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Measuring central bank independence: a latent variables approach

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Author Info
Jakob de Haan
Erik Leertouwer
Erik Meijer
Tom Wansbeek

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Abstract

We argue that central bank independence (CBI) is a latent variable of which the various existing quantifications are imperfect indicators. We show how factor analysis techniques can be employed to assess the quality of the various indicators, and how an optimal weighting of the indicators can be obtained that gives the best approximation of CBI. We also show how these results can be utilized in models in which CBI is an explanatory variable. In contrast to the well-known study of Campillo and Miron (1997), we find that our CBI indicator is significantly related to inflation, also when various control variables are included. Copyright (c) Scottish Economic Society 2003.

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Publisher Info
Article provided by Scottish Economic Society in its journal Scottish Journal of Political Economy.

Volume (Year): 50 (2003)
Issue (Month): 3 (08)
Pages: 326-340
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Handle: RePEc:bla:scotjp:v:50:y:2003:i:3:p:326-340

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  1. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2008. "Prediction of Latent Variables in a Mixture of Structural Equation Models, with an Application to the Discrepancy Between Survey and Register Data," Working Papers 584, RAND Corporation Publications Department. [Downloadable!]
  2. Leertouwer, Erik & de Haan, Jakob, 2002. "How to Use Indicators for 'Corporatism' in Empirical Applications," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
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This page was last updated on 2009-12-19.


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