Machine Learning Methods for Demand Estimation.

We survey and apply several techniques from the statistical and computer science literature to the problem of demand estimation. To improve out-of-sample prediction accuracy, we propose a method of combining the underlying models via linear regression. Our method is robust to a large number of regre...

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Bibliographic Details

Published in:	American Economic Review Vol. 105; no. 5; pp. 481 - 486
Main Authors:	Bajari, Patrick, Nekipelov, Denis, Ryan, Stephen P., Yang, Miaoyu
Format:	Article
Published:	American Economic Association May2015
Subjects:	Economic demand Machine learning Estimation theory Mathematical models Demand function Big data Regression analysis
Online Access:	View this record in EBSCOhost