<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hynes, Stephen</style></author><author><style face="normal" font="default" size="100%">Greene, William</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach</style></title><secondary-title><style face="normal" font="default" size="100%">Land Economics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013-02-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">177-192</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/le.89.1.177</style></doi><volume><style face="normal" font="default" size="100%">89</style></volume><issue><style face="normal" font="default" size="100%">1</style></issue><abstract><style  face="normal" font="default" size="100%">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. (JEL Q51, Q57)</style></abstract></record></records></xml>