Report NEP-PAY-2019-05-27

This is the archive for NEP-PAY, a report on new working papers in the area of Payment Systems and Financial Technology. Bernardo Bátiz-Lazo issued this report. It is usually issued weekly.

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Other reports in NEP-PAY

The following items were announced in this report:

• Andrew Clark & Alexander Mihailov, 2019. "Why private cryptocurrencies cannot serve as international reserves but central bank digital currencies can," Economics Discussion Papers em-dp2019-09, Department of Economics, University of Reading.
• David Allessie & Maciej Sobolewski & Lorenzino Vaccari, 2019. "Blockchain for digital government: An assessment of pioneering implementations in public services," JRC Research Reports JRC115049, Joint Research Centre.
• Nordin, Martin & Grenestam , Erik & Gullstrand , Joakim, 2019. "Is Super-Fast Broadband Negative? An IV-Estimation of the Broadband Effect on Firms' Sales and Employment Level," Working Papers 2019:8, Lund University, Department of Economics.
• Hiroshi FUJIKI & Kiyotaka Nakashima, 2019. "Cash Usage Trends in Japan: Evidence Using Aggregate and Household Survey Data," Working Papers e131, Tokyo Center for Economic Research.
• Min Shu & Wei Zhu, 2019. "Real-time Prediction of Bitcoin Bubble Crashes," Papers 1905.09647, arXiv.org, revised Jun 2019.
• Stéphane Blemus & Dominique Guégan, 2019. "Initial Crypto-asset Offerings (ICOs), tokenization and corporate governance," Documents de travail du Centre d'Economie de la Sorbonne 19004, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Lukasz Grzybowski & Maude Hasbi & Julienne Liang, 2018. "Transition from copper to fiber broadband: the role of connection speed and switching costs," Post-Print hal-02102338, HAL.
• Pierre Schweitzer, 2019. "An economic analysis of the music industry and the consequences of digitization on value creation and transfer [L'analyse économique de l'industrie de la musique et les conséquences du numérique su," Post-Print hal-02120215, HAL.
• Evans, Olaniyi, 2019. "The effects of US-China trade war and Trumponomics," MPRA Paper 93682, University Library of Munich, Germany.
• Laszlo Lorincz & Brigitta Nemeth, 2019. "Network Effects in Internal Migration," CERS-IE WORKING PAPERS 1913, Institute of Economics, Centre for Economic and Regional Studies.
• Lihi Dery & Dror Hermel & Artyom Jelnov, 2019. "Cheating in Ranking Systems," Papers 1905.09116, arXiv.org.
• Daron Acemoglu & Pascual Restrepo, 2018. "Demographics and Automation," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-299, Boston University - Department of Economics.
• Asongu, Simplice & Odhiambo, Nicholas, 2019. "The Mobile Phone, Information Sharing and Financial Sector Development in Africa: A Quantile Regressions Approach," MPRA Paper 94011, University Library of Munich, Germany.
• Teodora Marinova, 2019. "Virtual Community Characteristics as Success Factors for Crowdfunding Projects," Bulgarian Economic Papers bep-2019-05, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised May 2019.
• Korishchenko, Konstantin (Корищенко, Константин), 2019. "Theoretical approaches to the release of cryptocurrency by central banks and practical projects for their implementation [Теоретические Подходы К Выпуску Криптовалют Центральными Банками И Практиче," Working Papers 041934, Russian Presidential Academy of National Economy and Public Administration.
• de Kok, Ties, 2019. "Essays on reporting and information processing," Other publications TiSEM 468fd12b-19c0-4c7b-a33a-6, Tilburg University, School of Economics and Management.
• Michael Bailey & Drew M. Johnston & Theresa Kuchler & Johannes Stroebel & Arlene Wong, 2019. "Peer Effects in Product Adoption," NBER Working Papers 25843, National Bureau of Economic Research, Inc.
• Reaz Chowdhury & M. Arifur Rahman & M. Sohel Rahman & M. R. C. Mahdy, 2019. "Predicting and Forecasting the Price of Constituents and Index of Cryptocurrency Using Machine Learning," Papers 1905.08444, arXiv.org.
• Marek Hudon & Marc Labie & Ariane Szafarz, 2019. "A long time ago in a galaxy far, far away… How microfinance evolved and how research followed," Working Papers CEB 19-013, ULB -- Universite Libre de Bruxelles.
• Ströbel, Johannes & Bailey, Michael & Johnston, Drew & Kuchler, Theresa & Wong, Arlene, 2019. "Peer Effects in Product Adoption," CEPR Discussion Papers 13731, C.E.P.R. Discussion Papers.
• Murphy, Daniel, 2019. "Increasing clicks through advanced targeting: Applying the third-party seal model to airline advertising," MPRA Paper 93886, University Library of Munich, Germany.
• Manaa, Mehdi & Chimienti, Maria Teresa & Adachi, Mitsutoshi & Athanassiou, Phoebus & Balteanu, Irina & Calza, Alessandro & Devaney, Conall & Diaz Fernandez, Ester & Eser, Fabian & Ganoulis, Ioannis & , 2019. "Crypto-Assets: Implications for financial stability, monetary policy, and payments and market infrastructures," Occasional Paper Series 223, European Central Bank.
• Zhang, Yinjunjie & Xu, Zhicheng & Palma, Marco, 2018. "Conveniently Dependent or Naively Overconfident? An Experimental Study on the Reaction to External Help," MPRA Paper 93899, University Library of Munich, Germany.
• Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-298, Boston University - Department of Economics.
• Gian Paolo Barbetta & Paolo Canino & Stefano Cima, 2019. "Let’s tweet again? The impact of social networks on literature achievement in high school students: Evidence from a randomized controlled trial," DISCE - Working Papers del Dipartimento di Economia e Finanza def081, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
• Weber, Martin & Laudenbach, Christine & Ungeheuer, Michael, 2019. "How to Alleviate Correlation Neglect," CEPR Discussion Papers 13737, C.E.P.R. Discussion Papers.
• Sudiksha Joshi, 2019. "Time Series Analysis and Forecasting of the US Housing Starts using Econometric and Machine Learning Model," Papers 1905.07848, arXiv.org.
• Gogas, Periklis & Papadimitriou, Theophilos & Plakandaras, Vasilios & Gupta, Rangan, 2019. "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," DUTH Research Papers in Economics 3-2016, Democritus University of Thrace, Department of Economics.
• Heinisch, Dominik & Koenig, Johannes & Otto, Anne, 2019. "The IAB-INCHER project of earned doctorates (IIPED): A supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data," IAB-Discussion Paper 201913, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
• Christopher Kath & Florian Ziel, 2019. "Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets," Papers 1905.07886, arXiv.org, revised Sep 2020.
• Samuel Asante Gyamerah & Philip Ngare & Dennis Ikpe, 2019. "Hedging crop yields against weather uncertainties -- a weather derivative perspective," Papers 1905.07546, arXiv.org, revised Aug 2019.
• Gawlitza, Joshua & Sturm, Timo & Spohrer, Kai & Henzler, Thomas & Akin, Ibrahim & Schönberg, Stefan & Borggrefe, Martin & Haubenreisser, Holger & Trinkmann, Frederik, 2019. "Predicting Pulmonary Function Testing from Quantified Computed Tomography Using Machine Learning Algorithms in Patients with COPD," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113226, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Ludovic Gouden`ege & Andrea Molent & Antonino Zanette, 2019. "Machine Learning for Pricing American Options in High-Dimensional Markovian and non-Markovian models," Papers 1905.09474, arXiv.org, revised Jun 2019.
• Sevak Alaverdyan & Anna Zaharieva, 2019. "Immigration, Social Networks, and Occupational Mismatch," SOEPpapers on Multidisciplinary Panel Data Research 1033, DIW Berlin, The German Socio-Economic Panel (SOEP).