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Report NEP-CMP-2020-10-12
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:
- Kenneth W. Clements & Marc Jim Mariano & George Verikios, 2020, "Foreign-Domestic Substitution, Import Penetration And Cge Modelling," Economics Discussion / Working Papers, The University of Western Australia, Department of Economics, number 20-13.
- Jeanette Schmidt & Stefan Irnich, 2020, "New Neighborhoods and an Iterated Local Search Algorithm for the Generalized Traveling Salesman Problem," Working Papers, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, number 2020, Sep.
- Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020, "Uncertainty and Monetary Policy during Extreme Events," CESifo Working Paper Series, CESifo, number 8561.
- Friedman, D. & Fan, J. & Gair, J. & Iyer, S. & Redlicki, B. & Velu, C., 2020, "A Simulation Study of How Religious Fundamentalism Takes Root," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2089, Sep.
- Rotem Zelingher & David Makowski & Thierry Brunelle, 2020, "Forecasting impacts of Agricultural Production on Global Maize Price
[Prévision des impacts de la production agricole sur les prix mondiaux du maïs]," Working Papers, HAL, number hal-02945775, Sep. - Bellotti, Anthony & Brigo, Damiano & Gambetti, Paolo & Vrins, Frédéric, 2020, "Forecasting recovery rates on non-performing loans with machine learning," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2020002, Jan.
- Caperna, Giulio & Colagrossi, Marco & Geraci, Andrea & Mazzarella, Gianluca, 2020, "Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data," JRC Working Papers in Economics and Finance, Joint Research Centre, European Commission, number 2020-04, Sep.
- Gambetti, Paolo & Roccazzella, Francesco & Vrins, Frédéric, 2020, "Meta-learning approaches for recovery rate prediction," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2020007, Jan.
- Cuong Nguyen & Ilan Noy & Dag Einar Sommervoll & Fang Yao, 2020, "Redrawing of a Housing Market: Insurance Payouts and Housing Market Recovery in the Wake of the Christchurch Earthquake of 2011," CESifo Working Paper Series, CESifo, number 8560.
- Saikai, Yuji & Patel, Vivak & Mitchell, Paul, , "Machine learning for optimizing complex site-specific management," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia, Australian Agricultural and Resource Economics Society, number 305238, DOI: 10.22004/ag.econ.305238.
- Costola, Michele & Nofer, Michael & Hinz, Oliver & Pelizzon, Loriana, 2020, "Machine learning sentiment analysis, Covid-19 news and stock market reactions," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 288.
- Alexis Louaas & Pierre Picard, 2020, "A pandemic business interruption insurance," Working Papers, HAL, number hal-02941948, Sep.
- Ana Sanjuan Lopez & Marie-Luise Rau & Geert Woltjer, 2019, "Exploring alternative approaches to estimate the impact of non-tariff measures and further implementation in simulation models," JRC Research Reports, Joint Research Centre, number JRC113883, May.
- Pinto, Claudio, 2020, "Fuzzy DEA models for sports data analysis: The evaluation of the relative performances of professional (virtual) football teams," MPRA Paper, University Library of Munich, Germany, number 103129, Sep.
- Eliasson, Jonas & Savemark, Christian & Franklin, Joel, 2020, "The impact of land use effects in infrastructure appraisal," MPRA Paper, University Library of Munich, Germany, number 103085.
- An-Hsiang Liu & Ralph Siebert, 2020, "The Competitive Effects of Declining Entry Costs over Time: Evidence from the Static Random Access Memory Market," CESifo Working Paper Series, CESifo, number 8552.