A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach

In this paper, we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification, which assumes that the observations are drawn from a finite number of segments, where the distri...

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Main Authors: Hynes, S., Greene, William
Format: Journal Article
Published: University of Wisconsin Press 2013
Online Access:http://hdl.handle.net/20.500.11937/53353
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author Hynes, S.
Greene, William
author_facet Hynes, S.
Greene, William
author_sort Hynes, S.
building Curtin Institutional Repository
collection Online Access
description In this paper, we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification, which assumes that the observations are drawn from a finite number of segments, where the distributions differ in the intercept and the coefficients of the explanatory variables. The paper argues that count data panel models corrected for on-site sampling may still be inadequate and potentially misleading if the population of interest is heterogeneous with respect to the impact of the chosen explanatory variables. © 2013 by the Board of Regents of the University of Wisconsin System.
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institution Curtin University Malaysia
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publishDate 2013
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spelling curtin-20.500.11937-533532019-05-21T00:44:09Z A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach Hynes, S. Greene, William In this paper, we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification, which assumes that the observations are drawn from a finite number of segments, where the distributions differ in the intercept and the coefficients of the explanatory variables. The paper argues that count data panel models corrected for on-site sampling may still be inadequate and potentially misleading if the population of interest is heterogeneous with respect to the impact of the chosen explanatory variables. © 2013 by the Board of Regents of the University of Wisconsin System. 2013 Journal Article http://hdl.handle.net/20.500.11937/53353 10.3368/le.89.1.177 University of Wisconsin Press restricted
spellingShingle Hynes, S.
Greene, William
A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
title A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
title_full A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
title_fullStr A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
title_full_unstemmed A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
title_short A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach
title_sort panel travel cost model accounting for endogenous stratification and truncation: a latent class approach
url http://hdl.handle.net/20.500.11937/53353