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Inflated Ordered Outcomes

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Abstract

We extend Harris and Zhao (2007) by proposing a (Panel) Inflated Ordered Probit model, and demonstrate its usefulness by applying it to Bank of England Monetary Policy Committee voting data.

Suggested Citation

  • Robert Brooks & Mark N. Harris & Christopher Spencer, 2012. "Inflated Ordered Outcomes," Discussion Paper Series 2012_09, Department of Economics, Loughborough University, revised Oct 2012.
    • Handle: RePEc:lbo:lbowps:2012_09
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    References listed on IDEAS

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    1. Aoki, Kosuke, 2003. "On the optimal monetary policy response to noisy indicators," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 501-523, April.
    2. Budd, Alan, 1998. "The Role and Operations of the Bank of England Monetary Policy Committee," Economic Journal, Royal Economic Society, vol. 108(451), pages 1783-1794, November.
    3. Silvia Fabiani & Martine Druant & Ignacio Hernando & Claudia Kwapil & Bettina Landau & Claire Loupias & Fernando Martins & Thomas Mathä & Roberto Sabbatini & Harald Stahl & Ad Stokman, 2006. "What Firms' Surveys Tell Us about Price-Setting Behavior in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    4. Petra Gerlach-Kristen, 2009. "Outsiders at the Bank of England's MPC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1099-1115, September.
    5. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
    6. Timothy Besley & Neil Meads & Paolo Surico, 2008. "Insiders versus Outsiders in Monetary Policymaking," American Economic Review, American Economic Association, vol. 98(2), pages 218-223, May.
    7. Mark N. Harris & Christopher Spencer, 2009. "The Policy Choices and Reaction Functions of Bank of England MPC Members," Southern Economic Journal, Southern Economic Association, vol. 76(2), pages 482-499, October.
    8. Mark N. Harris & Christopher Spencer, 2009. "The Policy Choices and Reaction Functions of Bank of England MPC Members," Southern Economic Journal, John Wiley & Sons, vol. 76(2), pages 482-499, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Greene, William H. & Gillman, Max & Harris, Mark N. & Spencer, Christopher, 2013. "The Tempered Ordered Probit (TOP) Model with an Application to Monetary Policy," CEI Working Paper Series 2013-04, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    2. Fumagalli, Elena & Fumagalli, Laura, 2022. "Subjective well-being and the gender composition of the reference group: Evidence from a survey experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 196-219.
    3. Sirchenko Andrei, 2012. "A model for ordinal responses with an application to policy interest rate," EERC Working Paper Series 12/13e, EERC Research Network, Russia and CIS.
    4. Makram El‐Shagi & Steven J. Yamarik, 2021. "IMF conditionality and capital controls: Capital account liberalization to capital inflow management?," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 590-605, August.
    5. Cour-Thimann, Philippine & Jung, Alexander, 2020. "Interest rate setting and communication at the ECB," Working Paper Series 2443, European Central Bank.
    6. William H Greene & Mark N Harris & Christopher Spencer, 2013. "Estimating the Standard Errors of Individual-Specific Parameters in Random Parameters Models," Bankwest Curtin Economics Centre Working Paper series WP1309, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    7. David Dale & Andrei Sirchenko, 2021. "Estimation of nested and zero-inflated ordered probit models," Stata Journal, StataCorp LLC, vol. 21(1), pages 3-38, March.
    8. Benjamin E. Bagozzi, 2016. "The baseline-inflated multinomial logit model for international relations research," Conflict Management and Peace Science, Peace Science Society (International), vol. 33(2), pages 174-197, April.
    9. Seibert, Armin & Sirchenko, Andrei & Müller, Gernot, 2021. "A model for policy interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
    10. Belderbos, Rene & Ikeuchi, Kenta & Fukao, Kyoji & Kim, Young Gak & Kwon, Hyeog Ug, 2013. "Plant Productivity Dynamics and Private and Public R&D Spillovers: Technological, Geographic and Relational Proximity," CEI Working Paper Series 2013-05, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    11. 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.
    12. Sarah Brown & Mark N. Harris & Christopher Spencer, 2020. "Modelling Category Inflation with Multiple Inflation Processes: Estimation, Specification and Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1342-1361, December.
    13. Cour-Thimann, Philippine & Jung, Alexander, 2021. "Interest-rate setting and communication at the ECB in its first twenty years," European Journal of Political Economy, Elsevier, vol. 70(C).
    14. 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.
    15. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.

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    More about this item

    Keywords

    Panel Inflated Ordered Probit; random effects; inflated outcomes; voting; Monetary Policy Committee;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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