The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models

Hole, A.R. and Yoo, I.H. (2014) The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models. Working Paper. The Sheffield Economic Research Paper Series (SERPS) , 201402 . Department of Economics, University of Sheffield

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Authors/Creators:
  • Hole, A.R.
  • Yoo, I.H.
Copyright, Publisher and Additional Information: The Sheffield Economic Research Paper Series (SERPS) offers a forum for the research output of the Department of Economics, University of Sheffield. Papers are reviewed for quality and presentation by two internal referees and a departmental editor. However, the contents and opinions expressed remain the responsibility of the author(s). Comments are welcomed and should be addressed to the individual author(s).
Dates:
  • Published: 1 December 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Jan 2015 12:12
Last Modified: 12 Jan 2015 12:12
Published Version: http://www.sheffield.ac.uk/economics/research/serp...
Status: Published
Publisher: Department of Economics, University of Sheffield
Series Name: The Sheffield Economic Research Paper Series (SERPS)

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