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Report NEP-CMP-2019-05-06
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Yu Zheng & Yongxin Yang & Bowei Chen, 2019, "Incorporating prior financial domain knowledge into neural networks for implied volatility surface prediction," Papers, arXiv.org, number 1904.12834, Apr, revised May 2021.
- Allison Koenecke & Amita Gajewar, 2019, "Curriculum Learning in Deep Neural Networks for Financial Forecasting," Papers, arXiv.org, number 1904.12887, Apr, revised Jul 2019.
- Sen, Sugata, 2019, "Decomposition of intra-household disparity sensitive fuzzy multi-dimensional poverty index: A study of vulnerability through Machine Learning," MPRA Paper, University Library of Munich, Germany, number 93550, Apr.
- Zhou, Zhengyuan & Athey, Susan & Wager, Stefan, 2018, "Offline Multi-Action Policy Learning: Generalization and Optimization," Research Papers, Stanford University, Graduate School of Business, number 3734, Oct.
- Makoto Chiba & Mikari Kashima & Kenta Sekiguchi, 2019, "Legal Responsibility in Investment Decisions Using Algorithms and AI," Bank of Japan Research Laboratory Series, Bank of Japan, number 19-E-1, Apr.
- Athey, Susan & Imbens, Guido W., 2019, "Machine Learning Methods Economists Should Know About," Research Papers, Stanford University, Graduate School of Business, number 3776, Mar.
- John A. Clithero & Jae Joon Lee & Joshua Tasoff, 2019, "Supervised Machine Learning for Eliciting Individual Demand," Papers, arXiv.org, number 1904.13329, Apr, revised Feb 2021.
- Jasdeep Kalsi & Terry Lyons & Imanol Perez Arribas, 2019, "Optimal execution with rough path signatures," Papers, arXiv.org, number 1905.00728, May.
- Badenes-Plá, Nuria & Gambau-Suelves, Borja & Navas Román, MarÃa, 2019, "Distributional and welfare effects of replacing monetary benefits with Universal Basic Income in Spain," EUROMOD Working Papers, EUROMOD at the Institute for Social and Economic Research, number EM8/19, Apr.
- Alessandro Balata & Michael Ludkovski & Aditya Maheshwari & Jan Palczewski, 2019, "Statistical Learning for Probability-Constrained Stochastic Optimal Control," Papers, arXiv.org, number 1905.00107, Apr, revised Aug 2020.
- Du, Ruihuan & Zhong, Yu & Nair, Harikesh S. & Cui, Bo & Shou, Ruyang, 2019, "Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network," Research Papers, Stanford University, Graduate School of Business, number 3761, Jan.
- Makarski, Krzysztof & Tyrowicz, Joanna & Malec, Magda, 2019, "Evaluating Welfare and Economic Effects of Raised Fertility," IZA Discussion Papers, Institute of Labor Economics (IZA), number 12272, Apr.
- Acemoglu, Daron & Restrepo, Pascual, 2019, "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand," IZA Discussion Papers, Institute of Labor Economics (IZA), number 12292, Apr.
- Pumplun, Luisa & Tauchert, Christoph & Heidt, Margareta, 2019, "A New Organizational Chassis for Artificial Intelligence - Exploring Organizational Readiness Factors," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 112582, Jun.