Report NEP-CMP-2021-06-14

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan Miles issued this report. It is usually issued weekly.

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Other reports in NEP-CMP

The following items were announced in this report:

• Anesti, Nikoleta & Kalamara, Eleni & Kapetanios, George, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
• Jin, Ding, 2021. "Metamodeling: A useful tool for applying innovative simulation techniques in agricultural economics," Working Papers of Agricultural Policy WP2021-02, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
• Oren Barkan & Jonathan Benchimol & Itamar Caspi & Allon Hammer & Noam Koenigstein, 2021. "Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks," Bank of Israel Working Papers 2021.06, Bank of Israel.
• Vanessa Angst & Chiara Colesanti Senni & Markus Maibach & Martin Peter & Noe Reidt & Renger van Nieuwkoop, 2021. "Economic impacts of decarbonizing the Swiss passenger transport sector," CER-ETH Economics working paper series 21/352, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
• Rho Caterina & Fernández Raúl & Palma Brenda, 2021. "A Sentiment-based Risk Indicator for the Mexican Financial Sector," Working Papers 2021-04, Banco de México.
• Hannes Mueller & André Groeger & Jonathan Hersh & Andrea Matranga & Joan Serrat, 2021. "Monitoring War Destruction from Space Using Machine Learning," Working Papers 1257, Barcelona School of Economics.
• Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2021. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," IZA Discussion Papers 14392, Institute of Labor Economics (IZA).
• Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Diffused Pivotality," Working Papers 2111, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
• Neuhäusler, Peter & Feidenheimer, Alexander & Frietsch, Rainer & Kroll, Henning, 2021. "Generating a classification for EUIPO trademark filings: A string matching approach," Discussion Papers "Innovation Systems and Policy Analysis" 69, Fraunhofer Institute for Systems and Innovation Research (ISI).
• Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.
• Mateusz Buczyński & Marcin Chlebus, 2021. "GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks," Working Papers 2021-08, Faculty of Economic Sciences, University of Warsaw.
• Saide Aránzazu Salazar & Jaime Oliver Huidobro & Alvaro Ortiz & Tomasa Rodrigo & Ignacio Tamarit, 2021. "México | Patrones de consumo de efectivo vs. tarjeta: una aproximación Big Data [Mexico | Cash vs. Card Consumption Patterns: A Machine Learning Approach]," Working Papers 21/05, BBVA Bank, Economic Research Department.
• Seuffert, Stefan, 2020. "German Pension Simulation: Arbeitspapier zur Methodik eines anwartschaftsbasierten Projektionsmodells der gesetzlichen Rentenversicherung," FZG Discussion Papers 73, University of Freiburg, Research Center for Generational Contracts (FZG).
• Adamecz-Völgyi, Anna & Szabó-Morvai, Ágnes, 2021. "Confidence in public institutions is critical in containing the COVID-19 pandemic," GLO Discussion Paper Series 861, Global Labor Organization (GLO).
• Rajesh B & Muralidhara B L, 2021. "Image Inpainting via Generative Multi-column with the aid of Deep Convolutional Neural Networks," BASE University Working Papers 07/2021, BASE University, Bengaluru, India.
• Hendrik Nevejan & Guy Van Camp & Dieter Vandelannoote, 2021. "Working Paper 04-21 - Réformes régionales des allocations familiales – Une analyse d’impact avec le modèle de microsimulation EXPEDITION [Working Paper 04-21 - Regionale kinderbijslaghervormingen –," Working Papers 2104, Federal Planning Bureau, Belgium.
• Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2019. "Simulating Family Life Courses: An Application for Italy, Great Britain, and Scandinavia," VID Working Papers 1908, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
• Peter B. Dixon & Maureen T. Rimmer, 2021. "Coping with seasonality in a quarterly CGE model: COVID-19 and U.S. agriculture," Centre of Policy Studies/IMPACT Centre Working Papers g-315, Victoria University, Centre of Policy Studies/IMPACT Centre.
• Emmanuel P. de Albuquerque, 2021. "The Creation and Diffusion of Knowledge - an Agent Based Modelling Approach," Working Papers 202113, School of Economics, University College Dublin.