IDEAS home Printed from https://ideas.repec.org/p/cnb/wpaper/2020-9.html
   My bibliography  Save this paper

The Intertemporal Cost of Living and Dynamic Inflation: The Case of the Czech Republic

Author

Listed:
  • Ivan Sutoris

Abstract

When consumers optimize intertemporally, a true cost of living index will depend on changes in both current and future prices as well as rates of return on financial assets. This paper aims to construct a measure of such "dynamic inflation" for the Czech Republic from a solution to the household's intertemporal consumption-saving problem. Dynamic inflation is derived to be a function of current movements in consumption and house prices as well as revisions to forecasts of the future paths of inflation and interest rates. The resulting series constructed from Czech data roughly follows CPI inflation, but is more volatile and less persistent. Housing booms can cause persistent upward deviations, while changes in expected interest rates have a stabilizing effect. In addition, the intertemporal cost of living can also potentially be affected by low-frequency structural shifts in the economy.

Suggested Citation

  • Ivan Sutoris, 2020. "The Intertemporal Cost of Living and Dynamic Inflation: The Case of the Czech Republic," Working Papers 2020/9, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2020/9
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2020_09.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. W. Erwin Diewert, 2002. "Harmonized Indexes of Consumer Prices: Their Conceptual Foundations," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(IV), pages 547-637, December.
    2. Tomas Havranek & Mojmir Hampl, 2017. "Should Inflation Measures Used by Central Banks Incorporate House Prices? The Czech National Bank's Approach," Research and Policy Notes 2017/01, Czech National Bank.
    3. Michael F. Bryan & Stephen G. Cecchetti & Roisin O'Sullivan, 2002. "Asset Prices in the Measurement of Inflation," NBER Working Papers 8700, National Bureau of Economic Research, Inc.
    4. Jan Frait & Luboš Komárek, 2007. "Monetary Policy and Asset Prices: What Role for Central Banks in New EU Member States?," Prague Economic Papers, Prague University of Economics and Business, vol. 2007(1), pages 3-23.
    5. Shiratsuka, Shigenori, 1999. "Asset Price Fluctuation and Price Indices," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 17(3), pages 103-128, December.
    6. Goodhart, Charles, 2001. "What Weight Should Be Given to Asset Prices in the Measurement of Inflation?," Economic Journal, Royal Economic Society, vol. 111(472), pages 335-356, June.
    7. Ricardo Reis, 2005. "A Dynamic Measure of Inflation," NBER Working Papers 11746, National Bureau of Economic Research, Inc.
    8. Hiroshi Shibuya, 1992. "Dynamic Equilibrium Price Index: Asset Price and Inflation," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 10(1), pages 95-109, February.
    9. Robert A. Pollak, 1975. "The Intertemporal Cost of Living Index," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 4, number 1, pages 179-198, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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. Gerhard R?sl & Karl-Heinz T?dter, 2015. "The Costs and Welfare Effects of ECB's Financial Repression Policy: Consequences for German Savers," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 42-59, November.
    2. Tödter, Karl-Heinz & Ziebarth, Gerhard, 2018. "Zinsen, Effektivpreise und Lebenskosten: Ein Beitrag zur Konstruktion eines intertemporalen Preisindex," IMFS Working Paper Series 123, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    3. Aoki, Shuhei & Kitahara, Minoru, 2008. "Measuring the Dynamic Cost of Living Index from Consumption Data," MPRA Paper 9802, University Library of Munich, Germany.
    4. Weida Kuang & Peng Liu, 2015. "Inflation and House Prices: Theory and Evidence from 35 Major Cities in China," International Real Estate Review, Global Social Science Institute, vol. 18(2), pages 217-240.
    5. Imran H. Shah & Simón Sosvilla‐Rivero, 2021. "Incorporating asset price stability in the European Central Bank's inflation targeting framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2022-2043, April.
    6. Mojmir Hampl & Tomas Havranek, 2017. "Should Inflation Measures Used by Central Banks Incorporate House Prices? The Czech Approach," Working Papers IES 2017/12, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2017.
    7. Tomas Havranek & Mojmir Hampl, 2017. "Should Inflation Measures Used by Central Banks Incorporate House Prices? The Czech National Bank's Approach," Research and Policy Notes 2017/01, Czech National Bank.
    8. Michael F. Bryan & Stephen G. Cecchetti & Roisin O'Sullivan, 2002. "Asset Prices in the Measurement of Inflation," NBER Working Papers 8700, National Bureau of Economic Research, Inc.
    9. Yusuke Takahashi & Yoichiro Tamanyu, 2022. "Households' Perceived Inflation and CPI Inflation: the Case of Japan," Bank of Japan Working Paper Series 22-E-1, Bank of Japan.
    10. Gerhard Rösl & Karl-Heinz Tödter, 2015. "Zins- und Wohlfahrtseffekte extremer Niedrigzinspolitik für die Sparer in Deutschland," ROME Working Papers 201501, ROME Network.
    11. Tödter Karl-Heinz & Ziebarth Gerhard, 2021. "Lifetime Cost of Living and Effective Prices: Theory and Evidence for Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(1), pages 29-69, February.
    12. Eric Tymoigne, 2006. "Asset Prices, Financial Fragility, and Central Banking," Economics Working Paper Archive wp_456, Levy Economics Institute.
    13. Kazumasa Iwata, 2007. "Housing and monetary policy in Japan," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 445-461.
    14. Abdelaziz Rouabah, 2007. "L'inflation et la rentabilité des actions : une relation énigmatique et un casse-tête pour les banques centrales," Économie et Prévision, Programme National Persée, vol. 177(1), pages 19-34.
    15. W. Erwin Diewert & Kiyohiko G. Nishimura & Chihiro Shimizu & Tsutomu Watanabe, 2020. "Measuring the Services of Durables and Owner Occupied Housing," Advances in Japanese Business and Economics, in: Property Price Index, chapter 0, pages 223-298, Springer.
    16. Reis, Ricardo, 2005. "A cost-of-living dynamic price index, with an application to indexing retirement accounts," CEPR Discussion Papers 5394, C.E.P.R. Discussion Papers.
    17. Shuhei Aoki & Minoru Kitahara, 2010. "Measuring a Dynamic Price Index Using Consumption Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 959-964, August.
    18. Mojmír Hampl and Tomáš Havránek, 2017. "Should monetary policy pay attention to house prices? The Czech National Bank’s approach," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential policy frameworks, implementation and relationships with other policies, volume 94, pages 129-140, Bank for International Settlements.
    19. Imran Hussain Shah & Ahmad Hassan Ahmad, 2017. "How important is the financial sector to price indices in an inflation targeting regime? An empirical analysis of the UK and the US," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 1063-1082, May.
    20. Goodhart, Charles & Hofmann, Boris, 2000. "Financial Variables and the Conduct of Monetary Policy," Working Paper Series 112, Sveriges Riksbank (Central Bank of Sweden).

    More about this item

    Keywords

    Cost of living; CPI; dynamic inflation; intertemporal optimization;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cnb:wpaper:2020/9. 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: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.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.