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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| Format: | Journal Article |
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University of Wisconsin Press
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/53353 |
| Summary: | 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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