4. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    5. Stephen G Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2005. "Assessing the Sources of Changes in the Volatility of Real Growth," RBA Annual Conference Volume,in: Christopher Kent & David Norman (ed.), The Changing Nature of the Business Cycle Reserve Bank of Australia.
    6. Ólan T. Henry & Nilss Olekalns, 2002. "The Effect of Recessions on the Relationship between Output Variability and Growth," Southern Economic Journal, Southern Economic Association, vol. 68(3), pages 683-692, January.
    7. Charles, Amelie & Darne, Olivier, 2006. "Large shocks and the September 11th terrorist attacks on international stock markets," Economic Modelling, Elsevier, vol. 23(4), pages 683-698, July.
    8. Verhoeven, Peter & McAleer, Michael, 2004. "Fat tails and asymmetry in financial volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 351-361.
    9. Hamori, Shigeyuki, 2000. "Volatility of real GDP: some evidence from the United States, the United Kingdom and Japan," Japan and the World Economy, Elsevier, vol. 12(2), pages 143-152, May.
    10. Speight, Alan E H, 1999. "UK Output Variability and Growth: Some Further Evidence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 46(2), pages 175-184, May.
    11. Bali, Rakesh & Guirguis, Hany, 2007. "Extreme observations and non-normality in ARCH and GARCH," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 332-346.
    12. Martin, Philippe & Ann Rogers, Carol, 2000. "Long-term growth and short-term economic instability," European Economic Review, Elsevier, vol. 44(2), pages 359-381, February.
    13. Tzavalis, Elias & Wickens, M. R., 1995. "The persistence in volatility of the US term premium 1970-1986," Economics Letters, Elsevier, vol. 49(4), pages 381-389, October.
    14. Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
    15. van Dijk, Dick & Franses, Philip Hans & Lucas, Andre, 1999. "Testing for ARCH in the Presence of Additive Outliers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 539-562, Sept.-Oct.
    16. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    17. Martin, Philippe & Rogers, Carol Ann, 1997. "Stabilization Policy, Learning-by-Doing, and Economic Growth," Oxford Economic Papers, Oxford University Press, vol. 49(2), pages 152-166, April.
    18. Stilianos Fountas & Menelaos Karanasos & Alfonso Mendoza, 2004. "Output Variability and Economic Growth: the Japanese Case," Bulletin of Economic Research, Wiley Blackwell, vol. 56(4), pages 353-363, October.
    19. Taylor, John B, 1979. "Estimation and Control of a Macroeconomic Model with Rational Expectations," Econometrica, Econometric Society, vol. 47(5), pages 1267-1286, September.
    20. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    21. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665 National Bureau of Economic Research, Inc.
    22. Kim, Chang-Jin & Nelson, Charles R. & Startz, Richard, 1998. "Testing for mean reversion in heteroskedastic data based on Gibbs-sampling-augmented randomization1," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 131-154, June.
    23. Balke, Nathan S & Fomby, Thomas B, 1994. "Large Shocks, Small Shocks, and Economic Fluctuations: Outliers in Macroeconomic Time Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(2), pages 181-200, April-Jun.
    24. Franses, Philip Hans & Ghijsels, Hendrik, 1999. "Additive outliers, GARCH and forecasting volatility," International Journal of Forecasting, Elsevier, vol. 15(1), pages 1-9, February.
    25. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-472, June.
    26. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, September.
    27. Herrera, Ana Maria & Pesavento, Elena, 2005. "The Decline in U.S. Output Volatility: Structural Changes and Inventory Investment," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 462-472, October.
    28. Bhar, Ramaprasad & Hamori, Shigeyuki, 2003. "Alternative characterization of the volatility in the growth rate of real GDP," Japan and the World Economy, Elsevier, vol. 15(2), pages 223-231, April.
    29. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    30. Ho, Kin-Yip & Tsui, Albert K. C., 2003. "Asymmetric volatility of real GDP: some evidence from Canada, Japan, the United Kingdom and the United States," Japan and the World Economy, Elsevier, vol. 15(4), pages 437-445, December.
    31. Joseph Macri & Dipendra Sinha, 2000. "Output variability and economic growth: The case of Australia," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 24(3), pages 275-282, September.
    32. Lastrapes, William D, 1989. "Exchange Rate Volatility and U.S. Monetary Policy: An ARCH Application," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(1), pages 66-77, February.
    33. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    34. Blackburn, Keith, 1999. "Can Stabilisation Policy Reduce Long-Run Growth?," Economic Journal, Royal Economic Society, vol. 109(452), pages 67-77, January.
    35. Shaghil Ahmed & Andrew Levin & Beth Anne Wilson, 2004. "Recent U.S. Macroeconomic Stability: Good Policies, Good Practices, or Good Luck?," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 824-832, August.
    36. Thomas Mikosch & Catalin Starica, 2004. "Non-stationarities in financial time series, the long range dependence and the IGARCH effects," Econometrics 0412005, EconWPA.
    37. David E. Rapach & Jack K. Strauss, 2008. "Structural breaks and GARCH models of exchange rate volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 65-90.
    38. Eggers, Andrew & Ioannides, Yannis M., 2006. "The role of output composition in the stabilization of US output growth," Journal of Macroeconomics, Elsevier, vol. 28(3), pages 585-595, September.
    39. Caporale, Tony & McKiernan, Barbara, 1996. "The Relationship between Output Variability and Growth: Evidence from Post War UK Data," Scottish Journal of Political Economy, Scottish Economic Society, vol. 43(2), pages 229-236, May.
    40. Wen-Shwo Fang & Stephen M. Miller, 2008. "The Great Moderation and The Relationship between Output Growth and Its Volatility," Southern Economic Journal, Southern Economic Association, vol. 74(3), pages 819-838, January.
    41. Diebold, Francis X & Senhadji, Abdelhak S, 1996. "The Uncertain Unit Root in Real GNP: Comment," American Economic Review, American Economic Association, vol. 86(5), pages 1291-1298, December.
    42. Hillebrand, Eric, 2005. "Neglecting parameter changes in GARCH models," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 121-138.
    43. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-234, April.
    44. Pagan, Adrian & Ullah, Aman, 1988. "The Econometric Analysis of Models with Risk Terms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(2), pages 87-105, April.
    45. Edmund S. Phelps, 1968. "Money-Wage Dynamics and Labor-Market Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 76, pages 678-678.
    46. Terence C. Mills & Ping Wang, 2003. "Have output growth rates stabilised? evidence from the g-7 economies," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(3), pages 232-246, August.
    47. Stilianos Fountas & Menelaos Karanasos & Jinki Kim, 2006. "Inflation Uncertainty, Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 319-343, June.
    48. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    49. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
    50. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    51. Ungar, Meyer & Zilberfarb, Ben-Zion, 1993. "Inflation and Its Unpredictability--Theory and Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(4), pages 709-720, November.
    52. Fountas, Stilianos & Karanasos, Menelaos, 2006. "The relationship between economic growth and real uncertainty in the G3," Economic Modelling, Elsevier, vol. 23(4), pages 638-647, July.
    53. Charles, Amelie & Darne, Olivier, 2005. "Outliers and GARCH models in financial data," Economics Letters, Elsevier, vol. 86(3), pages 347-352, March.
    54. Kevin B. Grier & Mark J. Perry, 2000. "The effects of real and nominal uncertainty on inflation and output growth: some garch-m evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 45-58.
    55. Peter M. Summers, 2005. "What caused the Great Moderation? : some cross-country evidence," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-32.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dejan Živkov & Jovan Njegić & Vera Mirović, 2016. "Dynamic Nexus between Exchange Rate and Stock Prices in the Major East European Economies," Prague Economic Papers, University of Economics, Prague, vol. 2016(6), pages 686-705.
    2. Steven Trypsteen, 2014. "Cross-Country Interactions, the Great Moderation and the Role of Output Volatility in Growth," Discussion Papers 2014/14, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    3. Paolo Guarda & Abdelaziz Rouabah, 2015. "Is the financial sector Luxembourg?s engine of growth?," BCL working papers 97, Central Bank of Luxembourg.
    4. Florence Barugahara, 2015. "The Impact of Political Instability on Inflation Volatility in Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(1), pages 56-73, March.
    5. repec:eee:riibaf:v:42:y:2017:i:c:p:61-74 is not listed on IDEAS
    6. Go Tamakoshi & Shigeyuki Hamori, 2014. "Greek sovereign bond index, volatility, and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 687-697, October.
    7. repec:spr:portec:v:16:y:2017:i:1:d:10.1007_s10258-017-0128-y is not listed on IDEAS
    8. Hiroshi Yamada & Lan Jin, 2013. "Japan’s output gap estimation and ℓ 1 trend filtering," Empirical Economics, Springer, vol. 45(1), pages 81-88, August.
    9. Dejan Živkov & Jovan Njegić & Vera Mirović, . "Dynamic Nexus between Exchange Rate and Stock Prices in the Major East European Economies," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-20.
    10. Dejan Živkov & Jovan Njegic & Marko Pecanac, 2014. "Bidirectional linkage between inflation and inflation uncertainty – the case of Eastern European countries," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 14(1-2), pages 124-139, December.
    11. Steven Trypsteen, 2014. "The Importance of a Time-Varying Variance and Cross-Country Interactions in Forecast Models," Discussion Papers 2014/15, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    12. Bruce Q. Budd, 2016. "Structural break tests and the Greek sovereign debt crisis: revisited," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(3), pages 607-622, July.
    13. Viorica CHIRILA, 2011. "The Modelling of the Volatility of Business cycles in Romania," EuroEconomica, Danubius University of Galati, issue 30, pages 138-147, November.
    14. Dejan Živkov & Jovan Njegić & Mirela Momčilović & Ivan Milenković, 2016. "Exchange Rate Volatility and Uncovered Interest Rate Parity in the European Emerging Economies," Prague Economic Papers, University of Economics, Prague, vol. 2016(3), pages 253-270.

    More about this item

    Keywords

    Japan; real GDP growth; the Great Moderation; outlier; structural changes; IGARCH effect;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • 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:nlv:wpaper:0904. 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: (Bill Robinson). General contact details of provider: http://edirc.repec.org/data/denlvus.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.