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The Bureau for Economic Research's inflation expectations surveys: Know your data

Author

Listed:
  • Monique Reid

    (Department of Economics, Stellenbosch University, South Africa)

  • Pierre Siklos

    (Wilfrid Laurier University, Balsillie School of International Affairs, Waterloo, Canada, and Research Fellow, University of Stellenbosch, South Africa)

Abstract

Inflation expectations are today keenly monitored by both the private sector and policy makers. Expectations matter, but whose expectations matter and how should this unobservable be measured? Answering these questions involves a number of choices that should be transparent and explicit. In this research note, we focus on these choices with respect to the South African inflation expectations data collected by the Bureau for Economic Research. Being willing to detail the strengths and weaknesses of a particular approach is valuable as it will enable us to choose the appropriate proxy for each application and to interpret the results with insight.

Suggested Citation

  • Monique Reid & Pierre Siklos, 2021. "The Bureau for Economic Research's inflation expectations surveys: Know your data," Working Papers 10/2021, Stellenbosch University, Department of Economics.
    • Handle: RePEc:sza:wpaper:wpapers370
    as

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    File URL: https://www.ekon.sun.ac.za/wpapers/2021/wp102021/wp102021.pdf
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    References listed on IDEAS

    as
    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    2. Monique Reid & Hanjo Odendaal & Stan Du Plessis & Pierre Siklos, 2020. "A note on the impact of the inclusion of an anchor number in the inflation expectations survey question," CAMA Working Papers 2020-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Reid, Monique & Siklos, Pierre & Plessis, Stan Du, 2021. "What drives household inflation expectations in South Africa? Demographics and anchoring under inflation targeting," Economic Systems, Elsevier, vol. 45(3).
    4. Michael Woodford, 2005. "Central bank communication and policy effectiveness," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, issue Aug, pages 399-474.
    5. Soderlind, Paul & Svensson, Lars, 1997. "New techniques to extract market expectations from financial instruments," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 383-429, October.
    6. Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2018. "The Formation of Expectations, Inflation, and the Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1447-1491, December.
    7. Svensson, Lars E O, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992-4," CEPR Discussion Papers 1051, C.E.P.R. Discussion Papers.
    8. Svensson, L.E.O., 1994. "Estimating and Interpreting Foreward Interest Rates: Sweden 1992-1994," Papers 579, Stockholm - International Economic Studies.
    9. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    10. Wändi Bruine de Bruin & Simon M. Potter & Robert W. Rich & Giorgio Topa & Wilbert Van der Klaauw, 2010. "Improving survey measures of household inflation expectations," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 16(Aug/Sep).
    11. Coibion, Olivier & Gorodnichenko, Yuriy & Kumar, Saten & Pedemonte, Mathieu, 2020. "Inflation expectations as a policy tool?," Journal of International Economics, Elsevier, vol. 124(C).
    12. Gj Kershoff & Bw Smit, 2002. "Conducting Inflation Expectation Surveys in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 70(3), pages 205-212, March.
    13. Binder, Carola Conces, 2015. "Whose expectations augment the Phillips curve?," Economics Letters, Elsevier, vol. 136(C), pages 35-38.
    14. G. Elliott & C. Granger & A. Timmermann (ed.), 2013. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 2, number 2.
    15. Jannie Rossouw & Vishnu Padayachee & Adel Bosch, 2011. "A comparison of inflation expectations and inflation credibility in South Africa: results from survey data," South African Journal of Economic and Management Sciences, University of Pretoria, Faculty of Economic and Management Sciences, vol. 14(3), pages 263-281, September.
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    More about this item

    Keywords

    Inflation expectations survey; Bureau for Economic Research; inflation targeting; monetary policy; survey methodology;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy

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