The Natural Rate of Interest: Information Derived from a Shadow Rate Model

Viktors Ajevskis ()

No 2018/02, Working Papers from Latvijas Banka

Abstract: The study proposes an estimation method of the natural rate of interest based on the shadow rate term structure of interest rates model and using information from nominal yields data. For the purpose of comparison and robustness check, different samples for the estimation of the natural rate of interest – three for the euro area and two for the US – are considered. The estimates based on all considered samples show a downturn trend in the estimated natural rates of interest for the euro area. However, since the beginning of 2013, this downward trend has levelled off. Compared to the results obtained by affine models, the shadow rate model produces lower estimates of natural rates of interest. From the beginning of 2013, the dynamics of estimated series of the US natural rate of interest closely follows the series produced by Laubach–Williams. However, before that the series are more divergent. In order to demonstrate the use of the natural rate of interest, we employ the estimated series of the natural rate of interest in the balance-approach version of the Taylor rule. The results imply that, at the end of the sample in July 2017, Taylor rule-suggested policy rates were in line with the actual ECB policy rates.

Keywords: natural rate of interest; term structure of interest rates; lower bound; non-linear Kalman filter (search for similar items in EconPapers)
JEL-codes: C24 C32 E43 E58 G12 (search for similar items in EconPapers)
Date: 2018-04-20
New Economics Papers: this item is included in nep-eec, nep-mac and nep-mon
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Citations: View citations in EconPapers (4)

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Related works:
Journal Article: The natural rate of interest: information derived from a shadow rate model (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:ltv:wpaper:201802

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