Interpreting the Reverse Multinomial Logit as a Count Data Model

Leisure Sciences 12 (1, Winter): 173-178 (1990)

10 Pages Posted: 24 Feb 2016

See all articles by Daniel Hellerstein

Daniel Hellerstein

U.S. Department of Agriculture (USDA) - Economic Research Service (ERS), Resource and Rural Economics Division

Date Written: February 22, 1990

Abstract

The reverse logit has been used with some success to predict trip demand, despite the lack of a theoretically plausible foundation. In this article, it is shown that the reverse logit can be derived from demand theory. Specifically, when demand is modeled with a fixed effects Poisson estimator, the results are analytically equivalent to the reverse logit.

Keywords: reverse logit, multi nomial logit, mno

JEL Classification: C25

Suggested Citation

Hellerstein, Daniel, Interpreting the Reverse Multinomial Logit as a Count Data Model (February 22, 1990). Leisure Sciences 12 (1, Winter): 173-178 (1990). Available at SSRN: https://ssrn.com/abstract=2736645

Daniel Hellerstein (Contact Author)

U.S. Department of Agriculture (USDA) - Economic Research Service (ERS), Resource and Rural Economics Division ( email )

355 E Street, SW
Washington, DC 20024-3221
United States
202-694-5613 (Phone)
202-694-5756 (Fax)

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