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Report NEP-BIG-2021-11-22
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021, "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 21/074, Jan.
- Hofer, Florian & Birkner, Benjamin & Spindler, Martin, 2021, "Power of machine learning algorithms for predicting dropouts from a German telemonitoring program using standardized claims data," hche Research Papers, University of Hamburg, Hamburg Center for Health Economics (hche), number 24.
- Pratha Khandelwal & Philip Nadler & Rossella Arcucci & William Knottenbelt & Yi-Ke Guo, 2021, "A Scalable Inference Method For Large Dynamic Economic Systems," Papers, arXiv.org, number 2110.14346, Oct.
- Zhang, Hongwei, 2021, "Empirical asset pricing and ensemble machine learning," Other publications TiSEM, Tilburg University, School of Economics and Management, number 15134355-ab64-47b0-b581-5.
- Talia Gillis & Bryce McLaughlin & Jann Spiess, 2021, "On the Fairness of Machine-Assisted Human Decisions," Papers, arXiv.org, number 2110.15310, Oct, revised Sep 2023.
- SJ, Balaji & Babu, Suresh Chandra & Pal, Suresh, 2021, "Understanding Science and Policy Making in Agriculture: A Machine Learning Application for India," 2021 Conference, August 17-31, 2021, Virtual, International Association of Agricultural Economists, number 315227, Aug, DOI: 10.22004/ag.econ.315227.
- Denisa BANULESCU-RADU & Meryem YANKOL-SCHALCK, 2021, "Fraud detection in the era of Machine Learning: a household insurance case," LEO Working Papers / DR LEO, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans, number 2904.
- Anirban Basu & Noah Hammarlund & Sara Khor & Aasthaa Bansal, 2021, "Understanding Algorithmic Discrimination in Health Economics Through the Lens of Measurement Errors," NBER Working Papers, National Bureau of Economic Research, Inc, number 29413, Oct.
- Leonardo N. Ferreira, 2021, "Forecasting with VAR-teXt and DFM-teXt Models:exploring the predictive power of central bank communication," Working Papers Series, Central Bank of Brazil, Research Department, number 559, Nov.
- Mohamed Ben Alaya & Ahmed Kebaier & Djibril Sarr, 2021, "Deep Calibration of Interest Rates Model," Papers, arXiv.org, number 2110.15133, Oct, revised Sep 2024.
- Werner, Tobias, 2021, "Algorithmic and human collusion," DICE Discussion Papers, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE), number 372.
- Shi, Chengchun & Xu, Tianlin & Bergsma, Wicher & Li, Lexin, 2021, "Double generative adversarial networks for conditional independence testing," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 112550, Dec.
- Yuhei Miyauchi & Kentaro Nakajima & Stephen J. Redding, 2021, "Consumption Access and Agglomeration: Evidence from Smartphone Data," Working Papers, Princeton University, Department of Economics, Center for Economic Policy Studies., number 287, Jun.
- Fantazzini, Dean & Calabrese, Raffaella, 2021, "Crypto-exchanges and Credit Risk: Modelling and Forecasting the Probability of Closure," MPRA Paper, University Library of Munich, Germany, number 110391.
- M. Eren Akbiyik & Mert Erkul & Killian Kaempf & Vaiva Vasiliauskaite & Nino Antulov-Fantulin, 2021, "Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data," Papers, arXiv.org, number 2110.14317, Oct, revised Dec 2022.
- Fantazzini, Dean & Pushchelenko, Julia & Mironenkov, Alexey & Kurbatskii, Alexey, 2021, "Forecasting internal migration in Russia using Google Trends: Evidence from Moscow and Saint Petersburg," MPRA Paper, University Library of Munich, Germany, number 110452.
- Budzinski, Oliver & Mendelsohn, Juliane, 2021, "Regulating big tech: From competition policy to sector regulation?," Ilmenau Economics Discussion Papers, Ilmenau University of Technology, Institute of Economics, number 154.
- Martina Iori & Arianna Martinelli & Andrea Mina, 2021, "The direction of technical change in AI and the trajectory effects of government funding," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2021/41, Nov.
- Mr. Serkan Arslanalp & Mr. Robin Koepke & Jasper Verschuur, 2021, "Tracking Trade from Space: An Application to Pacific Island Countries," IMF Working Papers, International Monetary Fund, number 2021/225, Aug.
- Samuel Nursamsu & Wisnu Harto Adiwijoyo & Anissa Rahmawati, 2021, "Education for All? Assessing the Impact of Socio-economic Disparity on Learning Engagement During the COVID-19 Pandemic in Indonesia," Working Papers, Economic Research Institute for ASEAN and East Asia (ERIA), number DP-2021-41, Nov.
- Mounu Prem & Juan Vargas & Miguel E. Purroy, 2021, "Landmines: The Local Effects of Demining," Empirical Studies of Conflict Project (ESOC) Working Papers, Empirical Studies of Conflict Project, number 28, Nov.
- P. Rovelli & C. Benedetti & A. Fronzetti Colladon & A. De Massis, 2021, "As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity," Papers, arXiv.org, number 2110.13815, Oct.