Printed from https://ideas.repec.org/n/nep-cmp/2020-05-18.html
Report NEP-CMP-2020-05-18
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:
- Milan Fičura, 2019, "Forecasting Foreign Exchange Rate Movements with k-Nearest-Neighbour, Ridge Regression and Feed-Forward Neural Networks," FFA Working Papers, Prague University of Economics and Business, number 1.001, Nov, revised 24 Nov 2019.
- Calypso Herrera & Florian Krach & Anastasis Kratsios & Pierre Ruyssen & Josef Teichmann, 2020, "Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices," Papers, arXiv.org, number 2004.13612, Apr, revised Jun 2023.
- Calypso Herrera & Florian Krach & Josef Teichmann, 2020, "Local Lipschitz Bounds of Deep Neural Networks," Papers, arXiv.org, number 2004.13135, Apr, revised Feb 2023.
- Claudius Graebner & Anna Hornykewycz, 2020, "Capability accumulation and product innovation: an agent-based perspective," ICAE Working Papers, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy, number 108, Apr.
- Ashesh Rambachan & Jon Kleinberg & Sendhil Mullainathan & Jens Ludwig, 2020, "An Economic Approach to Regulating Algorithms," NBER Working Papers, National Bureau of Economic Research, Inc, number 27111, May.
- Filippo Di Pietro & Patrizio Lecca & Simone Salotti, 2020, "Regional economic resilience in the European Union: a numerical general equilibrium analysis," JRC Working Papers on Territorial Modelling and Analysis, Joint Research Centre, number 2020-03, Apr.
- Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2020, "Public policies and the art of catching up: matching the historical evidence with a multi-country agent-based model," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2020/10, May.
- Matthew A Cole & Robert J R Elliott & Bowen Liu, 2020, "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Discussion Papers, Department of Economics, University of Birmingham, number 20-09, May.
- Fanny A. Kluge & Tobias C. Vogt, 2020, "Intergenerational transfers within the family and the role for old age survival," MPIDR Working Papers, Max Planck Institute for Demographic Research, Rostock, Germany, number WP-2020-021, DOI: 10.4054/MPIDR-WP-2020-021.
- Azqueta-Gavaldon, Andres, 2020, "Political referenda and investment: evidence from Scotland," Working Paper Series, European Central Bank, number 2403, May.
- Andrea Caravaggio & Mauro Sodini, 2020, "Local Environmental Quality and Heterogeneity in an OLG Agent-Based Model with Network Externalities," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2020/257, May.
- Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020, "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology, Joint Research Centre, number 2020-02, Apr.
- Tadumadze, Giorgi & Emde, Simon & Diefenbach, Heiko, 2020, "Exact and heuristic algorithms for scheduling jobs with time windows on unrelated parallel machines," 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 120609.
- Bonacini, Luca & Gallo, Giovanni & Patriarca, Fabrizio, 2020, "Drawing policy suggestions to fight Covid-19 from hardly reliable data. A machine-learning contribution on lockdowns analysis," GLO Discussion Paper Series, Global Labor Organization (GLO), number 534.