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Modeling Inflation in Croatia

Author

Listed:
  • MaruÅ¡ka Vizek
  • Tanja Broz

Abstract

This paper constructs a quarterly inflation model for Croatia, using the general-to-specific approach to model inflation dynamics. A two-step procedure is followed. First, we conduct a long-run sectoral analysis of inflation sources, yielding long-run determinants of inflation: markup, excess money, nominal effective exchange rate, and the output gap. Second, we estimate an equilibrium error correction model of inflation, deploying, among other variables of interest, the long-run solutions derived in the first step. The derived model of inflation suggests that inflation inertia and Croatian trading partners' inflation are most important for explaining the short-run behavior of inflation. Apart from these two variables, markup, excess money, output gap, nominal exchange rate, and broad money also contribute to inflation changes in the short run.

Suggested Citation

  • MaruÅ¡ka Vizek & Tanja Broz, 2009. "Modeling Inflation in Croatia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 45(6), pages 87-98, November.
    • Handle: RePEc:mes:emfitr:v:45:y:2009:i:6:p:87-98
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    Cited by:

    1. Tomislav Globan & Vladimir Arčabić & Petar Sorić, 2016. "Inflation in New EU Member States: A Domestically or Externally Driven Phenomenon?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(1), pages 154-168, January.
    2. Ivo Krznar & Davor Kunovac, 2010. "Impact of External Shocks on Domestic Inflation and GDP," Working Papers 26, The Croatian National Bank, Croatia.
    3. Berisha Edmond, 2017. "ECB Monetary Policy Actions and the Economic Conditions of a Non-Euro Member: The Case of Croatia," Global Economy Journal, De Gruyter, vol. 17(2), pages 1-10, June.
    4. Igor Živko & Mile Bošnjak, 2017. "Time Series Modeling of Inflation and its Volatility in Croatia," Notitia - journal for economic, business and social issues, Notitia Ltd., vol. 1(3), pages 1-10, December.
    5. Vugar Rahimov & Shaig Adigozalov & Fuad Mammadov, 2016. "Determinants of Inflation in Azerbaijan," Working Papers 1607, Central Bank of Azerbaijan Republic.
    6. Horváth, Roman & Komárek, Luboš & Rozsypal, Filip, 2011. "Does money help predict inflation? An empirical assessment for Central Europe," Economic Systems, Elsevier, vol. 35(4), pages 523-536.
    7. Daba Ketema Huriso & Belay Belete Anjullo & Yilikal Tesfaye Haile & Derbachew Asfaw Teni, 2024. "Multivariate Generalized Autoregressive Conditional Heteroscedasticity Modeling of the Relationship Between Major Economic Indicators in Ethiopia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7127-7142, June.
    8. Egorov D.A. (Егоров, Д.А.) & Perevyshina E.A. (Перевышина, Е.А.), 2016. "Modelling of Inflationary Processes in Russia [Моделирование Инфляционных Процессов В России]," Working Papers 2138, Russian Presidential Academy of National Economy and Public Administration.
    9. Zapodeanu Daniela & Gavris Natalia & Leac Dafina Roxana & Teudan Ana - Maria, 2011. "A Liniar Model Of Analyzing Inflation In Romania, Bulgaria, Turkey And Croatia," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 445-451, December.
    10. Boromisa, Ana-Maria & Knezović, Sandro, 2008. "Croatia: Integration Perspectives and Synergic Effects of European Transformation in the Countries Targeted by EU Enlargement and Neighbourhood Policies Economy," MPRA Paper 23971, University Library of Munich, Germany.
    11. Valerija Botric, 2012. "NAIRU estimates for Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 163-180.
    12. Fakhri, Hasanov & Khudayar, Hasanli, 2011. "Why had the Money Market Approach been irrelevant in explaining inflation in Azerbaijan during the rapid economic growth period?," MPRA Paper 29559, University Library of Munich, Germany.
    13. Rene Coppe Pimentel & Taufiq Choudhry, 2014. "Stock Returns Under High Inflation and Interest Rates: Evidence from the Brazilian Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1), pages 71-92, January.
    14. Lena Malesevic-Perovic, 2009. "Cointegration Approach to Analysing Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 33(2), pages 201-218.
    15. Claudiu Tiberiu Albulescu & Daniel Goyeau & Cornel Oros, 2015. "On the Long Run Money-Prices Relationship in CEE Countries," Economic Research Guardian, Mutascu Publishing, vol. 5(1), pages 73-96, June.

    More about this item

    Keywords

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    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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