Ekonomi Bölümü Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1936
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Book Part Precarious Work and Individual Deprivation During the Post-COVID Era: Lessons From Turkey(Edward Elgar Publishing Ltd., 2025-05-13) Kinikoğlu, C.N.; Karahasan, B.C.Book Part Citation - Scopus: 2New Money: Central Bank Digital Currencies(Peter Lang AG, 2019) Karamollaoğlu, Nazlı; Tuncay, BernaPayment systems have been evolving along with technological advancements in the last couple decades. The introduction of different forms of electronic banking, the advance of Internet banking services, and advances in mobile phone and mobile payment technology have reduced the use of physical currency. Additionally, the first mover cryptocurrencies, bitcoin and its various alternatives (e.g., Ether, Litecoin), have been expanding their footprints, despite the volatility of their prices and the issues with their capability. These developments pose both opportunities and threats for Central Banks, particularly in the formulation of monetary policy and regulation of payment systems. Increased adoption of cryptocurrencies for payment transactions could undermine central banks' monetary policy missions as their policy power over the money in circulation would weaken. Weakened monetary policy control on the central bank side would risk financial stability. On the other hand, cryptocurrencies may also have positive impacts on the economy through various channels such as cost and time driven payment market efficiencies, financial inclusion, cashless society, and smaller informal sector. A central bank digital currency (CBDC) may have various characteristics related to its store of value, availability, settlement time, wallet and transaction limits, extent of use, being interest bearing or not and level of anonymity. While each characteristic has its own pros and cons, decisions on the CBDC characteristics need to be made by taking into account the country's circumstances, priorities, and ultimate policy objectives. © Peter Lang GmbH Internationaler Verlag der Wissenschaften Berlin 2019. All rights reserved.Book Part Mathematics for Social Sciences(Emerald Group Publishing Limited, 2016) Öztürk, MuratAll students enrolled in Business and Economics programs receive basic tarining in quantative methods used in subject that required mathematics and statistics.Article Book Part Fayda, Sosyal Seçim ve Mutluluk. Kitap Bölümü(İmge Kitabevi Yayınları, 2015) Gökdemir, Özge; Öztürk, Murat...Conference Object Conference Object Long-Term Increased Inpatient and Outpatient Visits Associated With Cardiovascular Events: a Large United States Real World Study(2015) Fox, Kathleen M; Wang, L; Quek, RGW; Gandra, SR; Li, L; Başer, OnurConference Object Mortality and Prevalence of Major Depressive Disorder in the Us Medicare Population From 2008-2013(2016) Bashyal, R; Du, H; Wang, L; Yuce, H; Başer, Onur...Conference Object Assessing the Economic Burden and Health Care Utilization of Attention Deficit/Hyperactivity Disorder Among Us Medicaid Patients(2016) Zhang Q; Zhao, Y; Keshishian, A; Xie, L; Yuce, H; Başer, Onur...Conference Object Evaluation of the Burden of Parkinson’s Disease in Medicare and Linked Long Term Care Populations(2015) Xie, L; Tan, H; Ogbomo, A; Wang, Y; Başer, Onur; Yuce H.Objectives: To examine the economic burden and health care utilization forpatients diagnosed with Parkinson’s disease using linked data from Medicare andthe Long Term Care (LTC) Minimum Data Set (MDS). Methods: Patients wereincluded in the study if they had at least one diagnosis claim for Parkinson’s disease(International Classification of Diseases, 9thRevision, Clinical Modification code 332.xx) during the identification period (01JUL2008-31DEC2010). The first Parkinson’s disease diagnosis claim date was designated as the index date. Patients were requiredto be age ?65 and have continuous health plan enrollment with medical benefitsfor 6 months pre- and post-index date. Residents in a LTC facility were defined asstudy patients using two quarterly assessments recorded in the MDS during the6-month baseline period. Demographic and clinical characteristics and follow-uphealth care costs and utilizations were described. Results: After 1:1 matching,1,620 patients were included in each group (disease and control patients), and thebaseline characteristics were well-balanced. Patients with Parkinson’s diseasewere more likely to have inpatient stays (14.26% vs. 9.51%, p<0.0001), outpatientvisits (47.72% vs. 41.11%, p=0.0002), skilled nursing facility (SNF) visits (20.37% vs.4.51%, p<0.0001), hospice visits (8.64% vs. 1.36%, p<0.0001), and part D pharmacyvisit (62.65% vs. 53.33%, p<0.0001). Compared to control patients, higher all-causehealth care costs were also observed for Parkinson’s disease patients, includinginpatient costs ($2,451 vs. $1,301, p<0.0001), SNF costs ($2,503 vs. $778, p<0.0001),hospice costs ($1,164 vs. $245, p<0.0001), total outpatient costs ($4,477 vs. $1,304,p<0.0001), pharmacy costs ($695 vs. $1,399, p<0.0001) and total costs ($9,775 vs.$5,314, p<0.0001). Conclusions: During a period of 12 months, patients diagnosed with Parkinson’s disease had higher health care utilization and costs thanmatched control patients.