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Preference heterogeneity in the CEE inflation-targeting countries

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  • Jung, Alexander
  • Kiss, Gergely

Abstract

The aim of this paper is to study preference heterogeneity in monetary policy committees of inflation-targeting (IT) countries in Central and Eastern Europe (CEE) during the period 2005–2010. It employs (individual) voting records of the Monetary Council of the Hungarian National Bank and of the Monetary Policy Council of the National Bank of Poland. Preference heterogeneity in committees is not directly observable. Therefore, we pursue an indirect measurement and conduct an econometric analysis based on (pooled) Taylor-type reaction functions estimated using real-time information on economic and financial indicators and voting records. Recent evidence for the monetary policy committees of advanced economies (see Besley et al., 2008 and Jung, 2011) suggests preference heterogeneity among its members is systematic. Unlike for monetary policy committees of advanced countries, the present paper finds preference heterogeneity to be random for both the members of the Monetary Policy Council of the National Bank of Poland (NBP), and the members of the Monetary Council of the Hungarian central bank (MNB). But, similar to the committees of advanced economies, the diversity of views on the inflation forecast is measurable in both committees. A separate cluster analysis shows that different preferences of MPC members may be attributable to their status (chairman, internal member, external member) and that members may also differ in their desired response to changes in the economic outlook.

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  • Jung, Alexander & Kiss, Gergely, 2012. "Preference heterogeneity in the CEE inflation-targeting countries," European Journal of Political Economy, Elsevier, vol. 28(4), pages 445-460.
  • Handle: RePEc:eee:poleco:v:28:y:2012:i:4:p:445-460
    DOI: 10.1016/j.ejpoleco.2012.05.004
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    Cited by:

    1. Potrafke, Niklas, 2013. "Minority positions in the German Council of Economic Experts: A political economic analysis," European Journal of Political Economy, Elsevier, vol. 31(C), pages 180-187.
    2. Horváth, Roman & Jonášová, Júlia, 2015. "Central banks' voting records, the financial crisis and future monetary policy," European Journal of Political Economy, Elsevier, vol. 38(C), pages 229-243.
    3. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2013. "Estimating the preferences of central bankers: an analysis of four voting records," CEPR Discussion Papers 9602, C.E.P.R. Discussion Papers.
    4. Chappell, Henry W. & McGregor, Rob Roy, 2018. "Committee decision-making at Sweden's Riksbank," European Journal of Political Economy, Elsevier, vol. 53(C), pages 120-133.
    5. Claudiu Tiberiu Albulescu & Cornel Oros & Aviral Kumar Tiwari, 2017. "Oil price–inflation pass-through in Romania during the inflation targeting regime," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1527-1542, March.
    6. Martin Feldkircher & Florian Huber & Isabella Moder, 2016. "Modeling the evolution of monetary policy rules in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 8-27.
    7. Schepp, Zoltán & Abaligeti, Gallusz & Németh, Kristóf, 2018. "Időben változó Taylor-szabály a hazai monetáris politika jellemzésére [A time-varying parameter Taylor rule for Hungarian monetary policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 24-43.
    8. Jung, Alexander & El-Shagi, Makram, 2015. "Has the publication of minutes helped markets to predict the monetary policy decisions of the Bank of England's MPC?," Working Paper Series 1808, European Central Bank.
    9. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    10. El-Shagi, Makram & Jung, Alexander, 2015. "Have minutes helped markets to predict the MPC's monetary policy decisions?," European Journal of Political Economy, Elsevier, vol. 39(C), pages 222-234.

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    More about this item

    Keywords

    Central Banking; Monetary policy committee; Inflation targeting; Collective decision-making; Voting; Preferences; Pooled regressions;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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