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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, arXiv.org, number 2005.06386, Apr.
- 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, Central Bank of Chile, number 834, May.
- Korobilis, Dimitris & Pettenuzzo, Davide, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper, University Library of Munich, Germany, number 100165, May.
- Laurent Ferrara & Anna Simoni, 2020, "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2020-11.
- Josh Siepel & Marcus Dejardin, 2020, "How do we measure firm performance? A review of issues facing entrepreneurship researchers," Working Papers, HAL, number halshs-02571478, May.
- Ba Chu & Shafiullah Qureshi, 2020, "Predicting the COVID-19 Pandemic in Canada and the US," Carleton Economic Papers, Carleton University, Department of Economics, number 20-05, May, 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, number hal-02443385, May, DOI: 10.1016/j.respe.2019.03.027.
- Item repec:imf:imfwpa:20/57 is not listed on IDEAS anymore
- Gallego, Jorge & Prem, Mounu & Vargas, Juan F., 2020, "Corruption in the Times of Pandemia," Working papers, Red Investigadores de Economía, number 43, May.
- Liyang Tang, 2020, "Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment," Papers, arXiv.org, number 2005.08735, May.
- Jiexia Ye & Juanjuan Zhao & Kejiang Ye & Chengzhong Xu, 2020, "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction," Papers, arXiv.org, number 2005.04955, May, revised Oct 2020.
- Marc Burri & Daniel Kaufmann, 2020, "A daily fever curve for the Swiss economy," IRENE Working Papers, IRENE Institute of Economic Research, number 20-05, May.
- Fergusson, Leopoldo & Saavedra, Santiago & Vargas, Juan F., 2020, "The perils of misusing remote sensing data: The case of forest cover," Working papers, Red Investigadores de Economía, number 41, May.
- 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, ZBW - Leibniz Information Centre for Economics, number 216793, 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, Joint Research Centre, number 2020-04, May.
- Bargain, Olivier B. & Aminjonov, Ulugbek, 2020, "Trust and Compliance to Public Health Policies in Times of COVID-19," IZA Discussion Papers, IZA Network @ LISER, number 13205, May.
- Souta Nakatani & Kiyohiko G. Nishimura & Taiga Saito & Akihiko Takahashi, 2020, "Interest Rate Model with Investor Attitude and Text Mining," CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-F-1152, May.
- 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, number hal-02566443, May.
- 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, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI), number 20-18, May.
- Catalina Bolancé, 2020, "Retos para el análisis y la estimación de la distribución de probabilidad en Big-data," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202007, May, 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, IZA Network @ LISER, number 13204, May.