Mohamed Drissi Bakhkhat

Personal Details

First Name:	Mohamed
Middle Name:
Last Name:	Drissi Bakhkhat
Suffix:
RePEc Short-ID:	pdr165
	[This author has chosen not to make the email address public]
	http://modrissi.org/
Terminal Degree:	2002 Département d'Économique; Université Laval (from RePEc Genealogy)

Affiliation

Faculté des Sciences Juridiques, Économiques et Sociales
Université Abdelmalek Essaadi

Tanger, Morocco
http://www.fsjest.ma/
RePEc:edi:feuaema (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Drissi, Mohamed & Truchon, Michel, 2002. "Maximum Likelihood Approach to Vote Aggregation with Variable Probabilities," Cahiers de recherche 0211, Université Laval - Département d'économique.
   • Mohamed Drissi-Bakhkhat & Michel Truchon, 2004. "Maximum likelihood approach to vote aggregation with variable probabilities," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 23(2), pages 161-185, October.

   Cited by:

   1. Marcus Pivato, 2013. "Voting rules as statistical estimators," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(2), pages 581-630, February.
      • Pivato, Marcus, 2011. "Voting rules as statistical estimators," MPRA Paper 30292, University Library of Munich, Germany.
   2. Michel Truchon & Stephen Gordon, 2006. "Statistical Comparison of Aggregation Rules for Votes," Cahiers de recherche 0625, CIRPEE.
      • Truchon, Michel & Gordon, Stephen, 2009. "Statistical comparison of aggregation rules for votes," Mathematical Social Sciences, Elsevier, vol. 57(2), pages 199-212, March.
   3. Conitzer, Vincent, 2012. "Should social network structure be taken into account in elections?," Mathematical Social Sciences, Elsevier, vol. 64(1), pages 100-102.
   4. Tzuo Hann Law & Iourii Manovskii & Marcus Hagedorn, 2014. "Identifying Equilibrium Models of Labor Market Sorting," 2014 Meeting Papers 896, Society for Economic Dynamics.
      • Marcus Hagedorn & Tzuo Hann Law & Iourii Manovskii, 2017. "Identifying Equilibrium Models of Labor Market Sorting," Econometrica, Econometric Society, vol. 85, pages 29-65, January.
      • Marcus Hagedorn & Tzuo Hann Law & Iourii Manovskii, 2012. "Identifying Equilibrium Models of Labor Market Sorting," NBER Working Papers 18661, National Bureau of Economic Research, Inc.
   5. Jean-François Laslier, 2010. "In Silico Voting Experiments," Studies in Choice and Welfare, in: Jean-François Laslier & M. Remzi Sanver (ed.), Handbook on Approval Voting, chapter 0, pages 311-335, Springer.
      • Jean-François Laslier, 2009. "In Silico Voting Experiments," Working Papers hal-00390376, HAL.
   6. Truchon, Michel, 2008. "Borda and the maximum likelihood approach to vote aggregation," Mathematical Social Sciences, Elsevier, vol. 55(1), pages 96-102, January.
      • Michel Truchon, 2006. "Borda and the Maximum Likelihood Approach to Vote Aggregation," Cahiers de recherche 0623, CIRPEE.
   7. Michel Truchon, 2004. "Aggregation of Rankings in Figure Skating," Cahiers de recherche 0414, CIRPEE.
      • Truchon, Michel, 2004. "Aggregation of Rankings in Figure Skating," Cahiers de recherche 0402, Université Laval - Département d'économique.
   8. T. Tideman & Florenz Plassmann, 2014. "Which voting rule is most likely to choose the “best” candidate?," Public Choice, Springer, vol. 158(3), pages 331-357, March.
   9. Yuta Nakamura, 2015. "Maximum Likelihood Social Choice Rule," The Japanese Economic Review, Japanese Economic Association, vol. 66(2), pages 271-284, June.

Articles

1. Mohamed Drissi-Bakhkhat & Michel Truchon, 2004. "Maximum likelihood approach to vote aggregation with variable probabilities," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 23(2), pages 161-185, October.
   • Drissi, Mohamed & Truchon, Michel, 2002. "Maximum Likelihood Approach to Vote Aggregation with Variable Probabilities," Cahiers de recherche 0211, Université Laval - Département d'économique.
   See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-CDM: Collective Decision-Making (1) 2003-04-09
2. NEP-DCM: Discrete Choice Models (1) 2003-04-09
3. NEP-ECM: Econometrics (1) 2003-04-12

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