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The Sticky Information Phillips Curve: Evidence for Australia

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  • Christian Gillitzer

    (Reserve Bank of Australia)

Abstract

The Sticky Information Phillips Curve (SIPC) provides a theoretically appealing alternative to the sticky-price New-Keynesian Phillips curve (NKPC). This paper assesses the empirical performance of the SIPC for Australia. There is only weak evidence in favour of the SIPC over the low-inflation period. Parameter estimates are sensitive to inflation measures and sample periods, and are theoretically inconsistent for several specifications. The apparent poor performance of the SIPC in part reflects the fact that inflation has become difficult to model since the introduction of inflation targeting. Over sample periods including the early 1990s disinflation, the SIPC appears to fit the data better.

Suggested Citation

  • Christian Gillitzer, 2015. "The Sticky Information Phillips Curve: Evidence for Australia," RBA Research Discussion Papers rdp2015-04, Reserve Bank of Australia.
    • Handle: RePEc:rba:rbardp:rdp2015-04
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    References listed on IDEAS

    as
    1. Korenok, Oleg, 2008. "Empirical comparison of sticky price and sticky information models," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 906-927, September.
    2. Michael T. Kiley, 2007. "A Quantitative Comparison of Sticky-Price and Sticky-Information Models of Price Setting," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 101-125, February.
    3. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    4. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    5. Khan, Hashmat & Zhu, Zhenhua, 2006. "Estimates of the Sticky-Information Phillips Curve for the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 195-207, February.
    6. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    7. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    8. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    9. J÷Rg D÷Pke & Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2008. "Sticky Information Phillips Curves: European Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1513-1520, October.
    10. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    11. Davidson, Russell & MacKinnon, James G., 2002. "Bootstrap J tests of nonnested linear regression models," Journal of Econometrics, Elsevier, vol. 109(1), pages 167-193, July.
    12. Peter Tulip & Stephanie Wallace, 2012. "Estimates of Uncertainty around the RBA's Forecasts," RBA Research Discussion Papers rdp2012-07, Reserve Bank of Australia.
    13. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
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    Cited by:

    1. Benjamin Beckers & Anthony Brassil, 2022. "Inflation Expectations in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(1), pages 125-135, March.
    2. Hematy , Maryam & Pedram , Mehdi, 2015. "Threshold Effects in Sticky Information Philips Curve: Evidence from Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(1), pages 1-23, January.

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    More about this item

    Keywords

    sticky information; Phillips curve; inflation; Australia;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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