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This book explores the concepts and techniques of IoT, AI, and blockchain. Also discussed is the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book allows both practitioners and researchers to share their opinions and recent research in the convergence of these technologies among academicians and industry people. The contributors present their technical evaluation and compare it with existing technologies. Theoretical explanation and experimental case studies related to real-time scenarios are also included. This book pertains to IT professionals, researchers and academicians working on fourth revolution technologies. Explains how blockchain can significantly increase data privacy and security while boosting accuracy and integrity in IoT generated data and AI processed information; Gives insight into blockchain's numerous potential applications, starting with recent technologies that give users control over sharing and privacy; Shows readers how to employ blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain.

Telecommunication technology --- Mass communications --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- cryptografie --- informatica --- tekstverwerking --- gegevensanalyse --- algoritmen --- KI (kunstmatige intelligentie) --- communicatietechnologie

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• Reference Manager
• EndNote
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Telecommunication technology --- Mass communications --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- cryptografie --- informatica --- tekstverwerking --- gegevensanalyse --- algoritmen --- KI (kunstmatige intelligentie) --- communicatietechnologie

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Since the inception of Medicare Part D in 2006, mergers and acquisitions (M&A) and regulatory changes have led to increased concentration and reduced plan variety in the standalone prescription drug plan (PDP) portion of the market. We examine how this industry consolidation affects Medicare beneficiaries' enrollment in PDPs and their out-of-pocket (OOP) drug expenditures using individual-level data from the 2006-2018 waves of the Health and Retirement Study (HRS) merged with PDP market-level characteristics. Overall, we find that lower plan variety in the PDP market decreases the likelihood that elderly individuals enroll in PDPs, and higher PDP market concentration increases OOP drug expenditures. Our main results are robust to considering possible effects of unobserved individual-level heterogeneity, region-specific time trends, and entry/exit of insurers, as well as to the use of an alternative identification scheme based on a quasi-experimental design. Further, we find that younger, more advantaged, and healthier individuals respond differently to industry consolidation compared to their older, less advantaged, and sicker counterparts. The former groups are more likely to adjust their PDP enrollment in response to reduced PDP variety and have higher OOP drug expenditures in response to increased PDP market concentration compared to the latter groups. Finally, we find that not only do lower PDP variety and greater PDP market concentration directly affect PDP enrollment and OOP drug expenditures, but these changes also affect Medicare beneficiaries indirectly through impacting PDP characteristics.