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Report NEP-BIG-2023-07-24
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:
- Hanemaaijer, Kyra & Marie, Olivier & Musumeci, Marco, 2023, "The Fast and the Studious? Ramadan Observance and Student Performance," IZA Discussion Papers, IZA Network @ LISER, number 16249, Jun.
- Wassim Le Lann & Gauthier Delozière & Yann Le Lann, 2023, "Greenwashing the Talents: attracting human capital through environmental pledges," Sciences Po Economics Publications (main), HAL, number hal-04140191, Jun.
- Item repec:ags:aaea22:335521 is not listed on IDEAS anymore
- Evelina Gavrilova & Audun Langørgen & Floris T. Zoutman & Floris Zoutman, 2023, "Difference-in-Difference Causal Forests, with an Application to Payroll Tax Incidence in Norway," CESifo Working Paper Series, CESifo, number 10532.
- Thibault Collin, 2023, "Using Deep Learning to Hedge Rainbow Options," Working Papers, HAL, number hal-04060013, Jun.
- Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023, "Deep Neural Network Estimation in Panel Data Models," Working Papers, Federal Reserve Bank of Cleveland, number 23-15, Jul, DOI: 10.26509/frbc-wp-202315.
- Xinli Yu & Zheng Chen & Yuan Ling & Shujing Dong & Zongyi Liu & Yanbin Lu, 2023, "Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting," Papers, arXiv.org, number 2306.11025, Jun.
- Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023, "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series, Bank of Russia, number wps115, Jul.
- Kai Feng & Han Hong & Ke Tang & Jingyuan Wang, 2023, "Statistical Tests for Replacing Human Decision Makers with Algorithms," Papers, arXiv.org, number 2306.11689, Jun, revised Dec 2024.
- Gavrilova, Evelina & Langørgen, Audun & Zoutman, Floris T., 2023, "Dynamic Causal Forests, with an Application to Payroll Tax Incidence in Norway," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2023/9, Jun.
- Cassidy K. Buhler & Hande Y. Benson, 2023, "Efficient Solution of Portfolio Optimization Problems via Dimension Reduction and Sparsification," Papers, arXiv.org, number 2306.12639, Jun.
- Marc-André Gosselin & Temel Taskin, 2023, "What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?," Discussion Papers, Bank of Canada, number 2023-13, Jun, DOI: 10.34989/sdp-2023-13.
- Carlo Drago & Loris Di Nallo & Maria Lucetta Russotto, 2023, "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," Working Papers, Fondazione Eni Enrico Mattei, number 2023.13, Jun.
- Zhi Su & Danni Wu & Zhenkun Zhou & Junran Wu & Libo Yin, 2023, "The Impact of Customer Online Satisfaction on Stock Returns: Evidence from the E-commerce Reviews in China," Papers, arXiv.org, number 2306.12119, Jun.
- Fabio Baschetti & Giacomo Bormetti & Pietro Rossi, 2023, "Deep calibration with random grids," Papers, arXiv.org, number 2306.11061, Jun, revised Jan 2024.
- Drago, Carlo & Di Nallo, Loris & Russotto, Maria Lucetta, , "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 336986, DOI: 10.22004/ag.econ.336986.
- Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023, "Bloated Disclosures: Can ChatGPT Help Investors Process Information?," Papers, arXiv.org, number 2306.10224, Jun, revised Oct 2025.
- Wassim Le Lann & Gauthier Delozière & Yann Le Lann, 2023, "Greenwashing the Talents: attracting human capital through environmental pledges," Working Papers, HAL, number hal-04140191, Jun.
- Simon Montfort, 2023, "Key predictors for climate policy support and political mobilization: The role of beliefs and preferences," Papers, arXiv.org, number 2306.10144, Jun.