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time series driven by expectation relationships. We consider inflation data on the G7 countries to illustrate these results. …
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We examine the short-term performance of two alternative approaches to forecasting using dynamic factor models. The first approach extracts the seasonal component of the individual indicators before estimating the dynamic factor model, while the alternative uses the non-seasonally adjusted data...
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Time series analysis of Nigerian monthly Inflation Rates (INFL) Data is done. It is observed that it is seasonal. Based … forecasts are obtained on the basis of it. These forecasts are shown to agree closely with the observations. -- inflation rate …
Persistent link: https://www.econbiz.de/10009769978
This paper considers the application of long memory processes to describe inflation with seasonal behaviour. We use … inflation rates of four different countries, USA, Canada, Tunisia, and South Africa. The analysis is carried out using the … persistence is a common feature for inflation series. Note that neglecting the existence of additive outliers may possibly biased …
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In this paper, we present a new time series model, whichdescribes self-exciting threshold autoregressive (SETAR) nonlinearityand seasonality simultaneously. The model is termed multiplicativeseasonal SETAR (SEASETAR). It can be viewed as a special case of ageneral non-multiplicativeSETAR model...
Persistent link: https://www.econbiz.de/10011304390
It has been argued that economies with more independent central banks experience lower inflation over time. In this … the inflation rate dynamics. Second, we implement a panel data analysis. We find evidence that legislative reforms that … modify the degree of independence of a central bank have a strong impact on the inflation rate dynamics. Moreover, underlying …
Persistent link: https://www.econbiz.de/10012975112