IDEAS home Printed from https://ideas.repec.org/a/eaa/aeinde/v3y2003i3_7.html
   My bibliography  Save this article

Modeling The Philips Curve: A Time-Varying Volatility Approach

Author

Listed:
  • Ewing, Bradley T.
  • Seyfried, William L

Abstract

This paper examines the Phillips curve relationship when the second moment of inflation is nonlinear. Specifically, we estimate GARCH models that provide evidence consistent with Keynesian-type models that imply output "overshooting" and inflation fluctuations following aggregate demand shocks. Additionally, the evidence suggests that an increase in the conditional variability of inflation leads to higher levels of inflation.

Suggested Citation

  • Ewing, Bradley T. & Seyfried, William L, 2003. "Modeling The Philips Curve: A Time-Varying Volatility Approach," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 3(2).
    • Handle: RePEc:eaa:aeinde:v:3:y:2003:i:3_7
    as

    Download full text from publisher

    File URL: http://www.usc.es/economet/reviews/aeid321.pdf
    Download Restriction: No
    ---><---

    References listed on IDEAS

    as
    1. Tim Bollerslev & Jeffrey M. Wooldridge, 1988. "Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances," Working papers 505, Massachusetts Institute of Technology (MIT), Department of Economics.
    2. Robert G. King & Mark W. Watson, 1997. "Testing long-run neutrality," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 69-101.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Cukierman, Alex & Meltzer, Allan H, 1986. "A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information," Econometrica, Econometric Society, vol. 54(5), pages 1099-1128, September.
    5. Patricia Reagan & Rene M. Stulz, 1993. "Contracting costs, inflation, and relative price variability," Proceedings, Federal Reserve Bank of Cleveland, pages 585-611.
    6. Michael T. Owyang, 2001. "Persistence, excess volatility, and volatility clusters in inflation," Review, Federal Reserve Bank of St. Louis, vol. 83(Nov.), pages 41-52.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Nobay, A. R. & Peel, D. A., 2000. "Optimal monetary policy with a nonlinear Phillips curve," Economics Letters, Elsevier, vol. 67(2), pages 159-164, May.
    9. 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.
    10. Gordon de Brouwer, 1998. "Estimating Output Gaps," RBA Research Discussion Papers rdp9809, Reserve Bank of Australia.
    11. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Biru Paksha Paul, 2013. "Inflation--growth nexus: some bivariate EGARCH evidence for Bangladesh," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 66-76, March.
    2. Nora Abu Asab & Juan Carlos Cuestas & Alberto Montagnoli, 2018. "Inflation targeting or exchange rate targeting: Which framework supports the goal of price stability in emerging market economies?," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-21, August.
    3. Wu, Ji & Yao, Yao & Chen, Minghua & Jeon, Bang Nam, 2020. "Economic uncertainty and bank risk: Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    4. Remes, Piia, 2013. "Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts," Research Reports 62, VATT Institute for Economic Research.
    5. Hayo, Bernd & Kutan, Ali M., 2002. "The impact of news, oil prices, and international spillovers on Russian financial markets," ZEI Working Papers B 20-2002, University of Bonn, ZEI - Center for European Integration Studies.
    6. Levent KORAP, 2009. "On the links between inflation, output growth and uncertainty: System-GARCH evidence from the Turkish economy," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 24(285), pages 89-110.
    7. Haigh, Michael S. & Bryant, Henry L., 2000. "Price And Price Risk Dynamics In Barge And Ocean Freight Markets And The Effects On Commodity Trading," 2000 Conference, April 17-18 2000, Chicago, Illinois 18934, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    8. Schindler, Felix, 2009. "Volatilitätseffekte am US-amerikanischen Häusermarkt," ZEW Discussion Papers 09-048, ZEW - Leibniz Centre for European Economic Research.
    9. Bernd Hayo & Ali M. Kutan, 2005. "The impact of news, oil prices, and global market developments on Russian financial markets," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 373-393, April.
    10. Johannes W. Fedderke, 2021. "The South African–United States sovereign bond spread and its association with macroeconomic fundamentals," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 499-525, December.
    11. Elaheh Asadi Mehmandosti & Fatemeh Bazazan & Mir Hossein Mousavi, 2016. "Uncertainty of Oil Proved Reserves and Economic Growth in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 374-380.
    12. Robert F. Engle & Joshua Rosenberg, 1966. "Testing the Volatility Term Structure Using Option Hedging Criteria," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-24, New York University, Leonard N. Stern School of Business-.
    13. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    14. Committee, Nobel Prize, 2003. "Time-series Econometrics: Cointegration and Autoregressive Conditional Heteroskedasticity," Nobel Prize in Economics documents 2003-1, Nobel Prize Committee.
    15. Tim Bollerslev & Eric Ghysels, 1994. "On Periodic Autogressive Conditional Heteroskedasticity," CIRANO Working Papers 94s-03, CIRANO.
    16. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911.
    17. Olan Henry, 1999. "The volatility of US term structure term premia 1952 - 1991," Applied Financial Economics, Taylor & Francis Journals, vol. 9(3), pages 263-271.
    18. Barnett, William A. & Serletis, Apostolos & Serletis, Demitre, 2015. "Nonlinear And Complex Dynamics In Economics," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1749-1779, December.
    19. Kim, Dongcheol & Kon, Stanley J., 1999. "Structural change and time dependence in models of stock returns," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 283-308, September.
    20. repec:fgv:epgrbe:v:66:n:3:a:3 is not listed on IDEAS
    21. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, January.

    More about this item

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

    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:eaa:aeinde:v:3:y:2003:i:3_7. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: M. Carmen Guisan (email available below). General contact details of provider: http://www.usc.es/economet/eaa.htm .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.