A Logit Model With Endogenous Explanatory Variables and Network Externalities

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dc.contributor.authorGrange, Louis de
dc.contributor.authorGonzález, Felipe
dc.contributor.authorVargas, Ignacio
dc.contributor.authorTroncoso, Rodrigo
dc.date.accessioned2016-01-27T10:42:43Z
dc.date.available2016-01-27T10:42:43Z
dc.date.issued2015
dc.description.abstractA novel logit model is presented that explicitly includes endogeneity in explanatory variables whose values depend on individual choice decisions that involve network externalities or social interactions such as those impacting road congestion or public transport comfort and convenience. The proposed specification corrects for this particular type of endogeneity. The model is derived from a linearly constrained maximum entropy optimization problem that incorporates the network externalities or social interactions causing the endogeneity. It is validated through simulations and an application to a case of transport mode choice in a Chilean city using real data.
dc.identifier.citationde Grange, L., González, F., Vargas, I. et al. A Logit Model With Endogenous Explanatory Variables and Network Externalities. Netw Spat Econ 15, 89–116 (2015).
dc.identifier.urihttp://hdl.handle.net/11447/208
dc.identifier.urihttp://dx.doi.org/10.1007/s11067-014-9271-5
dc.language.isoen_US
dc.subjectLogit model
dc.subjectEndogeneity
dc.subjectBias
dc.subjectNetwork externalities
dc.subjectSocial interactions
dc.subjectFixed point
dc.subjectMaximum entropy
dc.titleA Logit Model With Endogenous Explanatory Variables and Network Externalities
dc.typeArtículo

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