Printed from https://ideas.repec.org/n/nep-cmp/2022-08-29.html
Report NEP-CMP-2022-08-29
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:
- Achim Ahrens, 2022, "Double/debiased machine learning in Stata," Italian Stata Users' Group Meetings 2022, Stata Users Group, number 06, Jul.
- Koffi, Siméon, 2022, "Prévision de l’inflation en Côte D’ivoire : Analyse Comparée des Modèles Arima, Holt-Winters, et Lstm
[Inflation Forecasting in Côte D'Ivoire: A Comparative Analysis of the Arima, Holt-Winters, and Lstm Models]," MPRA Paper, University Library of Munich, Germany, number 113961, Aug. - Achim Ahrens, 2022, "Stacking generalization and machine learning in Stata," Italian Stata Users' Group Meetings 2022, Stata Users Group, number 05, Jul.
- Andrés Alonso & José Manuel Carbó, 2022, "Accuracy of explanations of machine learning models for credit decisions," Working Papers, Banco de España, number 2222, Jun.
- Muriuki, James M. & Fuad, Syed M. & Badruddoza, Syed, 2022, "Can Machine Learning Predict Defaults in Peer-to-Peer Small Loans?," 2022 Annual Meeting, July 31-August 2, Anaheim, California, Agricultural and Applied Economics Association, number 322533, Aug, DOI: 10.22004/ag.econ.322533.
- Bhaskarjit Sarmah & Nayana Nair & Dhagash Mehta & Stefano Pasquali, 2022, "Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning," Papers, arXiv.org, number 2207.07183, Jul.
- Luo, Yufeng & Smith,, Travis A. & Chen,, Feifei, 2022, "Prediction of WIC Program Participation: A Machine Learning Approach to Fix Reporting Error," 2022 Annual Meeting, July 31-August 2, Anaheim, California, Agricultural and Applied Economics Association, number 322555, Aug, DOI: 10.22004/ag.econ.322555.
- Kim, Dongin & Steinbach, Sandro, 2022, "Preferential Trading in Agricultural and Food Products: New Insights from a Structural Gravity Analysis and Machine Learning," 2022 Annual Meeting, July 31-August 2, Anaheim, California, Agricultural and Applied Economics Association, number 322200, Aug, DOI: 10.22004/ag.econ.322200.
- Grzegorz Marcjasz & Micha{l} Narajewski & Rafa{l} Weron & Florian Ziel, 2022, "Distributional neural networks for electricity price forecasting," Papers, arXiv.org, number 2207.02832, Jul, revised Dec 2022.
- John Higgins & Tarun Sabarwal, 2022, "Control and spread of contagion in networks with global effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202213, Apr, revised Aug 2022.
- Fantazzini, Dean, 2022, "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper, University Library of Munich, Germany, number 113744.
- Feiyang Pan & Tongzhe Zhang & Ling Luo & Jia He & Shuoling Liu, 2022, "Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution," Papers, arXiv.org, number 2207.11152, Jul.
- Adrián Carro & Marc Hinterschweiger & Arzu Uluc & J. Doyne Farmer, 2022, "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Working Papers, Banco de España, number 2217, May.
- Greyling, Talita & Rossouw, Stephanié, 2022, "Re-examining adaptation theory using Big Data: Reactions to external shocks," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1129.
- Jun Lu & Shao Yi, 2022, "Autoencoding Conditional GAN for Portfolio Allocation Diversification," Papers, arXiv.org, number 2207.05701, Jun.
- Christl, Michael & De Poli, Silvia & Ivaškaitė-Tamošiūnė, Viginta, 2022, "The lock-in effect of marriage: Work incentives after saying, "Yes, I do."," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1142.