Berument, HakanKose, N.Sahin, A.2019-02-132019-02-1320100972-9291http://hdl.handle.net/11693/49386The purpose of this paper is to assess the seasonal inflation uncertainties for a big open economy, the US, for the period from January 1947 to April 2008. The paper uses EGARCH model which includes volatility in the conditional mean equation capturing the short-term and long-term volatility forecasts and leverage effects. The results indicate that seasonal inflation uncertainty increases in January, April and September and decreases in May, June, July and August.EnglishInflationEGARCH modelUS economySeasonal patterns of inflation uncertainty for the US economy: an EGARCH model resultsArticle