IDEAS home Printed from https://ideas.repec.org/b/bis/bisbps/49.html
   My bibliography  Save this book

Monetary policy and the measurement of inflation: prices, wages and expectations

Author

Listed:
  • Bank for International Settlements

Abstract

Issues of inflation measurement are fundamental to the conduct of monetary policy. Price indices form the foundation of central bank policy frameworks around the world. They serve as guides to decision-making, as well as providing the primary mechanism for holding independent policymakers accountable. To shed some light on the role of inflation measurement, the annual meeting of Deputy Governors of emerging market economies (EMEs), held in Basel on 5-6 February 2009, explored three issues: price indices used by central banks; the role of wages and productivity in inflation policy; and the measurement and assessment of inflation expectations. This volume contains contributions by senior central bankers and BIS staff. The issues are summarised in an overview chapter by Stephen Cecchetti. Price indices used by central banks. The primary price indicator or target of EME central banks is headline CPI, supplemented by other indicators. At least two issues of measurement arise. The first is transitory phenomena, or noise, that should not affect policymakers' actions. Many central banks deal with noise by using measures of underlying or core inflation that exclude certain prices from computation in the index. The second issue is measurement biases, related to the way in which individual prices are weighted together to form an aggregate index (weighting bias; eg substitution bias); or due to actual errors in measuring the individual prices themselves (eg quality or new goods bias). Wages, productivity and structural inflation. Wages are a key element in the inflation process: wage growth equals productivity growth plus inflation and real wage growth that is in line with labour productivity growth is widely seen as a precondition for macroeconomic stability. In EMEs, a close relationship between real wage growth and labour productivity growth helps preserve external competitiveness while limiting inflationary pressures and the risk of a wage-price spiral developing. The adoption of inflation targeting frameworks by many emerging market central banks has provided an incentive to compile better labour market data and has enabled central banks to use productivity and unit labour costs more widely in their inflation forecasts. Other aspects of the role of wages in inflation are highlighted by two-sector models of differential productivity growth in tradable and non-tradable industries. One implication is that the rate of wage increase will depend on wage increase in the tradable sector. Another is that inflation sometimes reflect productivity growth in tradable industries, so not all inflation in rapidly-growing EMEs is necessarily undesirable or avoidable. Inflation expectations and monetary policy. Three issues may be highlighted that are discussed in this volume drawing on EME experience: (i) How central banks measure inflation expectations and use such measures; (ii) the relationship between inflation expectations and the costs of disinflation; and (iii) whether monetary policy frameworks are effective in anchoring inflation expectations. Measurements of expectations draw either on surveys (of households and businesses, professional forecasters and financial market participants) or financial markets (eg the difference in return between an inflation-linked bond and a nominal rate). As for the costs of disinflation, these are related to inflation persistence, which can in turn be related to expectations (eg backward-looking, or reflecting limited information about central bank objectives). Finally, the experience of central banks suggests that inflation expectations have been better anchored in this decade.

Suggested Citation

  • Bank for International Settlements, 2010. "Monetary policy and the measurement of inflation: prices, wages and expectations," BIS Papers, Bank for International Settlements, number 49.
  • Handle: RePEc:bis:bisbps:49
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/bppdf/bispap49.pdf
    File Function: Full PDF document
    Download Restriction: no

    File URL: http://www.bis.org/publ/bppdf/bispap49.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark Bils & Peter J. Klenow, 2001. "Quantifying Quality Growth," American Economic Review, American Economic Association, vol. 91(4), pages 1006-1030, September.
    2. Jerry Hausman, 2002. "Sources of Bias and Solutions to Bias in the CPI," NBER Working Papers 9298, National Bureau of Economic Research, Inc.
    3. repec:bla:devpol:v:24:y:2006:i:2:p:163-174 is not listed on IDEAS
    4. Dora L. Costa, 2001. "Estimating Real Income in the United States from 1888 to 1994: Correcting CPI Bias Using Engel Curves," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1288-1310, December.
    5. Alastair Cunningham, 1996. "Measurement Bias in Price Indices: An Application to the UK's RPI," Bank of England working papers 47, Bank of England.
    6. Bruce W. Hamilton, 2001. "Using Engel's Law to Estimate CPI Bias," American Economic Review, American Economic Association, vol. 91(3), pages 619-630, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alex Contreras & Zenón Quispe & Fernando Regalado, 2017. "Real dollarization and monetary policy in Peru," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
    2. Wagner Piazza Gaglianone, 2017. "Empirical Findings on Inflation Expectations in Brazil: a survey," Working Papers Series 464, Central Bank of Brazil, Research Department.
    3. Ricardo Sousa & James Yetman, 2016. "Inflation expectations and monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 41-67, Bank for International Settlements.
    4. Alessandro Flamini & Costas Milas, 2014. "Open-economy Distribution Forecast Targeting, Macroeconomic Volatility and Financial Implication," DEM Working Papers Series 080, University of Pavia, Department of Economics and Management.
    5. Mohamad Imdadul Haque & Mohammad Imran Yunus & Abdul Rahman Shaik, 2021. "The Correlates of Terms of Trade in Oil Exporting Countries of Gulf Cooperation Council Region," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 543-548.
    6. Vicente da Gama Machado & Marcelo Savino Portugal, 2014. "Phillips curve in Brazil: an unobserved components approach," Working Papers Series 354, Central Bank of Brazil, Research Department.
    7. Juan Andrés Espinosa-Torres & Luis Fernando Melo-Velandia & José Fernando Moreno-Gutiérrez, 2017. "Expectativas de inflación, prima de riesgo inflacionario y prima de liquidez: una descomposición del break-even inflation para los bonos del Gobierno colombiano," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 78, February.
    8. Miguel Saldarriaga & Pablo del Aguila & Kevin Gershy-Damet, 2017. "Has inflation targeting anchored inflation expectations? Evidence from Peru," Working Papers 103, Peruvian Economic Association.
    9. Kiran Ijaz & Muhammad Zakaria & Bashir A. Fida, 2014. "Terms-of-Trade Volatility and Inflation in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 19(1), pages 111-132, Jan-June.
    10. Jorge Fornero & Markus Kirchner & Andrés Yany, 2015. "Terms of Trade Shocks and Investment in Commodity-Exporting Economies," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Caputo & Roberto Chang (ed.),Commodity Prices and Macroeconomic Policy, edition 1, volume 22, chapter 5, pages 135-193, Central Bank of Chile.
    11. Clara De Luigi & Florian Huber & Josef Schreiner, 2019. "The impact of labor cost growth on inflation in selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/19, pages 56-78.
    12. Paramita Mukherjee & Dipankor Coondoo, 2019. "The Indian Inflation 2006–2016: An Econometric Investigation," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 20(1), pages 46-69, March.
    13. Winkelried, Diego & Gutierrez, José Enrique, 2012. "Regional inflation dynamics and inflation targeting in Peru," Working Papers 2012-018, Banco Central de Reserva del Perú.
    14. Diego Winkelried & José Enrique Gutierrez, 2015. "Regional Inflation Dynamics and Inflation Targeting. The Case of Peru," Journal of Applied Economics, Taylor & Francis Journals, vol. 18(2), pages 199-224, November.
    15. Ariel Weinberger, 2015. "Markups and misallocation with trade and heterogeneous firms," Globalization Institute Working Papers 251, Federal Reserve Bank of Dallas.
    16. Winkelried, Diego & Gutiérrez, José, 2012. "Dinámica inflacionaria regional y el esquema de metas de inflación en el Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 24, pages 79-98.
    17. Carlos Huertas Campos & Eliana González Molano & Cristhian Ruiz Cardozo, 2015. "La formación de expectativas de inflación en Colombia," Borradores de Economia 12699, Banco de la Republica.
    18. Leilane de Freitas Rocha Cambara & Roberto Meurer, Gilberto Tadeu Lima, 2019. "Deviating from Perfect Foresight but not from Theoretical Consistency: The Behavior of Inflation Expectations in Brazil," Working Papers, Department of Economics 2019_36, University of São Paulo (FEA-USP).
    19. Eliana R. González-Molano & Ramón Hernández-Ortega & Edgar Caicedo-García & Nicolás Martínez-Cortés & Jose Vicente Romero & Anderson Grajales-Olarte, 2020. "Nueva Clasificación del BANREP de la Canasta del IPC y revisión de las medidas de Inflación Básica en Colombia," Borradores de Economia 1122, Banco de la Republica de Colombia.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mehmet Yörükoglu, 2010. "Difficulties in inflation measurement and monetary policy in emerging market economies," BIS Papers chapters, in: Bank for International Settlements (ed.), Measurement of inflation and the Philippine monetary policy framework, volume 49, pages 369-389, Bank for International Settlements.
    2. Mark A. Wynne, 2005. "An estimate of the measurement bias in the HICP," Working Papers 0509, Federal Reserve Bank of Dallas.
    3. David Atkin & Benjamin Faber & Thibault Fally & Marco Gonzalez-Navarro, 2024. "Measuring Welfare and Inequality with Incomplete Price Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(1), pages 419-475.
    4. Filho, Irineu de Carvalho & Chamon, Marcos, 2012. "The myth of post-reform income stagnation: Evidence from Brazil and Mexico," Journal of Development Economics, Elsevier, vol. 97(2), pages 368-386.
    5. Svedberg, Peter & Tilton, John E., 2006. "The real, real price of nonrenewable resources: copper 1870-2000," World Development, Elsevier, vol. 34(3), pages 501-519, March.
    6. Timothy K.M. Beatty & Erling Røed Larsen, 2005. "Using Engel curves to estimate bias in the Canadian CPI as a cost of living index," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(2), pages 482-499, May.
    7. Pablo Gluzmann & Federico Sturzenegger, 2018. "An estimation of CPI biases in Argentina 1985–2005 and its implications on real income growth and income distribution," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 27(1), pages 1-50, December.
    8. Bruce D. Meyer & James X. Sullivan, 2009. "Five Decades of Consumption and Income Poverty," NBER Working Papers 14827, National Bureau of Economic Research, Inc.
    9. Menggen Chen & Yan Wang & D. S. Prasada Rao, 2020. "Measuring the spatial price differences in China with regional price parity methods," The World Economy, Wiley Blackwell, vol. 43(4), pages 1103-1146, April.
    10. Paul Scanlon, 2018. "Why Do People Work So Hard?," 2018 Meeting Papers 1206, Society for Economic Dynamics.
    11. Ingvild Almås & Timothy K.M. Beatty & Thomas F. Crossley, 2018. "Lost in Translation: What do Engel Curves Tell us about the Cost of Living?," CESifo Working Paper Series 6886, CESifo.
    12. Almås, Ingvild & Johnsen, Åshild Auglænd, 2012. "The cost of living in China: Implications for inequality and poverty," Discussion Paper Series in Economics 21/2012, Norwegian School of Economics, Department of Economics.
    13. Andrew Dabalen & Isis Gaddis & Nga Thi Viet Nguyen, 2020. "CPI Bias and its Implications for Poverty Reduction in Africa," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 13-44, March.
    14. Emi Nakamura & Jón Steinsson & Miao Liu, 2016. "Are Chinese Growth and Inflation Too Smooth? Evidence from Engel Curves," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 113-144, July.
    15. David E. Lebow & Jeremy B. Rudd, 2003. "Measurement Error in the Consumer Price Index: Where Do We Stand?," Journal of Economic Literature, American Economic Association, vol. 41(1), pages 159-201, March.
    16. Almås, Ingvild & Kjelsrud, Anders, 2017. "Rags and Riches: Relative Prices, Non-Homothetic Preferences, and Inequality in India," World Development, Elsevier, vol. 97(C), pages 102-121.
    17. Cook, Jonathan Aaron, 2013. "Does Chinese Inflation Understate Cost of Living?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150571, Agricultural and Applied Economics Association.
    18. Arpit Gupta & Anup Malani & Bartek Woda, 2021. "Explaining the Income and Consumption Effects of COVID in India," NBER Working Papers 28935, National Bureau of Economic Research, Inc.
    19. Yavuz Arslan & Evren Ceritoglu, 2011. "Kalite Artislari ve Enflasyon : Turkiye Ornegi," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 11(1), pages 1-9.
    20. Aleksandra Hałka & Agnieszka Leszczyńska, 2011. "Wady i zalety wskaźnika cen towarów i usług konsumpcyjnych – szacunki obciążenia," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 51-75.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bis:bisbps:49. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.