IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2007y2007i2id598p226-244.html
   My bibliography  Save this article

Jednoduchý model interakce CPI a PPI: aplikace na měsíční data zemí EU
[A Simple Model of Interaction Between CPI and PPI: Application to Monthly Data of EU Countries]

Author

Listed:
  • Petr Kadeřábek

Abstract

We consider two markets in our model: wholesale, where producers' supply interacts with distributors' demand, and retail with distributors' supply and consumers' demand. The wholesale market determines the producer price index (PPI), production and indirectly also employment. In the retail market the consumer price index (CPI) is formed. We specify a simple dynamic model with two state variables: CPI and PPI. Real variables - production and employment - are fully determined by CPI and PPI. A supply shock shows itself in instant PPI adjustment, a demand shock in CPI. Thus, in the CPI inflation equation the supply shocks are fully determined endogenously by the wholesale - retail markets relationship and for practical use we should add exogenous demand shock to the equation. On the other hand, it would be suitable to add exogenous supply shocks to the PPI inflation, production and employment equations. In the second part we implement the model on monthly data of EU countries. It will be necessary modify the model specification so that we coped with the problems of seasonality and not exactly the same structure of baskets, used for CPI and PPI computations. We estimate each equation of the model both for each single country separately and for the whole panel.

Suggested Citation

  • Petr Kadeřábek, 2007. "Jednoduchý model interakce CPI a PPI: aplikace na měsíční data zemí EU [A Simple Model of Interaction Between CPI and PPI: Application to Monthly Data of EU Countries]," Politická ekonomie, Prague University of Economics and Business, vol. 2007(2), pages 226-244.
  • Handle: RePEc:prg:jnlpol:v:2007:y:2007:i:2:id:598:p:226-244
    DOI: 10.18267/j.polek.598
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.598.html
    Download Restriction: free of charge

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.598.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.598?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ghysels, Eric & Perron, Pierre, 1993. "The effect of seasonal adjustment filters on tests for a unit root," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 57-98.
    2. Hallman, Jeffrey J & Porter, Richard D & Small, David H, 1991. "Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?," American Economic Review, American Economic Association, vol. 81(4), pages 841-858, September.
    3. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    4. Gerlach, Stefan & Svensson, Lars E. O., 2003. "Money and inflation in the euro area: A case for monetary indicators?," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1649-1672, November.
    5. Mizon, Grayham E., 1995. "A simple message for autocorrelation correctors: Don't," Journal of Econometrics, Elsevier, vol. 69(1), pages 267-288, September.
    6. Blaug,Mark, 1997. "Economic Theory in Retrospect," Cambridge Books, Cambridge University Press, number 9780521577014.
    7. Harvey, Andrew & Scott, Andrew, 1994. "Seasonality in Dynamic Regression Models," Economic Journal, Royal Economic Society, vol. 104(427), pages 1324-1345, November.
    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. Rodrigues, Paulo M. M. & Taylor, A. M. Robert, 2004. "Alternative estimators and unit root tests for seasonal autoregressive processes," Journal of Econometrics, Elsevier, vol. 120(1), pages 35-73, May.
    2. Jacek Kotlowski, 2005. "Money and prices in the Polish economy. Seasonal cointegration approach," Working Papers 20, Department of Applied Econometrics, Warsaw School of Economics.
    3. Coenen, Gunter & Wieland, Volker, 2005. "A small estimated euro area model with rational expectations and nominal rigidities," European Economic Review, Elsevier, vol. 49(5), pages 1081-1104, July.
    4. Moosa, Imad A. & Choe, Chongwoo, 1998. "Is the Korean economy export-driven?," Economic Modelling, Elsevier, vol. 15(2), pages 237-255, April.
    5. D R Osborn & M Sensier, 2004. "Modelling UK Inflation: Persistence, Seasonality and Monetary Policy," Centre for Growth and Business Cycle Research Discussion Paper Series 46, Economics, The University of Manchester.
    6. Alexander Vosseler & Enzo Weber, 2017. "Bayesian analysis of periodic unit roots in the presence of a break," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3841-3862, August.
    7. Nicoletti-Altimari, Sergio, 2001. "Does money lead inflation in the euro area?," Working Paper Series 0063, European Central Bank.
    8. Andrés González & Luis Fernando Melo & Carlos Esteban Posada, 2006. "Inflación y dinero en Colombia: otro modelo P-estrella," Borradores de Economia 2851, Banco de la Republica.
    9. Artur Silva Lopes, 2006. "Deterministic seasonality in Dickey–Fuller tests: should we care?," Empirical Economics, Springer, vol. 31(1), pages 165-182, March.
    10. Ghysels, E., 1993. "A Time Series Model with Periodic Stochastic Regime Switching," Cahiers de recherche 9314, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    11. Christian Dreger & Jürgen Wolters, 2010. "M3 money demand and excess liquidity in the euro area," Public Choice, Springer, vol. 144(3), pages 459-472, September.
    12. David Cronin, 2022. "Inflation Shocks – Do Monetary Variables Matter?," Economic Papers, The Economic Society of Australia, vol. 41(2), pages 182-188, June.
    13. Gebhard Kirchgässner & Jürgen Wolters, 2010. "The Role of Monetary Aggregates in the Policy Analysis of the Swiss National Bank," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 221-253, March.
    14. Anne-Laure Delatte & Julien Fouquau & Carsten Holz, 2014. "Explaining money demand in China during the transition from a centrally planned to a market-based monetary system," Post-Communist Economies, Taylor & Francis Journals, vol. 26(3), pages 376-400, September.
    15. Reza Anglingkusumo, 2005. "Money - Inflation Nexus in Indonesia: Evidence from a P-Star Analysis," Tinbergen Institute Discussion Papers 05-054/4, Tinbergen Institute.
    16. Michael T. Belongia & Peter N. Ireland, 2022. "Strengthening the second pillar: a greater role for money in the ECB’s strategy," Applied Economics, Taylor & Francis Journals, vol. 54(1), pages 99-114, January.
    17. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
    18. Mr. Helge Berger & Mr. Thomas Harjes, 2009. "Does Global Liquidity Matter for Monetary Policy in the Euro Area?," IMF Working Papers 2009/017, International Monetary Fund.
    19. Svend Hylleberg, 2006. "Seasonal Adjustment," Economics Working Papers 2006-04, Department of Economics and Business Economics, Aarhus University.
    20. El-Shagi, Makram & Giesen, Sebastian, 2013. "Money and inflation: Consequences of the recent monetary policy," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 520-537.

    More about this item

    Keywords

    inflation; employment; production; panel data; Producer and consumer prices; Static and regressive expectations;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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

    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:prg:jnlpol:v:2007:y:2007:i:2:id:598:p:226-244. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.