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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 (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:
- Ye Luo & Martin Spindler, 2017, "$L_2$Boosting for Economic Applications," Papers, arXiv.org, number 1702.03244, Feb.
- 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, C.E.P.R. Discussion Papers, number 12319, Sep.
- Victor Chernozhukov & Chris Hansen & Martin Spindler, 2016, "High-Dimensional Metrics in R," Papers, arXiv.org, number 1603.01700, Mar, revised Aug 2016.
- Steel, Mark F. J., 2017, "Model Averaging and its Use in Economics," MPRA Paper, University Library of Munich, Germany, number 81568, Sep.
- Jens Ludwig & Sendhil Mullainathan & Jann Spiess, 2017, "Machine-Learning Tests for Effects on Multiple Outcomes," Papers, arXiv.org, number 1707.01473, Jul, revised May 2019.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016, "Optimal Data Collection for Randomized Control Trials," Papers, arXiv.org, number 1603.03675, Mar, revised Aug 2016.
- Ye Luo & Martin Spindler & Jannis Kuck, 2016, "High-Dimensional $L_2$Boosting: Rate of Convergence," Papers, arXiv.org, number 1602.08927, Feb, revised Jul 2022.