English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Several central banks have adopted inflation targets. The implementation of these targets is flexible; thecentral banks aim to meet the target over the long term but allow inflation to deviate from the target in the short-termin order to avoid unnecessary volatility in the real economy. In this paper, we propose modeling the degree offlexibility using an ARFIMA model. Under the assumption that the central bankers control the long-run inflationrates, the fractional integration order captures the flexibility of the inflation targets. A higher integration order isassociated with a more flexible target. Several estimators of the fractional integration order have been proposed inthe literature. Grassi and Magistris (2011) show that a state-based maximum likelihood estimator is superior to otherestimators, but our simulations show that their finding is over-biased for a nearly non-stationary time series. Weresolve this issue by using a Bayesian Monte Carlo Markov Chain (MCMC) estimator. Applying this estimator toinflation from six inflation-targeting countries for the period 1999M1 to 2013M3, we find that inflation is integratedof order 0.8 to 0.9 depending on the country. The inflation targets are thus implemented with a high degree offlexibility

Are Central Bankers Inflation Nutters? A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model