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A sticky information Phillips curve for South Africa

  • Monique Reid


    (Department of Economics, University of Stellenbosch)

  • Gideon du Rand


    (Department of Economics, University of Stellenbosch)

Mankiw and Reis (2002) propose the Sticky Information Phillips Curve as an alternative to the standard New Keynesian Phillips Curve, to address empirical shortcomings in the latter. In this paper, a Sticky Information Phillips curve for South Africa is estimated, which requires data on expectations of current period variables conditional on sequences of earlier period information sets. In the literature the choice of proxies for the inflation expectations and output gap measures are usually not well motivated. In this paper, we test the sensitivity of model fit and parameter estimates to a variety of proxies. We find that parameter estimates for output gap proxies based either on a simple Hodrik-Prescott filter application or on a Kalman filter estimation of an aggregate production function are significant and reasonable, whereas methods employing direct calculation of marginal costs do not yield acceptable results. Estimates of information updating probability range between 0.69 and 0.81. This is somewhat higher than suggested by alternative methods using micro-evidence (0.65 – 0.70 (Reid, 2012)). Lastly, we find that neither parameter estimates nor model diagnostics are sensitive to the choice of expectation proxy, whether it be constructed from surveyed expectations or the ad hoc VAR based forecasting methods.

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Paper provided by Stellenbosch University, Department of Economics in its series Working Papers with number 22/2013.

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Date of creation: 2013
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Handle: RePEc:sza:wpaper:wpapers198
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  1. Reid, Monique, 2015. "Inflation expectations of the inattentive general public," Economic Modelling, Elsevier, vol. 46(C), pages 157-166.
  2. Olivier Coibion, 2007. "Testing the Sticky Information Phillips Curve," Working Papers 61, Department of Economics, College of William and Mary.
  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, Oxford University Press, vol. 117(4), pages 1295-1328.
  4. D Hodge, 2002. "Inflation "Versus" Unemployment in South Africa: Is There a Trade-Off?," South African Journal of Economics, Economic Society of South Africa, vol. 70(3), pages 193-204, 03.
  5. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March.
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  8. 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.
  9. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-72, June.
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  11. David F. Hendry & Bent Nielsen, 2007. "Preface to Econometric Modeling: A Likelihood Approach," Introductory Chapters, in: Econometric Modeling: A Likelihood Approach Princeton University Press.
  12. Ball, Laurence, 1994. "Credible Disinflation with Staggered Price-Setting," American Economic Review, American Economic Association, vol. 84(1), pages 282-89, March.
  13. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
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  16. J.W. Fedderke & E. Schaling, 2005. "Modelling Inflation In South Africa: A Multivariate Cointegration Analysis," South African Journal of Economics, Economic Society of South Africa, vol. 73(1), pages 79-92, 03.
  17. Christopher D Carroll, 2002. "Macroeconomic Expectations of Households and Professional Forecasters," Economics Working Paper Archive 477, The Johns Hopkins University,Department of Economics.
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