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The IUP Journal of Monetary Economics
Seasonal Patterns of Inflation Uncertainty for the US Economy: An EGARCH Model Results
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The 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.

 
 
 

Understanding the dynamics of inflation is a difficult task. Most of the attention has been devoted to the (conditional) mean of inflation (Altinok et al., 2009). As the rate of inflation increases as a result of central banks' policy setting, not only the level of inflation but also the volatility of inflation becomes important to monitor. Modeling volatility in the stock market is of interest (French and Roll, 1986; Foster and Viswanathan, 1990 and 1993; Mookerjee and Yu, 1999; and Franses and Paap, 2000), and following Berument and Sahin (2009), this paper analyzes the seasonal movements in inflation uncertainty for a big open economy, the US.

The adverse effect of inflation has been documented in the literature. Hafer (1986) and Holland (1986) have elaborated the negative effect of inflation uncertainty on employment. Friedman (1977), Froyen and Waud (1987), and Holland (1988) have reported the negative effect of inflation volatility on output. Chan (1994) and Berument (1999) have argued that inflation volatility increases interest rates.

However, there are a limited number of studies that explain the behavior of inflation volatility with various economic and political factors. Aisen and Veiga (2006) argue that inflation volatility increases with higher degree of political instability, ideological polarization and political fragmentation. Smith (1999) and Engel and Rogers (2001) claim that inflation volatility increases with exchange rate volatility. Dittmar et al. (1999), Gavin (2003) and Berument and Yuksel (2007) link inflation volatility to inflation targeting regimes, and Grier and Perry (1998), Kontonikas (2002) and Berument and Dincer (2005) link inflation volatility to higher inflation.

 
 
 

Monetary Economics Journal, US Economy, EGARCH Model, Political Fragmentation, Kalman Filters, Error Variances, Conditional Variance Equations, Clustered Models, Monetary Policy, EGARCH Variance Series, Seasonal Dummies.