A fast estimation procedure for discrete choice random coefficients demand model

Publication Type:
Journal Article
Citation:
Applied Economics, 2017, 49 (58), pp. 5849 - 5855
Issue Date:
2017-12-14
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© 2017 Informa UK Limited, trading as Taylor & Francis Group. We document speed-up gains of graphical processing unit (GPU) computing over central processing unit (CPU) for the estimation of discrete choice random coefficient demand model. When we use a moderate-sized GPU, the computation is six to twenty times faster, where the smallest speed-up factor, six, is obtained from a comparison with the parallel computing over sixteen CPU cores.
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