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Report NEP-CMP-2021-10-18
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:
- Mahdieh Yazdani, 2021, "Machine Learning, Deep Learning, and Hedonic Methods for Real Estate Price Prediction," Papers, arXiv.org, number 2110.07151, Oct.
- Yufei Wu & Mahmoud Mahfouz & Daniele Magazzeni & Manuela Veloso, 2021, "Towards Robust Representation of Limit Orders Books for Deep Learning Models," Papers, arXiv.org, number 2110.05479, Oct, revised Dec 2022.
- Meerza, Syed Imran Ali & Meerza, Syed Irfan Ali & Ahamed, Afsana, 2021, "Food Insecurity Through Machine Learning Lens: Identifying Vulnerable Households," 2021 Annual Meeting, August 1-3, Austin, Texas, Agricultural and Applied Economics Association, number 314072, Aug, DOI: 10.22004/ag.econ.314072.
- Bernard Koch & Tim Sainburg & Pablo Geraldo & Song Jiang & Yizhou Sun & Jacob Gates Foster, 2021, "A Primer on Deep Learning for Causal Inference," Papers, arXiv.org, number 2110.04442, Oct, revised Nov 2023.
- Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021, "Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators," Papers, arXiv.org, number 2110.06763, Oct, revised Oct 2022.
- Muhammad Apriandito Arya Saputra & Andry Alamsyah & Fajar Ibnu Fatihan, 2021, "Hotel Preference Rank based on Online Customer Review," Papers, arXiv.org, number 2110.06133, Oct.
- Harold D Chiang & Yukun Ma & Joel Rodrigue & Yuya Sasaki, 2021, "Dyadic double/debiased machine learning for analyzing determinants of free trade agreements," Papers, arXiv.org, number 2110.04365, Oct, revised Dec 2022.
- Stefan Nabernegg, 2021, "Emission distribution and incidence of national mitigation policies among households in Austria," Graz Economics Papers, University of Graz, Department of Economics, number 2021-12, Oct.
- Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2021, "Income Risk Inequality: Evidence from Spanish Administrative Records," Working Papers, Banco de España, number 2136, Sep.
- Gabriel Borrageiro & Nick Firoozye & Paolo Barucca, 2021, "Reinforcement Learning for Systematic FX Trading," Papers, arXiv.org, number 2110.04745, Oct, revised May 2022.
- Romano, Stefania & Martinez-Heras, Jose & Raponi, Francesco Natalini & Guidi, Gregorio & Gottron, Thomas, 2021, "Discovering new plausibility checks for supervisory data," Statistics Paper Series, European Central Bank, number 41, Oct.
- Vîntu, Denis, 2021, "Fiscal Reform in the Republic of Moldova. Stochastic Dynamic General Equilibrium (SDGE) simulation," MPRA Paper, University Library of Munich, Germany, number 110113, Apr, revised 03 May 2021.
- Leo Ardon & Nelson Vadori & Thomas Spooner & Mengda Xu & Jared Vann & Sumitra Ganesh, 2021, "Towards a fully RL-based Market Simulator," Papers, arXiv.org, number 2110.06829, Oct, revised Nov 2021.
- Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022, "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 111601, Jul.
- Zacharias Bragoudakis & Dimitrios Panas, 2021, "Investigating government spending multiplier for the US economy: empirical evidence using a triple lasso approach," Working Papers, Bank of Greece, number 292, Oct.