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This paper tries to cast light on the effects of terrorism on some macroeconomic variables at the international level. Using the Generalized Method of Moment (GMM) we investigate the effects of terrorism on such variables as GDP growth, foreign direct investment (FDI) and total factor productivity (TFP) with cross section data of 2005 for a sample of both developed and developing countries. The results suggest that terrorism has adversely and significantly affected economic growth, FDI and TFP around the world. In line with Abadie and Gardeazabal (2007) we find that once the effects of other country-specific characteristics such as country risk, good governance, and restrictions on FDI are taken into account these results are still robust.

Objective (s): Consumption expenses and unemployment can be considered as macroeconomic indicators that affect in health. Therefore, considering the inflationary conditions and its fluctuation which leads to uncertainty in the economy, the purpose of this study was to investigate the effects of inflation fluctuation on consumption and unemployment as key indicators in public's health. Methods: In this study, the fluctuation and uncertainty of inflation was estimated using Stochastic Differential Equation (SDE). For surveying the shocks of inflation fluctuation on consumption and unemployment, the impulse respond (IR) that is so useful in structural Vector Auto Regressive (SVAR) models were used. The source of quarterly data was Statistical Center of Iran (S.C.I) from 2001 to 2020. Results: The results indicated the fluctuation of inflation was effective and meaningful on unemployment by 0.04 and consumption by (-0073). Conclusion:Based on these two indicators, it can be concluded that inflation fluctuation reduces health in the community.

In this article, we test the forecasting performance of empirical exchange rate models to assess in-and out-of-sample fits. The recent U.S. economic downturn has induced the Federal Reserve to decrease the federal fund rate (FFR) regularly, which has further weakened the dollar against major currencies, particularly the euro. To overcome the economic recession, the European Central Bank has also followed this trend by lowering the Euribor. Therefore, the parity power of these two currencies is basically affected by the reaction of European Central Bank against the Federal Reserve. By using the generalized method of moments (GMM), we attempt to predict the behavior of the euro-dollar exchange rates according to various empirical models. Based on different criteria which includes the root mean squared error (RMSE), the mean absolute error (MAE), the Theil coefficient, and variance proportion, our results suggest that the interest rate parity model can predict the euro-dollar exchange rate more accurately than other structural models including a random walk, which alters the results of Meese and Rogoffs work.

and post-doctoral training in Pharmacology and Cell Biophysics from the University of Cincinnati. His first faculty appointment was at UC's Department of Radiology. He joined FIU in 1999 and was instrumental in the development of the academic programs in Biomedical Engineering (BME). He led the design and implementation of the B.S. in B.M.E. program in 2002, its initial ABET accreditation in 2005, re-accreditation in 2008. He served as the founding advisor for the student chapters of the Biomedical Engineering Society (B.M.E.S.) and the Alpha Eta Mu Beta (A.E.M.B.) Biomedical Engineering Honor society. In 2010 he was elected National president of AEMB. He served as the interim chair of BME from 2007 to 2010. The primary focus of Dr.McGoron's research is drug delivery and molecular imaging, primarily for cancer, and specifically the development of multimodal drugs that simultaneously image and provide therapy. Efforts include the development of tissue or cell specific contrast agents and probes (both optical and radioactive) for noninvasive molecular imaging of cellular and tissue characterization, for monitoring toxicity, for tracking the biodistribution of known toxins and drugs, and image guided therapy. Dr. McGoron is also developing tools for automatic segmentation and registration of organs and tumors to accurately determine tumor functional and anatomical volumes which is required for accurate dosimetry calculations for image guided therapy and Selective Internal Radiation Therapy (SIRT) planning.