Report NEP-BIG-2021-11-15

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Sandro Provenzano & Hannah Bull, 2021. "The Local Economic Impact of Mineral Mining in Africa: Evidence from Four Decades of Satellite Imagery," Papers 2111.05783, arXiv.org, revised Jun 2023.
• Paul Hubert & Fabien Labondance, 2020. "Central Bank Tone and the Dispersion of Views within Monetary Policy Committees," Working Papers hal-03403074, HAL.
• Julie Lassébie & Luca Marcolin & Marieke Vandeweyer & Benjamin Vignal, 2021. "Speaking the same language: A machine learning approach to classify skills in Burning Glass Technologies data," OECD Social, Employment and Migration Working Papers 263, OECD Publishing.
• Zhanxue Gong & Xiyuan Li & Jiawen Liu & Yeming Gong, 2019. "Machine learning in explaining nonprofit organizations’ participation : a driving factors analysis approach," Post-Print hal-02880932, HAL.
• Item repec:hok:dpaper:361 is not listed on IDEAS anymore

• Hasanbasri, Ardina & Koolwal, Gayatri & Kilic, Talip & Moylan, Heather, 2021. "Multidimensionality of Land Ownership Among Men and Women in Sub-Saharan Africa," 2021 Conference, August 17-31, 2021, Virtual 315317, International Association of Agricultural Economists.
• Gillmann, Niels & Kim, Alisa, 2021. "Quantification of Economic Uncertainty: a deep learning approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242421, Verein für Socialpolitik / German Economic Association.
• Jie Chen & Lingfei Li, 2021. "Data-driven Hedging of Stock Index Options via Deep Learning," Papers 2111.03477, arXiv.org.
• Damian Kisiel & Denise Gorse, 2021. "A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection," Papers 2111.05935, arXiv.org.
• John M. Abowd & Joelle Abramowitz & Margaret C. Levenstein & Kristin McCue & Dhiren Patki & Trivellore Raghunathan & Ann M. Rodgers & Matthew D. Shapiro & Nada Wasi & Dawn Zinsser, 2021. "Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning," Working Papers 21-35, Center for Economic Studies, U.S. Census Bureau.
• Sofia Samoili & Montserrat Lopez Cobo & Blagoj Delipetrev & Fernando Martinez-Plumed & Emilia Gomez & Giuditta De Prato, 2021. "AI Watch. Defining Artificial Intelligence 2.0. Towards an operational definition and taxonomy of AI for the AI landscape," JRC Research Reports JRC126426, Joint Research Centre.
• RIGHI Riccardo & LOPEZ COBO Montserrat & SAMOILI Sofia & CARDONA Melisande & VAZQUEZ-PRADA BAILLET Miguel & DE PRATO Giuditta, 2021. "EU in the global Artificial Intelligence landscape," JRC Research Reports JRC125613, Joint Research Centre.
• Philippe Aghion & Céline Antonin & Simon Bunel, 2019. "Intelligence artificielle, croissance et emploi : le rôle des politiques," Post-Print hal-03384667, HAL.
• Alessandro Bitetto & Stefano Filomeni & Michele Modina, 2021. "Understanding corporate default using Random Forest: The role of accounting and market information," DEM Working Papers Series 205, University of Pavia, Department of Economics and Management.
• Kajal Lahiri & Cheng Yang, 2021. "Boosting Tax Revenues with Mixed-Frequency Data in the Aftermath of Covid-19: The Case of New York," CESifo Working Paper Series 9365, CESifo.
• Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2021. "The Broadband Penetration in Europe," MPRA Paper 110457, University Library of Munich, Germany.
• Jennifer Elena Feichtmayer & Klaus Gründler, 2021. "Global Evidence on Misperceptions and Preferences for Redistribution," CESifo Working Paper Series 9381, CESifo.
• Xiaofei Shi & Daran Xu & Zhanhao Zhang, 2021. "Deep Learning Algorithms for Hedging with Frictions," Papers 2111.01931, arXiv.org, revised Dec 2022.
• Yuga Iguchi & Riu Naito & Yusuke Okano & Akihiko Takahashi & Toshihiro Yamada, 2021. "Deep Asymptotic Expansion: Application to Financial Mathematics," CIRJE F-Series CIRJE-F-1178, CIRJE, Faculty of Economics, University of Tokyo.
• Yuga Iguchi & Riu Naito & Yusuke Okano & Akihiko Takahashi & Toshihiro Yamada, 2021. "Deep Asymptotic Expansion: Application to Financial Mathematics（forthcoming in proceedings of IEEE CSDE 2021)," CARF F-Series CARF-F-523, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
• Raphael Ntentas, 2021. "Quantifying Political Populism and Examining the Link with Economic Insecurity: evidence from Greece," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 165, Hellenic Observatory, LSE.
• Gregor Dorfleitner & Lars Hornuf & Julia Kreppmeier, 2021. "Promise not Fulfilled: FinTech Data Privacy, and the GDPR," CESifo Working Paper Series 9359, CESifo.
• Kim, Jeong Gon & Na, Seung Kwon & Lee, Jaeho & Yun, ChiHyun & Kim, Eunmi, 2021. "Digital Platform Markets of ASEAN and India: Implications for Cooperation with Korea," World Economy Brief 21-33, Korea Institute for International Economic Policy.
• Nicolaj S{o}ndergaard Muhlbach, 2021. "occ2vec: A principal approach to representing occupations using natural language processing," Papers 2111.02528, arXiv.org, revised Jul 2022.
• USUKI Teppei & KONDO Satoshi & SHIRAKI Kengo & MASADA Takahiro & SUZAKI Kosuke & MIYAKAWA Daisuke, 2021. "Using Sparse Modeling to Detect Accounting Fraud (Japanese)," Discussion Papers (Japanese) 21049, Research Institute of Economy, Trade and Industry (RIETI).
• Munday, Tim & Brookes, James, 2021. "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers 944, Bank of England.