Printed from https://ideas.repec.org/n/nep-big/2019-10-14.html
Report NEP-BIG-2019-10-14
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:
- Maliar, Serguei & Winant, Pablo, 2019, "Will Artificial Intelligence Replace Computational Economists Any Time Soon?," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14024, Sep.
- Lepetyuk, Vadym & Maliar, Serguei, 2019, "When the U.S. catches a cold, Canada sneezes: a lower-bound tale told by deep learning," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14025, Sep.
- Nwaobi, Godwin, 2019, "Emerging African Economies:Digital Structures, Disruptive Responses and Demographic Implications," MPRA Paper, University Library of Munich, Germany, number 96317, Oct.
- Alexis Bogroff & Dominique Guégan, 2019, "Artificial Intelligence, Data, Ethics: An Holistic Approach for Risks and Regulation," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 19012, Jun.
- Thomas Philippon, 2019, "On Fintech and Financial Inclusion," NBER Working Papers, National Bureau of Economic Research, Inc, number 26330, Sep.
- Feras Batarseh & Munisamy Gopinath & Ganesh Nalluru & Jayson Beckman, 2019, "Application of Machine Learning in Forecasting International Trade Trends," Papers, arXiv.org, number 1910.03112, Oct.
- Wei Chen & Karen Xie & Jianwei Liu & Yong Liu, 2019, "How Incumbents Beat Disruptors? Evidence from Hotels’ Responses to Home-sharing Rivals," Working Papers, NET Institute, number 19-11, Sep.
- Thomas Cook, 2019, "Macroeconomic Indicator Forecasting with Deep Neural Networks," 2019 Meeting Papers, Society for Economic Dynamics, number 402.
- S Saavedra & M Romero, 2019, "Local Incentives and National Tax Evasion: Unintended Effects of a Mining Royalties Reform in Colombia," Documentos de Trabajo, Universidad del Rosario, number 17529, Oct.
- Eduardo Lora, 2019, "Forecasting Formal Employment in Cities," CID Working Papers, Center for International Development at Harvard University, number 114a, Jul.
- Item repec:imf:imfwpa:19/210 is not listed on IDEAS anymore
- Masayuki MORIKAWA, 2019, "Use of AI and Its Impact on Business: Updated Evidence from a Firm Survey (Japanese)," Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 19045, Aug.
- Fernández-Villaverde, Jesús & Hurtado, Samuel & Nuño, Galo, 2019, "Financial Frictions and the Wealth Distribution," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14002, Sep.
- Aula, Ville, 2019, "Institutions, infrastructures, and data friction – reforming secondary use of health data in Finland," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 101454, Sep.
- Milan Straka & Pasquale De Falco & Gabriella Ferruzzi & Daniela Proto & Gijs van der Poel & Shahab Khormali & v{L}ubov{s} Buzna, 2019, "Predicting popularity of EV charging infrastructure from GIS data," Papers, arXiv.org, number 1910.02498, Oct.
- Cummins, Neil, 2019, "Where is the middle class? Inequality, gender and the shape of the upper tail from 60 million English death and probate records, 1892-2016," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 101869, Feb.
- Ruderman, Anne Elizabeth & Heller, Mark & Xue, Harry, 2019, "Royal African company networks," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 101030.
- Kashif Yousuf & Serena Ng, 2019, "Boosting High Dimensional Predictive Regressions with Time Varying Parameters," Papers, arXiv.org, number 1910.03109, Oct.
- Cummins, Neil, 2019, "Hidden Wealth," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14020, Sep.