Abstract
This paper examines the revenue-smoothing hypothesis, which posits that an optimizing government will adjust both taxes and inflation to meet shocks to government spending. Our contribution is to examine this through the lens of a new methodology that relates both the first and second moments of inflation rates to central bank independence (CBI) measures. Unlike existing least-squares-based CBI papers, this study uses a maximum likelihood framework that facilitates the direct inclusion of CBI parameters in the residual covariance matrix. This new approach allows for a more intensive use of information contained in the CBI indexes and the estimates obtained are better reflective of CBI influences. Our results provide stronger evidence confirming the revenue-smoothing hypothesis, in particular for those countries with more independent central banks.
| Original language | English |
|---|---|
| Pages (from-to) | 147-160 |
| Number of pages | 14 |
| Journal | International Advances in Economic Research |
| Volume | 12 |
| Issue number | 2 |
| DOIs | |
| State | Published - May 2006 |
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