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A Multinomial Extension of the Linear Logit Model

Authors: Theil, Henri;

A Multinomial Extension of the Linear Logit Model

Abstract

A large number of analyses in the social sciences are concerned with the determinants of the probability that a particular event will occur. For example, one may be interested in the forces which motivate commuters to use their cars to go to work as against some form of mass transport. Time, cost, and other considerations will play a role. Let p be the probability that a car is used, and hence 1 — p the probability that mass transport is preferred; then one may want to apply a linear specification of the form $$p = a + b{{{T_1}} \over {{T_2}}} + c{{{C_1}} \over {{C_2}}} + {d_1}{Q_2} + {d_2}{Q_2} + {d_3}{Q_3},$$ where T 1 and T 2 are the times (minutes per day) needed for the two competing modes of transportation, C 1 and C 2 their costs (dollars per day), and Q l, Q 2, and Q 3 commuter characteristics which are considered to be relevant to the choice (income, family size, etc.).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
227
Top 1%
Top 0.1%
Average
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