Alternative Methods to Analyze the Rank Ordered Data: A Case of Invasive Species Control

Abstract

ABSTRACT. Data collected regarding homeowner preferences for various Formosan Subterranean termite control methods were analyzed using ordered probit and exploded logit models. Ordered probit model for first, second and fourth preferences had similar variables significant, although the first preference model had many significant variables. The most important variable, in terms of significance, across all preferences was the perception that a respondent thinks that termite existence is a problem in their neighborhood. The results from the exploded logit model indicated that a control option with liquid treatment option and more visits by a pest control agency is a less preferred treatment option. This paper was presented at the 2004 Research Modeling Association World Conference on Natural Resource Modeling in Melbourne, Australia.

Economic Values for Saltwater Sport Fishing in Alaska: A Stated Preference Analysis

“…This form for the probabilities is sometimes referred to as the "exploded logit" due to the form of the probabilities and how large they become as more choice alternatives are added. A recent study employing this approach to analyze rank-ordered CE data, but using conditional logit probabilities, was done by Paudel et al (2007). Lew et al (2010a) use the exploded logit model with random parameters similarly to our approach.…”

Valuing Improvements in The Water Rights System in South Africa: A Contingent Ranking Approach1

“…Recent applications of the rank‐ordered logit model in other fields include studies by Nixon et al. (2009) and Paudel et al. (2007).…”

“…The rank-ordered logit model relies on the repeated application of the conditional logit specification to the set of alternatives remaining after successive first choices have been eliminated from the available options (Hanemann and Kanninen, 1999;Foster and Mourato, 2002). Recent applications of the rank-ordered logit model in other fields include studies by Nixon et al (2009) andPaudel et al (2007). In the model, the probability of obtaining a particular ranking can be expressed as shown in Equation (3) (Hanemann and Kanninen, 1999).…”

Potential economic costs of invasive structural pests: conehead termites,Nasutitermes corniger, in Florida

“…For example, Paudel et al (2007) and Paudel, Pandit, and Dunn (2013) use data from a choice experiment survey to infer homeowner preferences for different types of treatment options to control potential infestations by the Formosan subterranean termite in Louisiana. Future research on the N. corniger invasion in Florida should also focus on homeowner preferences for preventive and reactive treatments against the threat of infestation and actual or hypothetical infestation of structures.…”