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Report NEP-BIG-2017-10-01
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.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-BIG
The following items were announced in this report:
- Ye Luo & Martin Spindler, 2017. "$L_2$Boosting for Economic Applications," Papers 1702.03244, arXiv.org.
- Michaels, Guy & Nigmatulina, Dzhamilya & Rauch, Ferdinand & Regan, Tanner & Baruah, Neeraj & Dahlstrand-Rudin, Amanda, 2017. "Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania," CEPR Discussion Papers 12319, C.E.P.R. Discussion Papers.
- Victor Chernozhukov & Chris Hansen & Martin Spindler, 2016. "High-Dimensional Metrics in R," Papers 1603.01700, arXiv.org, revised Aug 2016.
- Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.
- Jens Ludwig & Sendhil Mullainathan & Jann Spiess, 2017. "Machine-Learning Tests for Effects on Multiple Outcomes," Papers 1707.01473, arXiv.org, revised May 2019.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016. "Optimal Data Collection for Randomized Control Trials," Papers 1603.03675, arXiv.org, revised Aug 2016.
- Ye Luo & Martin Spindler & Jannis Kuck, 2016. "High-Dimensional $L_2$Boosting: Rate of Convergence," Papers 1602.08927, arXiv.org, revised Jul 2022.