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Rational Partisan Theory, Uncertainty and Spatial Voting: Evidence for the Bank of England’s MPC

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  • Bhattacharjee, A.
  • Holly, S.

Abstract

The transparency and openness of the monetary policymaking process at the Bank of England has provided very detailed information on both the decisions of individual members of the Monetary Policy Committee and the information on which they are based. In this paper we consider this decision making process in the context of a model in which inflation forecast targeting is used but there is heterogeneity among the members of the committee. We find that rational partisan theory can explain spatial voting behaviour under forecast uncertainty about the output gap. Internally generated forecasts of output and market generated expectations of medium term inflation provide the best description of discrete changes in interest rates, in combination with uncertainty in the macroeconomic environment. There is also a role for developments in asset housing and labour markets. Further, spatial voting patterns clearly differentiates between internal and externally appointed members of the Monetary Policy Committee. The results have important implications for committee design and the conduct of monetary policy.

Suggested Citation

  • Bhattacharjee, A. & Holly, S., 2010. "Rational Partisan Theory, Uncertainty and Spatial Voting: Evidence for the Bank of England’s MPC," Cambridge Working Papers in Economics 1002, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:1002
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    as
    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Anne Sibert, 2003. "Monetary Policy Committees: Individual and Collective Reputations," Review of Economic Studies, Oxford University Press, vol. 70(3), pages 649-665.
    3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    4. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    5. Thierry Magnac & Eric Maurin, 2008. "Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data," Review of Economic Studies, Oxford University Press, pages 835-864.
    6. Gerling, Kerstin & Gruner, Hans Peter & Kiel, Alexandra & Schulte, Elisabeth, 2005. "Information acquisition and decision making in committees: A survey," European Journal of Political Economy, Elsevier, vol. 21(3), pages 563-597, September.
    7. repec:cup:apsrev:v:90:y:1996:i:01:p:34-45_20 is not listed on IDEAS
    8. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, pages 1111-1146.
    9. Richard Blundell & James L. Powell, 2001. "Endogeneity in nonparametric and semiparametric regression models," CeMMAP working papers CWP09/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Matsen, Egil & Roisland, Oistein, 2005. "Interest rate decisions in an asymmetric monetary union," European Journal of Political Economy, Elsevier, vol. 21(2), pages 365-384, June.
    11. Gruner, Hans Peter & Kiel, Alexandra, 2004. "Collective decisions with interdependent valuations," European Economic Review, Elsevier, vol. 48(5), pages 1147-1168, October.
    12. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-965, July.
    13. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    14. Han Hong & Elie Tamer, 2003. "Inference in Censored Models with Endogenous Regressors," Econometrica, Econometric Society, pages 905-932.
    15. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
    16. Anselin, Luc, 2002. "Under the hood Issues in the specification and interpretation of spatial regression models," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
    17. Mike Felgenhauer & Hans Peter Grüner, 2008. "Committees and Special Interests," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 10(2), pages 219-243, April.
    18. Robertson, Donald & Symons, James, 2000. "Factor residuals in SUR regressions: estimating panels allowing for cross sectional correlation," LSE Research Online Documents on Economics 20163, London School of Economics and Political Science, LSE Library.
    19. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," Review of Economic Studies, Oxford University Press, vol. 71(3), pages 655-679.
    20. Sanjeev Goyal, 2007. "Introduction to Connections: An Introduction to the Economics of Networks," Introductory Chapters,in: Connections: An Introduction to the Economics of Networks Princeton University Press.
    21. Timothy G. Conley & Giorgio Topa, 2003. "Identification of local interaction models with imperfect location data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 605-618.
    22. Aoki, Kosuke, 2003. "On the optimal monetary policy response to noisy indicators," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 501-523, April.
    23. Bond, Stephen & Bowsher, Clive & Windmeijer, Frank, 2001. "Criterion-based inference for GMM in autoregressive panel data models," Economics Letters, Elsevier, vol. 73(3), pages 379-388, December.
    24. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    25. Conley, Timothy G. & Molinari, Francesca, 2007. "Spatial correlation robust inference with errors in location or distance," Journal of Econometrics, Elsevier, vol. 140(1), pages 76-96, September.
    26. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    27. Kleibergen, Frank, 2007. "Generalizing weak instrument robust IV statistics towards multiple parameters, unrestricted covariance matrices and identification statistics," Journal of Econometrics, Elsevier, vol. 139(1), pages 181-216, July.
    28. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    29. Newey, Whitney K., 1984. "A method of moments interpretation of sequential estimators," Economics Letters, Elsevier, vol. 14(2-3), pages 201-206.
    30. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    31. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, pages 182-202.
    32. Orphanides, Athanasios, 2003. "Monetary policy evaluation with noisy information," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 605-631, April.
    33. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    34. Arnab Bhattacharjee & Sean Holly, 2010. "Rational Partisan Theory, Uncertainty, And Spatial Voting: Evidence For The Bank Of England'S Mpc," Economics and Politics, Wiley Blackwell, vol. 22(2), pages 151-179, July.
    35. Sibert, Anne, 2002. "Monetary policy with uncertain central bank preferences," European Economic Review, Elsevier, vol. 46(6), pages 1093-1109, June.
    36. Yingying Dong & Arthur Lewbel, 2015. "A Simple Estimator for Binary Choice Models with Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 82-105, February.
    37. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    38. Lewbel, Arthur, 2000. "Semiparametric qualitative response model estimation with unknown heteroscedasticity or instrumental variables," Journal of Econometrics, Elsevier, vol. 97(1), pages 145-177, July.
    39. J. Hausman & W. E. Taylor, 1981. "Identification in Linear Simultaneous Equations Models with Covariance Restrictions: An Instrumental Variables Interpretation," Working papers 280, Massachusetts Institute of Technology (MIT), Department of Economics.
    40. Doran, Howard E. & Schmidt, Peter, 2006. "GMM estimators with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data model," Journal of Econometrics, Elsevier, vol. 133(1), pages 387-409, July.
    41. Gibbons, Stephen & Machin, Stephen, 2005. "Valuing rail access using transport innovations," Journal of Urban Economics, Elsevier, vol. 57(1), pages 148-169, January.
    42. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    43. Hao Li & Sherwin Rosen & Wing Suen, 2001. "Conflicts and Common Interests in Committees," American Economic Review, American Economic Association, pages 1478-1497.
    44. Boyan Jovanovic & Peter L. Rousseau, 2002. "The Q-Theory of Mergers," American Economic Review, American Economic Association, pages 198-204.
    45. Boyan Jovanovic & Peter L. Rousseau, 2002. "The Q-Theory of Mergers," American Economic Review, American Economic Association, pages 198-204.
    46. Sanjeev Goyal, 2005. "Strong and Weak Links," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 608-616, 04/05.
    47. Diamond, Peter & Yellin, Joel, 1985. "The Distribution of Inventory Holdings in a Pure Exchange Barter Search Economy," Econometrica, Econometric Society, pages 409-432.
    48. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    49. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    50. Hall, Alastair R., 2004. "Generalized Method of Moments," OUP Catalogue, Oxford University Press, number 9780198775201.
    51. Hausman, Jerry A & Newey, Whitney K & Taylor, William E, 1987. "Efficient Estimation and Identification of Simultaneous Equation Models with Covariance Restrictions," Econometrica, Econometric Society, vol. 55(4), pages 849-874, July.
    52. Townsend, Robert M, 1983. "Forecasting the Forecasts of Others," Journal of Political Economy, University of Chicago Press, vol. 91(4), pages 546-588, August.
    53. Bullock, David S. & Lowenberg-DeBoer, Jess & Swinton, Scott M., 2002. "Adding value to spatially managed inputs by understanding site-specific yield response," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
    54. Hausman, Jerry A & Taylor, William E, 1983. "Identification in Linear Simultaneous Equations Models with Covariance Restrictions: An Instrumental Variables Interpretation," Econometrica, Econometric Society, vol. 51(5), pages 1527-1549, September.
    55. Arnab Bhattacharjee & Sean Holly, 2006. "Taking Personalities out of Monetary Policy Decision Making? Interactions, Heterogeneity and Committee Decisions in the Bank of England’s MPC," CDMA Working Paper Series 200612, Centre for Dynamic Macroeconomic Analysis.
    56. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
    57. Bernard Fingleton, 2003. "Externalities, Economic Geography, And Spatial Econometrics: Conceptual And Modeling Developments," International Regional Science Review, , vol. 26(2), pages 197-207, April.
    58. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    59. A. Bhattacharjee & C. Higson & S. Holly & P. Kattuman, 2009. "Macroeconomic Instability and Business Exit: Determinants of Failures and Acquisitions of UK Firms," Economica, London School of Economics and Political Science, vol. 76(301), pages 108-131, February.
    60. Giacomini, Raffaella & Granger, Clive W. J., 2004. "Aggregation of space-time processes," Journal of Econometrics, Elsevier, pages 7-26.
    61. Joris Pinkse & Margaret Slade, 2007. "Semi-structural models of advertising competition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1227-1246.
    62. Petra Gerlach-Kristen, 2004. "Is the MPC's Voting Record Informative about Future UK Monetary Policy?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 299-313, June.
    63. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    64. Goyal, Sanjeev & Vega-Redondo, Fernando, 2007. "Structural holes in social networks," Journal of Economic Theory, Elsevier, vol. 137(1), pages 460-492, November.
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    Cited by:

    1. Schultefrankenfeld Guido, 2013. "Forecast uncertainty and the Bank of England’s interest rate decisions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, pages 1-20.
    2. Matthias Neuenkirch & Pierre Siklos, 2014. "When is Lift-Off? Evaluating Forward Guidance from the Shadow," Open Economies Review, Springer, pages 819-839.
    3. Arnab Bhattacharjee & Sean Holly, 2013. "Understanding Interactions in Social Networks and Committees," Spatial Economic Analysis, Taylor & Francis Journals, pages 23-53.
    4. Arnab Bhattacharjee & Sean Holly, 2011. "Structural interactions in spatial panels," Empirical Economics, Springer, pages 69-94.
    5. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    6. Horvath, Roman & Rusnak, Marek & Smidkova, Katerina & Zapal, Jan, 2011. "Dissent voting behavior of central bankers: what do we really know?," MPRA Paper 34638, University Library of Munich, Germany.
    7. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Inferring Hawks and Doves from Voting Records," Discussion Paper 2013-024, Tilburg University, Center for Economic Research.
    8. Roman Horváth & Katerina Šmídková & Jan Zápal, 2012. "Central Banks' Voting Records and Future Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 8(4), pages 1-19, December.
    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.

    More about this item

    Keywords

    Monetary policy; interest rates; Monetary Policy Committee; Committee decision making;

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • 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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