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The New Keynesian Phillips Curve in an Emerging Market Economy: The Case of Chile

  • Luis F. Céspedes
  • Marcelo Ochoa
  • Claudio Soto

This paper presents GMM empirical estimations of the New Keynesian Phillips curve (NKPC) for Chile. Our results tend to support the hybrid version of the NKPC, with an estimated backward-looking coefficient of about 0.4. The estimated Calvo coefficient, that captures the degree of price rigidity, assuming firm specific capital is about 0.65. This implies that prices are optimally adjusted on average every 3 quarters, approximately. Our results also indicate the existence of a structural break in the NKPC, which occurred when the inflation target converged to its long-run level (around 2000). We find evidence that the frequency of optimal price adjustment and the degree of indexation to past inflation have decreased over time.

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Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 355.

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Date of creation: Dec 2005
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Handle: RePEc:chb:bcchwp:355
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  1. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
  2. Sbordone, A.M., 1998. "Prices and Unit Labor Costs: a New Test of Price Stickiness," Papers 653, Stockholm - International Economic Studies.
  3. Michael B. Devereux & James Yetman, 2001. "Predetermined Prices and the Persistent Effects of Money on Output," Working Papers 01-13, Bank of Canada.
  4. Sowell, Fallaw, 1996. "Optimal Tests for Parameter Instability in the Generalized Method of Moments Framework," Econometrica, Econometric Society, vol. 64(5), pages 1085-1107, September.
  5. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
  6. Jordi Galí & Mark Gertler, 1998. "Inflation dynamics: A structural econometric analysis," Economics Working Papers 341, Department of Economics and Business, Universitat Pompeu Fabra.
  7. Jeff Fuhrer & George Moore, 1993. "Inflation persistence," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
  8. Christopher J. Erceg and Andrew T. Levin, 2001. "Imperfect Credibility and Inflation Persistence," Computing in Economics and Finance 2001 19, Society for Computational Economics.
  9. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
  10. Luis F. Céspedes & Claudio Soto, 2005. "Credibility and Inflation Targeting in an Emerging Market: Lessons from the Chilean Experience," International Finance, Wiley Blackwell, vol. 8(3), pages 545-575, December.
  11. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  12. McAdam, Peter & Willman, Alpo, 2003. "New Keynesian Phillips Curves: a reassessment using euro-area data," Working Paper Series 0265, European Central Bank.
  13. Donald W.K. Andrews, 1990. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Cowles Foundation Discussion Papers 943, Cowles Foundation for Research in Economics, Yale University.
  14. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  15. Gagnon, Edith & Khan, Hashmat, 2005. "New Phillips curve under alternative production technologies for Canada, the United States, and the Euro area," European Economic Review, Elsevier, vol. 49(6), pages 1571-1602, August.
  16. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
  17. Caner, Mehmet & Hansen, Bruce E., 2004. "Instrumental Variable Estimation Of A Threshold Model," Econometric Theory, Cambridge University Press, vol. 20(05), pages 813-843, October.
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