This paper aims at analysing whether the Central Bank of the Republic of Turkey (CBRT), designing a new monetary policy framework to achieve financial stability in the last quarter of 2010, tries to pursue financial stability by putting price stability on the back burner. To this end, a forward-looking reaction function that is extended with nominal exchange rate gap and nominal domestic credits gap is estimated for the CBRT. The paper first performs unit root and cointegration tests and finds that the variables become stationary at first differences and that there is a cointegration relationship among variables. Then, the paper conducts the Kalman filter to obtain time varying parameters. The findings show that the coefficients of all explanatory variables did not change too much after the new monetary policy framework of the CBRT in the last quarter of 2010. Therefore, this paper asserts that the CBRT continues to pursue price stability as its primary goal and tries to achieve financial stability by using macroprudential tools. Thus this paper concludes that financial stability concerns have not changed the priority of the CBRT.
Fatma Ucar, Gonul Erden, Mine Yavuz Taslipinar, Gulfer Ozturk, Zeynep Ginis, Erdem Bulut and Namik Delibas
Bachground: Sample classification and registration have been recognized as important and time-consuming processes in laboratories. There is increasing pressure on laboratories to automate processes due to intense workload and reduce manual procedures and errors. The aim of the present study was to evaluate the positive effects of an automatic tube registration and sorting system on specimen processing.
Methods: An automatic tube registration and sorting system (HCTS2000 MK2, m-u-t AG, Wedel, Germany) was evaluated. Turnaround time (TAT), rate of sample rejection and unrealized tests were examined 12 months pre- and post-implementation of the automatic tube sorting and registration system.
Results: The mean TAT of routine chemistry immunoassay, complete blood cell count (CBC) and coagulation samples were significantly improved (P<0.001). The number of rejected samples and unrealized tests was insignificantly decreased post-implementation of the system (0.4% to 0.2% and 4.5% to 1.4%, respectively) (P>0.05).
Conclusions: By reducing delays and errors in the preanalytical processing and sorting of samples, significant improvements in specimen processing were observed after implementation of the system. These results suggest that an automatic tube registration and sorting system may also be used to improve specimen processing in a higher-volume core laboratory.