Inflation and Inflation uncertainty: A dynamic framework

Cataloged from PDF version of article.This paper aims to investigate the direct relationship between inflation and inflation uncertainty by employing a dynamic method for the monthly country-region-place United States data for the time period 1976-2007. While the bulk of previous studies has employed (ARCH models in investigating the link between inflation and inflation uncertainty, in this study Stochastic Volatility in Mean models are used to capture the shocks to inflation uncertainty within a dynamic framework. These models allow researchers to assess the dynamic effects of innovations in inflation as well as inflation volatility on inflation and inflation volatility over time, by incorporating the unobserved volatility as an explanatory variable in the mean (inflation) equation. Empirical findings suggest that innovations in inflation volatility increases inflation. This evidence is robust across various definitions of inflation and different sub-periods. (C) 2012 Elsevier B.V. All rights reserved

Turkish Monetary Policy and Components of Aggregate Demand: A VAR Analysis with Sign Restrictions Model

Cataloged from PDF version of article.This article estimates the effects of monetary policy on components of aggregate demand using quarterly data on Turkish economy from 1987-2008 by means of structural Vector Autoregression (VAR) methodology. This study adopts Uhlig's (2005) sign restrictions on the impulse responses of main macroeconomic variables to identify monetary shock. This study finds that expansionary monetary policy stimulates output through consumption and investment in the short-run. However, expansionary monetary policy is ineffective in the long-run

The day-of-the-week effect on stock-market volatility and return: Evidence from emerging markets

This study investigates day-of-the-week (DOW) anomalies in the stock markets of twenty emerging economies. The authors use a modified exponential generalized autoregressive conditional heteroskedasticity in-mean (EGARCH-M) modeling strategy that allows for the simultaneous examination of DOW effects on market return and variability. The effects on both are limited in the authors' sample. To summarize, DOW effects are present in market returns for only three countries, in market volatility for only five countries, and they are present in both for only one country, when the estimates are evaluated at the 1 percent significance level. Despite this, at lower levels of significance the common qualitative patterns in the estimates are extracted such that the higher returns are concentrated around Fridays, whereas volatility is highest on Mondays and lowest on Tuesdays and Fridays

Kikuchi — Fujimoto disease: cervical lymphadenopathy suggestive of relapsing lymphoma in patient with lymphoblastic lymphoma

Aim: Kikuchi — Fujimoto disease (KFD) or histiocytic necrotizing lymphadenitis is a rare disorder and often confused with lymphoma. Patient: There is presented a case of 28-year-old patient with cervical lymphadenopathy, who had history of lymphoma. Results: On immunohistopathologic examination diagnosis of KFD was made and patient followed without any treatment. Conclusion: Patient’s lymphadenopathy had almost resolved and he was completely asymptomatic after three months. In patient with cervical lymphadenopathy KFD should be considered in the differential diagnosis

The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework

This paper investigates the effect of inflation uncertainty innovations on inflation over time by considering the monthly United States data for the time period 1976-2006. In order to investigate the effect of inflation uncertainty innovation on inflation, a Stochastic Volatility in Mean model (SVM) has been employed. SVM models are generally used to capture the innovation to inflation uncertainty, which cannot be achieved in the framework of popular deterministic ARCH type of models. Empirical evidence provided here suggests that innovations in inflation volatility increases inflation persistently. This evidence is robust across various definitions of inflation and different sub-periods. © 2009 Elsevier B.V. All rights reserved

Daily antibiotic cost of nosocomial infections in a Turkish university hospital

BACKGROUND: Many studies associated nosocomial infections with increased hospital costs due to extra days in hospital, staff time, extra investigations and drug treatment. The cost of antibiotic treatment for these infections represents a significant part of hospital expenditure. This prospective observational study was designed to determine the daily antibiotic cost of nosocomial infections per infected adult patient in Akdeniz University Hospital. METHODS: All adult patients admitted to the ICUs between January 1, 2000, and June 30, 2003 who had only one nosocomial infection during their stay were included in the study. Infection sites and pathogens, antimicrobial treatment of patient and it's cost were recorded. Daily antibiotic costs were calculated per infected patient. RESULTS: Among the 8460 study patients, 817 (16.6%) developed 1407 episodes of nosocomial infection. Two hundred thirty three (2.7%) presented with only one nosocomial infection. Mean daily antibiotic cost was $89.64. Daily antibiotic cost was$99.02 for pneumonia, $94.32 for bloodstream infection,$94.31 for surgical site infection, $52.37 for urinary tract infection, and$162.35 for the other infections per patient. The treatment of Pseudomonas aeruginosa infections was the most expensive infection treated. Piperacillin-tazobactam and amikacin were the most prescribed antibiotics, and meropenem was the most expensive drug for treatment of the nosocomial infections in the ICU. CONCLUSIONS: Daily antibiotic cost of nosocomial infections is an important part of extra costs that should be reduced providing rational antibiotic usage in hospitals

Higher-order optical resonance node detection of integrated disk microresonator

We have demonstrated higher-order optical resonance node detection by using an integrated disk microresonator from through port of the coupling bus waveguide. In addition to the fundamental mode, the disk resonator has higher-order whispering gallery modes. The excited second-order higher-order mode has a node at the position where the electromagnetic energy of the fundamental mode is close to a maximum. This high resolution measurement of optical resonance mode profile has a variety of applications for optical sensing and detection. The self-referencing characteristics of the two optical resonance modes have potential to achieve optical detection independent of external perturbation, such as temperature change

Type I necrotising fasciitis of heel in a diabetic patient

Necrotising fasciitis is a potentially fatal clinical disease caused by infection with various bacteria. Diabetes mellitus, one of the predisposing factors for necrotising fasciitis is also an important factor in the progression of the illness by increasing its morbidity and mortality rate. In this case report, a 54 year old diabetic woman with type-I necrotising fasciitis of the heel was treated with extensive debridments, broad spectrum antimicrobial therapy and intensive regulation of blood glucose levels. The resulting new positive data pertaining to the morbidity and mortality of this severe disease suggest that the old management of this disease should be re- examined