Report NEP-BIG-2018-08-20

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:

• Olivier Gergaud & Morgane Laouenan & Etienne Wasmer, 2016. "A Brief History of Human Time. Exploring a database of " notable people "," Working Papers hal-01440325, HAL.
• Hal Varian, 2018. "Artificial Intelligence, Economics, and Industrial Organization," NBER Working Papers 24839, National Bureau of Economic Research, Inc.
• Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
• Stephen Law & Brooks Paige & Chris Russell, 2018. "Take a Look Around: Using Street View and Satellite Images to Estimate House Prices," Papers 1807.07155, arXiv.org, revised Oct 2019.
• Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
• Vira Semenova, 2018. "Machine Learning for Dynamic Discrete Choice," Papers 1808.02569, arXiv.org, revised Nov 2018.
• Hyeong Kyu Choi, 2018. "Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model," Papers 1808.01560, arXiv.org, revised Oct 2018.
• Piret Tõnurist & Veiko Lember & Rainer Kattel, 2016. "Joint data platforms as X factor for efficiency gains in the public sector?," The Other Canon Foundation and Tallinn University of Technology Working Papers in Technology Governance and Economic Dynamics 70, TUT Ragnar Nurkse Department of Innovation and Governance.
• Bryan Bollinger & Jesse Burkhardt & Kenneth Gillingham, 2018. "Peer Effects in Water Conservation: Evidence from Consumer Migration," NBER Working Papers 24812, National Bureau of Economic Research, Inc.
• Aliza Fleischer & Daniel Felsenstein & Michal Lichter, 2017. "A spatially accurate method for evaluating distributional effects of ecosystem services," Discussion Papers 264872, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
• Alemanno, Alberto, 2018. "Data for Good: Unlocking Privately-Held Data to the Benefit of the Many," HEC Research Papers Series 1280, HEC Paris.
• Junpei Komiyama & Hajime Shimao, 2018. "Cross Validation Based Model Selection via Generalized Method of Moments," Papers 1807.06993, arXiv.org.
• Sarah Cornell-Farrow & Robert Garrard, 2018. "Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from Australia," Papers 1807.07215, arXiv.org, revised Jan 2020.
• Jason Furman & Robert Seamans, 2018. "AI and the Economy," NBER Working Papers 24689, National Bureau of Economic Research, Inc.
• Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Learning to Average Predictively over Good and Bad: Comment on: Using Stacking to Average Bayesian Predictive Distributions," Tinbergen Institute Discussion Papers 18-063/III, Tinbergen Institute.
• Ebbes, Peter & Netzer, Oded, 2018. "Using Social Network Activity Data to Identify and Target Job Seekers," HEC Research Papers Series 1284, HEC Paris.
• Anil Kumar & Che-Yuan Liang, 2018. "Labor Market Effects of Credit Constraints: Evidence from a Natural Experiment," Working Papers 1810, Federal Reserve Bank of Dallas, revised 04 Feb 2023.
• TAMURA Suguru, 2018. "Determinants of the Survival Ratio for De Jure Standards: AI-related technologies and interaction with patents," Policy Discussion Papers 18014, Research Institute of Economy, Trade and Industry (RIETI).
• Alexandre Coulondre, 2018. "Ouvrir la boîte noire des marchés du logement," Post-Print hal-01838393, HAL.