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 (Tom Coupe) 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, arXiv.org, number 2111.05783, Nov, revised Jun 2023.
• Paul Hubert & Fabien Labondance, 2020, "Central Bank Tone and the Dispersion of Views within Monetary Policy Committees," Working Papers, HAL, number hal-03403074, Jan.
• 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, OECD Publishing, number 263, Nov, DOI: 10.1787/adb03746-en.
• Zhanxue Gong & Xiyuan Li & Jiawen Liu & Yeming Gong, 2019, "Machine learning in explaining nonprofit organizations’ participation : a driving factors analysis approach," Post-Print, HAL, number hal-02880932, Dec, DOI: 10.1007/s00521-018-3858-6.
• Rasolomanana, Onjaniaina Mianin'Harizo, 2021, "Ensemble Neural Network Using A Small Dataset For The Prediction Of Bankruptcy : Combining Numerical And Textual Data," Discussion paper series. A, Graduate School of Economics and Business Administration, Hokkaido University, number 361, Oct.
• 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, International Association of Agricultural Economists, number 315317, Aug, DOI: 10.22004/ag.econ.315317.
• Gillmann, Niels & Kim, Alisa, 2021, "Quantification of Economic Uncertainty: a deep learning approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics, Verein für Socialpolitik / German Economic Association, number 242421.
• Jie Chen & Lingfei Li, 2021, "Data-driven Hedging of Stock Index Options via Deep Learning," Papers, arXiv.org, number 2111.03477, Nov.
• Damian Kisiel & Denise Gorse, 2021, "A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection," Papers, arXiv.org, number 2111.05935, Nov.
• 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, Center for Economic Studies, U.S. Census Bureau, number 21-35, Nov.
• 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, Joint Research Centre, number JRC126426, Oct.
• 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, Joint Research Centre, number JRC125613, Nov.
• Philippe Aghion & Céline Antonin & Simon Bunel, 2019, "Intelligence artificielle, croissance et emploi : le rôle des politiques," Post-Print, HAL, number hal-03384667, Dec, DOI: 10.24187/ecostat.2019.510t.1994.
• Alessandro Bitetto & Stefano Filomeni & Michele Modina, 2021, "Understanding corporate default using Random Forest: The role of accounting and market information," DEM Working Papers Series, University of Pavia, Department of Economics and Management, number 205, Oct.
• 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, CESifo, number 9365.
• Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2021, "The Broadband Penetration in Europe," MPRA Paper, University Library of Munich, Germany, number 110457, Oct.
• Jennifer Elena Feichtmayer & Klaus Gründler, 2021, "Global Evidence on Misperceptions and Preferences for Redistribution," CESifo Working Paper Series, CESifo, number 9381.
• Xiaofei Shi & Daran Xu & Zhanhao Zhang, 2021, "Deep Learning Algorithms for Hedging with Frictions," Papers, arXiv.org, number 2111.01931, Nov, 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, Faculty of Economics, University of Tokyo, number CIRJE-F-1178, Nov.
• 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, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-523, Nov.
• 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, Hellenic Observatory, LSE, number 165, Nov.
• Gregor Dorfleitner & Lars Hornuf & Julia Kreppmeier, 2021, "Promise not Fulfilled: FinTech Data Privacy, and the GDPR," CESifo Working Paper Series, CESifo, number 9359.
• Jeong Gon Kim & Seung Kwon Na & Jaeho Lee & ChiHyun Yun & Eunmi Kim, 2021, "Digital Platform Markets of ASEAN and India: Implications for Cooperation with Korea," World Economy Brief, Korea Institute for International Economic Policy, number 21-33, Jun.
• Nicolaj S{o}ndergaard Muhlbach, 2021, "occ2vec: A principal approach to representing occupations using natural language processing," Papers, arXiv.org, number 2111.02528, Nov, revised Jul 2022.
• Teppei USUKI & Satoshi KONDO & Kengo SHIRAKI & Takahiro MASADA & Kosuke SUZAKI & Daisuke MIYAKAWA, 2021, "Using Sparse Modeling to Detect Accounting Fraud (Japanese)," Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 21049, Oct.
• Tim Munday & James Brookes, 2021, "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers, Bank of England, number 944, Oct.

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 (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: