A novel multi-resonance CPW-fed slot antenna, for UWB applications, is proposed. The proposed antenna consists of a modified fan-shaped radiating stub and a sprocket-shaped ground plane provides a wide usable fractional bandwidth of more than 155% (2.39 -24.53 GHz). By inserting eight pairs of gear-shaped teeth on the sprocket-shaped ground plane, an additional eight resonances are excited and hence much wider impedance bandwidth can be produced. Unlike other antennas reported in the literature to date, the proposed antenna displays a good omnidirectional radiation pattern even at higher frequencies. The designed antenna has a small size of 30 × 30 mm 2 . Simulated and experimental results obtained for this antenna show that it exhibits good radiation behaviour within the UWB frequency range.
This paper investigates the relationship between inflation, economic growth and their respective uncertainties in Iran for the period of 1988–2008 by using quarterly data. We employ a Bivariate Generalized Autoregressive Conditional Heteroskedasticity-in-Mean (BGARCH-M) model to examine in a unified empirical framework all the possible interactions between inflation uncertainty and growth in Iran. The model is simultaneously estimated by using the maximum log-likelihood method with the BEKK approach. The main findings of the present study are: (1) Inflation causes inflation uncertainty, supporting the Friedman-Ball hypothesis. (2) Inflation uncertainty affects the level of economic growth, supporting the Friedman (1977) hypothesis. (3) Growth uncertainty does not affect the level of economic growth, supporting the Friedman (1968) hypothesis. (4) And finally our empirical evidence shows that growth uncertainty affects the level of inflation, supporting the Deveraux (1989) hypothesis.
This paper assesses the link between central bank's policy rate, inflation rate and output gap through Taylor rule equation in both United States and United Kingdom from 1990 to 2020. Also, it analyses the relationship between monetary policy and asset price volatility using an augmented Taylor rule. According to the literature, there has been a discussion about the utility of using asset prices to evaluate central bank monetary policy decisions. First, I derive the equation coefficients and examine the stability of the relationship over the shocking period. Test the model with actual data to see its robustness. I add asset price to the equation in the next step, and then test the relationship by Normality, Newey-West, and GMM estimator tests. Lastly, I conduct comparison between USA and UK results to find out which country's policy decisions can be explained better through Taylor rule.
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