Halton Sequences for Mixed Logit
Kenneth Train ()
Department of Economics, Working Paper Series from Department of Economics, Institute for Business and Economic Research, UC Berkeley
Abstract:
The simulation variance in the estimation of mixed logit parameters is found, in our application, to be lower with 100 Halton draws than with 1000 random draws. This finding confirms Bhat's (1999a) results and implies significant reduction in run times for mixed logit estimation. Further investigation is needed to assure that the result is not quixotic or masking other issues.
Keywords: mixed logit; Halton (search for similar items in EconPapers)
Date: 2000-05-05
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (101)
Downloads: (external link)
https://www.escholarship.org/uc/item/6zs694tp.pdf;origin=repeccitec (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cdl:econwp:qt6zs694tp
Access Statistics for this paper
More papers in Department of Economics, Working Paper Series from Department of Economics, Institute for Business and Economic Research, UC Berkeley Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().