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Consumers, Consumer Prices and the Czech Business Cycle Identification

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  • Jiri Podpiera

Abstract

In this paper we propose an alternative method for deriving the business cycle. We interpret the varying inflationary responses to a constant demand shock in a partial equilibrium model. An above-average inflationary response indicates a boom phase and a below-average response shows an economic slowdown. Our model uses data for prices and household budget shares which are not subject to revisions and are consistent with the inflation measure. Hence, it mitigates the common drawbacks of usually applied techniques, such as real-time data mismeasurement or end-point bias of univariate filters. It follows that the results are altered neither by GDP data revisions, labor share determination and NAIRU estimation and total productivity smoothing, nor by the end-point bias of data filtering. The proposed method is thus preferred to other complementary methods such as GDP series filtering or the production function approach in showing truly the inflation environment. It is applied to the Czech quarterly data during 1994- 2003 and compared to other available business cycle estimates for the Czech economy. Comparing our business cycle estimation method with the production function method, used by the Economic Intelligence Unit and the Czech Ministry of Finance, and the Kalman filter, used by the Czech National Bank, we found the highest correlation between our measure and the Economic Intelligence Unit's indicator.

Suggested Citation

  • Jiri Podpiera, 2004. "Consumers, Consumer Prices and the Czech Business Cycle Identification," Working Papers 2004/04, Czech National Bank.
  • Handle: RePEc:cnb:wpaper:2004/04
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    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp42004.pdf
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    References listed on IDEAS

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    1. Fuhrer, Jeffrey C, 1997. "The (Un)Importance of Forward-Looking Behavior in Price Specifications," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 338-350, August.
    2. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
    3. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    4. Giordani, Paolo, 2004. "An alternative explanation of the price puzzle," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1271-1296, September.
    5. Willman, Alpo, 2002. "Euro area production function and potential output: a supply side system approach," Working Paper Series 153, European Central Bank.
    6. Ehrmann, Michael & Smets, Frank, 2003. "Uncertain potential output: implications for monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1611-1638, July.
    7. Argia M. Sbordone, 2002. "An optimizing model of U.S. wage and price dynamics," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    8. Paolo Guarda, 2002. "Potential output and the output gap in Luxembourg: some alternative methods," BCL working papers 4, Central Bank of Luxembourg.
    9. Claude Giorno & Pete Richardson & Deborah Roseveare & Paul van den Noord, 1995. "Estimating Potential Output, Output Gaps and Structural Budget Balances," OECD Economics Department Working Papers 152, OECD Publishing.
    10. Roberts, John M., 1997. "Is inflation sticky?," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 173-196, July.
    11. Ms. Paula De Masi, 1997. "IMF Estimates of Potential Output: Theory and Practice," IMF Working Papers 1997/177, International Monetary Fund.
    12. Muellbauer, John, 1976. "Community Preferences and the Representative Consumer," Econometrica, Econometric Society, vol. 44(5), pages 979-999, September.
    13. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    14. John Muellbauer, 1975. "Aggregation, Income Distribution and Consumer Demand," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(4), pages 525-543.
    15. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Jaromir Benes & Tibor Hledik & Jaromir Hurnik & Jiri Podpiera & Jan Vlcek, 2005. "CNB Economic Research Bulletin: Potential Output," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 3, number rb03/1 edited by Vladislav Flek, January.

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    More about this item

    Keywords

    Business cycle; inflation environment; simultaneous model.;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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