Report NEP-BIG-2020-06-08

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Ivan Slobozhan & Peter Ormosi & Rajesh Sharma, 2020. "Which bills are lobbied? Predicting and interpreting lobbying activity in the US," Papers 2005.06386, arXiv.org.
• Marcelo Madeiros & Gabriel Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2019. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Working Papers Central Bank of Chile 834, Central Bank of Chile.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
• Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
• Josh Siepel & Marcus Dejardin, 2020. "How do we measure firm performance? A review of issues facing entrepreneurship researchers," Working Papers halshs-02571478, HAL.
• Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 Pandemic in Canada and the US," Carleton Economic Papers 20-05, Carleton University, Department of Economics, revised 30 Jul 2020.
• A. Salles & J. Dufour & P. Hassanaly & P. Michel & C. Cabot & J. Grosjean, 2019. "Analyse du discours médical sur Twitter®. Étude d’un corpus de tweets émis par des médecins généralistes entre juin 2012 et mars 2017 et contenant le hashtag #DocTocToc," Post-Print hal-02443385, HAL.
• Diego A. Cerdeiro & Andras Komaromi & Yang Liu & Mamoon Saeed, 2020. "World Seaborne Trade in Real Time: A Proof of Concept for Building AIS-based Nowcasts from Scratch," IMF Working Papers 20/57, International Monetary Fund.
• Gallego, Jorge & Prem, Mounu & Vargas, Juan F., 2020. "Corruption in the Times of Pandemia," Working papers 43, Red Investigadores de Economía.
• Liyang Tang, 2020. "Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment," Papers 2005.08735, arXiv.org.
• Jiexia Ye & Juanjuan Zhao & Kejiang Ye & Chengzhong Xu, 2020. "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction," Papers 2005.04955, arXiv.org, revised Oct 2020.
• Marc Burri & Daniel Kaufmann, 2020. "A daily fever curve for the Swiss economy," IRENE Working Papers 20-05, IRENE Institute of Economic Research.
• Fergusson, Leopoldo & Saavedra, Santiago & Vargas, Juan F., 2020. "The perils of misusing remote sensing data: The case of forest cover," Working papers 41, Red Investigadores de Economía.
• Altavilla, Carlo & Boucinha, Miguel & Peydró, José-Luis & Smets, Frank, 2020. "Banking Supervision, Monetary Policy and Risk-Taking: Big Data Evidence from 15 Credit Registers," EconStor Preprints 216793, ZBW - Leibniz Information Centre for Economics, revised 2020.
• Enrique Fernandez-Macias & Martina Bisello, 2020. "A Taxonomy of Tasks for Assessing the Impact of New Technologies on Work," JRC Working Papers on Labour, Education and Technology 2020-04, Joint Research Centre.
• Bargain, Olivier & Aminjonov, Ulugbek, 2020. "Trust and Compliance to Public Health Policies in Times of COVID-19," IZA Discussion Papers 13205, Institute of Labor Economics (IZA).
• Souta Nakatani & Kiyohiko G. Nishimura & Taiga Saito & Akihiko Takahashi, 2020. "Interest Rate Model with Investor Attitude and Text Mining," CIRJE F-Series CIRJE-F-1152, CIRJE, Faculty of Economics, University of Tokyo.
• David Bounie & Youssouf Camara & John Galbraith, 2020. "Consumers' Mobility, Expenditure and Online- Offline Substitution Response to COVID-19: Evidence from French Transaction Data," Working Papers hal-02566443, HAL.
• Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2020. "Consumer Responses to the COVID-19 Crisis: Evidence from Bank Account Transaction Data," CEBI working paper series 20-18, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
• Catalina Bolancé, 2020. "Retos para el análisis y la estimación de la distribución de probabilidad en Big-data," IREA Working Papers 202007, University of Barcelona, Research Institute of Applied Economics, revised May 2020.
• Brodeur, Abel & Clark, Andrew E. & Flèche, Sarah & Powdthavee, Nattavudh, 2020. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," IZA Discussion Papers 13204, Institute of Labor Economics (IZA).