Abstract
This paper creates an asymmetric credibility indicator to measure the credibility of inflation-targeting central banks. The proposed indicator is computed for a sample of eight representative central banks using the inflation expectations survey data of professional forecasters and observed inflation data. The computed indicators are then used in the panel models to explore the credibility effect for central banks of emerging and advanced economies. The finding suggests that the presence of credibility makes significant changes in the constituents of inflation expectations. It makes the elements of backward-looking expectations insignificant and considerably increases the relative weight of the inflation target in the expectations formation. Further, the findings show that despite positive inflation shock in the global financial crisis, the inflation expectations were found well anchored. These findings have important policy implications for the conduct of monetary policy that credible inflation-targeting central banks can anchor forecasters’ inflation expectations in the crisis period such as COVID-19 crisis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Theoretically, this issue can be traced to a widely cited study of the time-consistency problem (Kydland & Prescott, 1977).
- 2.
- 3.
This model assumes that the media and professional inflation forecasts affect households’ inflation expectations.
- 4.
Another tool to reduce this disbelief can be using an effective central bank communication policy.
- 5.
The study tests this hypothesis for the GFC inflation shock to see whether expectations made during this crisis period in which agents experienced inflation significantly higher than their expected inflation.
- 6.
Note that in the developing countries, the target bound is usually defined in a very broader range than developed countries to have more policy rate room for output considerations.
- 7.
The selection of sample data is constrained by data availability; most IT central banks started conducting expectations surveys recently.
- 8.
Further, it should be noted that the success of inflation targeting depends on the degree of long-term expectations anchoring. The complete anchoring to the midpoint of the target thus suggests perfect credibility.
- 9.
Further, most emerging economies are still in the initial stage of achieving a low inflation regime. These economies have adopted the broader target bound in the conduct of monetary policy to accommodate temporary shocks.
- 10.
These tests assume the existence of different unit roots in different cross sections.
- 11.
Note that the fixed-effect model for a group of four emerging economies could not be estimated due to low data points for India (fourteen data points and for Indonesia (nineteen data point). However, we include all four sample emerging economies data in the full sample estimation.
References
Bernanke, B. (2007). Inflation expectations and inflation forecasting. Speech at the Monetary Economics workshop of the NBER summer institute, Cambridge, Massachusetts.
Blinder, A. S. (2000). Central-bank credibility: Why do we care? How do we build it? American Economic Review, 90(5), 1421–1431.
Bomfim, A. N., & Rudebusch, G. D. (2000). Opportunistic and deliberate disinflation under imperfect credibility. Journal of Money, Credit and Banking, 32, 707–721.
Bordo, M. D., & Siklos, P. L. (2017). Central bank credibility before and after the crisis. Open Economies Review, 28(1), 19–45.
Cukierman, A., & Meltzer, A. H. (1986). A theory of ambiguity, credibility, and inflation under discretion and asymmetric information. Econometrica, 54, 1099–1128.
Carroll, C. (2003). Macroeconomic expectations of households and professional forecasters. Quarterly Journal of Economics, 118(1), 269–298.
Cecchetti, S., & Krause, S., (2002). Central bank structure, policy efficiency, and macroeconomic performance: Exploring empirical relationships. Federal Reserve Bank of St. Louis Review, 47–60.
De Mendonça, H. F. (2007). Towards credibility from inflation targeting: The Brazilian experience. Applied Economics, 39(20), 2599–2615.
De Mendonça H. F., & De Guimarães e Souza G. J. (2009). Inflation targeting credibility and reputation: The consequences for the interest rate. Economic Modeling, 26(6):1228-1238.
De Mendonça, H.F (2018). Credibility and inflation expectations: What we can tell from seven emerging economies. Journal of Policy Modeling, 40(6), 1165–1181.
Evans, G., & Honkapohja, S. (2009). Learning and macroeconomics. Annual Review of Economics, 1, 421–449.
Ha, J., Kose, M. A., & Ohnsorge, F. (Eds.). (2019). Inflation in emerging and developing economies: Evolution, drivers, and policies. World Bank.
Kydland, F. E., & Prescott, E. C. (1977). Rules rather than Discretion: The Inconsistency of Optimal Plans. Journal of Political Economy, 85, 473–491.
Lyziak, T., Mackiewicz, J., & Stanisławska, E. (2007). Central bank transparency and credibility: The case of Poland, 1998–2004. European Journal of Political Economy, 23, 67–87.
Levieuge, G., Lucotte, Y., & Ringuedé, S. (2018). Central bank credibility and the expectations channel: Evidence based on a new credibility index. Review of World Economics, 154, 492–535.
Mackiewicz-Łyziak, J. (2016). Central bank credibility: Determinants and measurement. A cross-country study. Acta Oeconomica, 66(1), 125–151.
Mankiw, N. G., & Reis, R. (2002). Sticky information vs. sticky prices: A proposal to replace the new Keynesian Phillips curve. Quarterly Journal of Economics, 117(4), 1295–1328.
Mankiw, N. G., & Reis, R. (2018). Friedman’s presidential address in the evolution of macroeconomic thought. Journal of Economic Perspectives, 32(1), 81–96.
Maćkowiak, B., & Wiederholt, M. (2009). Optimal sticky prices under rational inattention. American Economic Review, 99(3), 769–803.
Mehrotra, A. N., & Yetman, J., (2014). Decaying expectations: What inflation forecasts tell us about the anchoring of inflation expectations. BIS Working Paper.
Miccoli, M., & Neri, S. (2019). Inflation surprises and inflation expectations in the Euro area. Applied Economics, 51(6), 651–662.
Muth, J. F. (1961). Rational Expectations and the Theory of Price Movements. Econometrica, 315–335.
Sims, C. A. (2003). Implications of rational inattention. Journal of Monetary Economics, 50, 665–690.
Sharma, N. K., & Bicchal, M. (2018). The properties of inflation expectations: Evidence for India. Economia, 19(1), 74–89.
Strohsal, T., Melnick, R., & Nautz, D. (2016). The time-varying degree of inflation expectations anchoring. Journal of Macroeconomics, 48, 62–71.
Svensson, L. E. (2000). How should monetary policy be conducted in an era of price stability? NBER Working Paper 7516, National Bureau of Economic Research.
Woodford, M. (2002). Inflation stabilization and welfare. Contributions to Macroeconomics, 2(1), Article 1.
Acknowledgements
This work was supported by the Indian Council of Social Science Research (ICSSR) IMPRESS scheme (File no: IMPRESS/P3357/24/2018-19/ICSSR). The author thanks the anonymous referee for the valuable comments and suggestions.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Bicchal, M. (2022). Assessing the Credibility of Inflation-Targeting Central Banks. In: Yoshino, N., Paramanik, R.N., Kumar, A.S. (eds) Studies in International Economics and Finance. India Studies in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-16-7062-6_5
Download citation
DOI: https://doi.org/10.1007/978-981-16-7062-6_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7061-9
Online ISBN: 978-981-16-7062-6
eBook Packages: Economics and FinanceEconomics and Finance (R0)