When a sample of recreators is drawn from the general population using a survey, many in the sample will not recreate at a recreation site of interest. This study focuses on nonparticipation in recreation demand modeling and the use of modified count-data models. We clarify the meaning of the single-hurdle Poisson (SHP) model and derive the double-hurdle Poisson (DHP) model. The latter is contrasted with the SHP and we show the DHP is consistent with Johnson and Kotz's zero-modified Poisson model
We extend the double-hurdle count data model to account for a joint decision in the first stage in w...
A Poisson regression model is commonly used to model count data. The Poisson model assumes equidispe...
The Poisson model is a commonly used method for modeling count data with exogenous variables, but it...
When a sample of recreators is drawn from the general population using a survey, many in the sample ...
Since the early 1990s, researchers have routinely used count data models (such as the Poisson and ne...
Infrequent count data in psychological research are commonly modelled using zeroinflated Poisson reg...
Since the early 1990s, researchers have routinely used count data models (such as the Poisson and ne...
In recreation demand models nonparticipation is usually estimated as the probability mass on zero de...
An important objective for policy-makers is how to allocate resources for the enjoyment of its citiz...
Hurdle and zero-inflated models are the two foremost methods used to deal with excess zeros. How...
The aim of this paper is to extend the truncated and endogenously stratified Poisson and negative bi...
Abstract Counts data with excessive zeros are frequently encountered in practice. For example, the n...
Recall data of consumption of cigarettes, alcohol, fresh fruits and vegetables; visits to recreation...
copies of this document for non-commercial purposes by any means, provided that this copyright notic...
The excess of zeros is not a rare feature in count data. Statisticians advocate the Poisson-type hur...
We extend the double-hurdle count data model to account for a joint decision in the first stage in w...
A Poisson regression model is commonly used to model count data. The Poisson model assumes equidispe...
The Poisson model is a commonly used method for modeling count data with exogenous variables, but it...
When a sample of recreators is drawn from the general population using a survey, many in the sample ...
Since the early 1990s, researchers have routinely used count data models (such as the Poisson and ne...
Infrequent count data in psychological research are commonly modelled using zeroinflated Poisson reg...
Since the early 1990s, researchers have routinely used count data models (such as the Poisson and ne...
In recreation demand models nonparticipation is usually estimated as the probability mass on zero de...
An important objective for policy-makers is how to allocate resources for the enjoyment of its citiz...
Hurdle and zero-inflated models are the two foremost methods used to deal with excess zeros. How...
The aim of this paper is to extend the truncated and endogenously stratified Poisson and negative bi...
Abstract Counts data with excessive zeros are frequently encountered in practice. For example, the n...
Recall data of consumption of cigarettes, alcohol, fresh fruits and vegetables; visits to recreation...
copies of this document for non-commercial purposes by any means, provided that this copyright notic...
The excess of zeros is not a rare feature in count data. Statisticians advocate the Poisson-type hur...
We extend the double-hurdle count data model to account for a joint decision in the first stage in w...
A Poisson regression model is commonly used to model count data. The Poisson model assumes equidispe...
The Poisson model is a commonly used method for modeling count data with exogenous variables, but it...