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Report NEP-BIG-2019-09-30
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:
- David Bounie & Antoine Dubus & Patrick Waelbroeck, 2022, "Collecting and Selling Consumer Information: Selling Mechanisms Matter," Working Papers, HAL, number hal-02288708, Nov.
- Daan Kolkman & Arjen van Witteloostuijn, 2019, "Data Science in Strategy: Machine learning and text analysis in the study of firm growth," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 19-066/VI, Sep.
- Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019, "Testing the Employment Impact of Automation, Robots and AI: A Survey and Some Methodological Issues," IZA Discussion Papers, IZA Network @ LISER, number 12612, Sep.
- Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019, "Testing the employment and skill impact of new technologies: A survey and some methodological issues," GLO Discussion Paper Series, Global Labor Organization (GLO), number 397.
- Sruthi Davuluri & René García Franceschini & Christopher R. Knittel & Chikara Onda & Kelly Roache, 2019, "Machine Learning for Solar Accessibility: Implications for Low-Income Solar Expansion and Profitability," NBER Working Papers, National Bureau of Economic Research, Inc, number 26178, Sep.
- Thomas Weston & Stanimira Milcheva, 2019, "Improving forecasts of the level and structure of long-run discount rates in the leasehold property market," ERES, European Real Estate Society (ERES), number eres2019_71, Jan.
- Loc Tran & Linh Tran, 2019, "To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods," Papers, arXiv.org, number 1909.08964, Sep.
- Shenhao Wang & Baichuan Mo & Jinhua Zhao, 2019, "Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions," Papers, arXiv.org, number 1909.07481, Sep, revised Apr 2021.
- Jesus Fernandez-Villaverde & Samuel Hurtado & Galo Nuno, 2019, "Financial Frictions and the Wealth Distribution," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 19-015, Sep.
- Indaco, Agustín, 2019, "From Twitter to GDP: Estimating Economic Activity From Social Media," MPRA Paper, University Library of Munich, Germany, number 95885, Mar.
- Miroslav Despotovic & David Koch & Sascha Leiber, 2019, "Automatic extraction of condition-specific visual characteristics from buildings," ERES, European Real Estate Society (ERES), number eres2019_284, Jan.
- Jialin Liu & Chih-Min Lin & Fei Chao, 2019, "Gradient Boost with Convolution Neural Network for Stock Forecast," Papers, arXiv.org, number 1909.09563, Sep.
- Dominick Bartelme & Andrei Levchenko & Ting Lan, 2019, "Specialization, Market Access and Medium-Term Growth," 2019 Meeting Papers, Society for Economic Dynamics, number 999.
- Daniel Piazolo, 2019, "Automation probability within the German real estate industry due to digitalization: A calculation of the size of the job killer aspect of digitalization gilded with an optimistic outlook due to the job engine aspect," ERES, European Real Estate Society (ERES), number eres2019_181, Jan.
- John Gibson & Susan Olivia & Geua Boe-Gibson, 2019, "A Test of DMSP and VIIRS Night Lights Data for Estimating GDP and Spatial Inequality for Rural and Urban Areas," Working Papers in Economics, University of Waikato, number 19/11, Sep.
- Agostino Valier & Ezio Micelli, 2019, "Digital innovation and Real estate appraisal," ERES, European Real Estate Society (ERES), number eres2019_320, Jan.
- Angelos Filos, 2019, "Reinforcement Learning for Portfolio Management," Papers, arXiv.org, number 1909.09571, Sep.
- David Drukker, 2019, "Inference after lasso model selection," London Stata Conference 2019, Stata Users Group, number 25, Sep.
- Aditya Aladangady & Shifrah Aron-Dine & Wendy Dunn & Laura Feiveson & Paul Lengermann & Claudia Sahm, 2019, "From Transactions Data to Economic Statistics: Constructing Real-time, High-frequency, Geographic Measures of Consumer Spending," NBER Working Papers, National Bureau of Economic Research, Inc, number 26253, Sep.