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Report NEP-BIG-2022-04-11
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:
- Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022, "Time and the Value of Data," Papers, arXiv.org, number 2203.09118, Mar.
- James Chapman & Ajit Desai, 2022, "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers, Bank of Canada, number 22-10, Mar, DOI: 10.34989/swp-2022-10.
- Antoine Didisheim & Bryan T. Kelly & Semyon Malamud, 2022, "Deep Regression Ensembles," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-20, Mar.
- Item repec:cam:camjip:2209 is not listed on IDEAS anymore
- Eugenia Go & Kentaro Nakajima & Yasuyuki Sawada & Kiyoshi Taniguchi, 2022, "On the Use of Satellite-Based Vehicle Flows Data to Assess Local Economic Activity: The Case of Philippine Cities," ADB Economics Working Paper Series, Asian Development Bank, number 652, Mar.
- Pim Pinitjitsamut & Wisarut Suwanprasert, 2022, "Informal Loans in Thailand: Stylized Facts and Empirical Analysis," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 173, Feb.
- Kathrin Hellmuth & Christian Klingenberg, 2022, "Computing Black Scholes with Uncertain Volatility-A Machine Learning Approach," Papers, arXiv.org, number 2202.07378, Feb.
- Afc{s}ar Onat Ayd{i}nhan & Xiaoyue Li & John M. Mulvey, 2022, "Solving Multi-Period Financial Planning Models: Combining Monte Carlo Tree Search and Neural Networks," Papers, arXiv.org, number 2202.07734, Feb, revised May 2022.
- Martino Banchio & Andrzej Skrzypacz, 2022, "Artificial Intelligence and Auction Design," Papers, arXiv.org, number 2202.05947, Feb.
- Martino Banchio & Giacomo Mantegazza, 2022, "Artificial Intelligence and Spontaneous Collusion," Papers, arXiv.org, number 2202.05946, Feb, revised Sep 2023.
- Rammer, Christian & Es-Sadki, Nordine, 2022, "Using big data for generating firm-level innovation indicators: A literature review," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 22-007.
- Philine Widmer & Cl'ementine Abed Meraim & Sergio Galletta & Elliott Ash, 2022, "Media Slant is Contagious," Papers, arXiv.org, number 2202.07269, Feb, revised Feb 2025.
- April Yanyuan Wu & Denise Hoffman & Paul O'Leary & Dara Lee Luca, 2022, "Employment Outcomes for Social Security Disability Insurance Applicants Who Use Opioids," Working Papers, Center for Retirement Research at Boston College, Center for Retirement Research, number wp2022-01, Feb.
- Paola Mallia, 2022, "You reap what (you think) you sow? Evidence on farmers’behavioral adjustments in the case of correct crop varietal identification," PSE Working Papers, HAL, number hal-03597332, Jul.
- Abbasi, Ali & Gazze, Ludovica & Pals, Bridget, 2022, "Hidden hazards and Screening Policy : Predicting Undetected Lead Exposure in Illinois Using Machine Learning," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1398.
- Yoko KONISHI & Takashi SAITO & Hajime KANAI & Naoya IGEI & Junichi MIZUMURA & Kyoko SHIGA & Keita SUEYASU & Ryosuke HAMAGUCHI, 2022, "Change from the COVID-19 pandemic to a New Normal: Two Years of Documenting Consumption Behavior with Big Data (Japanese)," Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 22006, Mar.