Report NEP-BIG-2020-07-20

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:

• Daniel Nepelski & Maciej Sobolewski, 2020, "Estimating investments in General Purpose Technologies. The case of AI Investments in Europe," JRC Research Reports, Joint Research Centre, number JRC118953, May.
• de Cornière, Alexandre & Taylor, Greg, 2022, "Data and Competition: a Simple Framework with Applications to Mergers and Market Structure," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14446, Mar.
• Veronica Leoni & Jan Olof William Nilsson, 2020, "Dynamic pricing and revenues of Airbnb listings: estimating heterogeneous causal effects," DEA Working Papers, Universitat de les Illes Balears, Departament d'Economía Aplicada, number 92.
• Georges Bresson & Anoop Chaturvedi & Mohammad Arshad Rahman & Shalabh, 2020, "Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation," Papers, arXiv.org, number 2006.07074, Jun.
• Colin van Noordt & Gianluca Misuraca & Marzia Mortati & Francesca Rizzo & Tjerk Timan, 2020, "AI Watch - Artificial Intelligence for the public sector: Report of the "1st Peer Learning Workshop on the use and impact of AI in public services", Brussels 11-12 February 2020," JRC Research Reports, Joint Research Centre, number JRC120315, Jun.
• Nishanth Dikkala & Greg Lewis & Lester Mackey & Vasilis Syrgkanis, 2020, "Minimax Estimation of Conditional Moment Models," Papers, arXiv.org, number 2006.07201, Jun.
• Edward J. Oughton & Jatin Mathur, 2020, "Predicting cell phone adoption metrics using satellite imagery," Papers, arXiv.org, number 2006.07311, Jun, revised Jun 2021.
• Souta Nakatani & Kiyohiko G. Nishimura & Taiga Saito & Akihiko Takahashi, 2020, "Interest Rate Model with Investor Attitude and Text Mining (Published in IEEE Access)," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-479, May.
• Jason Hartford & Victor Veitch & Dhanya Sridhar & Kevin Leyton-Brown, 2020, "Valid Causal Inference with (Some) Invalid Instruments," Papers, arXiv.org, number 2006.11386, Jun.
• Mariya Brussevich & Ms. Era Dabla-Norris & Christine Kamunge & Pooja Karnane & Salma Khalid & Ms. Kalpana Kochhar, 2018, "Gender, Technology, and the Future of Work," IMF Staff Discussion Notes, International Monetary Fund, number 2018/007, Oct.
• Rickard Nyman & Paul Ormerod, 2020, "Text as data: a machine learning-based approach to measuring uncertainty," Papers, arXiv.org, number 2006.06457, Jun.
• Andrew B. Martinez, 2020, "Forecast Accuracy Matters for Hurricane Damages," Working Papers, The George Washington University, The Center for Economic Research, number 2020-003, May.
• Stephany, Fabian, 2020, "It's Not Only Size That Matters: Trust and E-Government Success in Europe," SocArXiv, Center for Open Science, number cqfhr, May, DOI: 10.31219/osf.io/cqfhr.
• Altavilla, Carlo & Boucinha, Miguel & Peydró, José-Luis & Smets, Frank, 2020, "Banking Supervision, Monetary Policy and Risk-Taking: Big Data Evidence from 15 Credit Registers," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14288, Jan.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers, Brandeis University, Department of Economics and International Business School, number 130, Apr.
• Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2020, "Belief Distortions and Macroeconomic Fluctuations," NBER Working Papers, National Bureau of Economic Research, Inc, number 27406, Jun.
• Michael Karpe, 2020, "An overall view of key problems in algorithmic trading and recent progress," Papers, arXiv.org, number 2006.05515, Jun.
• Viladecans-Marsal, Elisabet & Garcia-Lopez, Miquel-Angel & Arribas-Bel, Daniel, 2020, "Building(s and) cities: Delineating urban areas with a machine learning algorithm," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14450, Feb.
• Chendi Ni & Yuying Li & Peter Forsyth & Ray Carroll, 2020, "Optimal Asset Allocation For Outperforming A Stochastic Benchmark Target," Papers, arXiv.org, number 2006.15384, Jun.
• Christoph Lakner & Daniel Gerszon Mahler & Mario Negre & Espen Beer Prydz, 2020, "How Much Does Reducing Inequality Matter for Global Poverty?," Global Poverty Monitoring Technical Note Series, The World Bank, number 13, Jun.
• Rey, Alexey (Рэй, Алексей) & Shagarov, Dmitriy (Шагаров, Дмитрий) & Andronova, Ekaterina (Андронова, Екатерина) & Molchanova, Glafira (Молчанова, Глафира), 2020, "Collusion detection on public procurement in Russia
  [Обнаружение Сговора На Государственных Закупках В России]," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number 032048, Mar.
• Fornaro, Paolo, 2020, "Nowcasting Industrial Production Using Uncoventional Data Sources," ETLA Working Papers, The Research Institute of the Finnish Economy, number 80, Jun.
• Parisa Golbayani & Ionuc{t} Florescu & Rupak Chatterjee, 2020, "A comparative study of forecasting Corporate Credit Ratings using Neural Networks, Support Vector Machines, and Decision Trees," Papers, arXiv.org, number 2007.06617, Jul.
• Antonio Briola & Jeremy Turiel & Tomaso Aste, 2020, "Deep Learning modeling of Limit Order Book: a comparative perspective," Papers, arXiv.org, number 2007.07319, Jul, revised Oct 2020.
• Künn, Steffen & Seel, Christian & Zegners, Dainis, 2020, "Cognitive Performance in the Home Office - Evidence from Professional Chess," Research Memorandum, Maastricht University, Graduate School of Business and Economics (GSBE), number 021, Jul, DOI: 10.26481/umagsb.2020021.
• Revathi Bhuvaneswari & Antonio Segalini, 2020, "Determining Secondary Attributes for Credit Evaluation in P2P Lending," Papers, arXiv.org, number 2006.13921, Jun.
• Paul Friedrich & Josef Teichmann, 2020, "Deep Investing in Kyle's Single Period Model," Papers, arXiv.org, number 2006.13889, Jun.
• Item repec:bof:bofrdp:2020_012 is not listed on IDEAS anymore

• Giavazzi, Francesco & Lemoli, Giacomo & Rubera, Gaia & Iglhaut, Felix, 2020, "Terrorist Attacks, Cultural Incidents and the Vote for Radical Parties: Analyzing Text from Twitter," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14455, Feb.
• Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš & Molnár, Peter, 2020, "Fear of the coronavirus and the stock markets," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 219336.
• Jacques Bughin, 2020, "How Firms will affect the Future of Work," Working Papers TIMES², ULB -- Universite Libre de Bruxelles, number 2020-035, Jun.
• Dingel, Jonathan & Miscio, Antonio & Davis, Donald R, 2020, "Cities, Lights, and Skills in Developing Economies," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14434, Feb.

Report NEP-BIG-2020-07-20

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: