Recreation Demand Models
By D. Phaneuf, V. Smith. 2005
266 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Marketing
View Paper: https://www.semanticscholar.org/paper/316bb7b1d87fdb6f1eb45461809e4f77204c1aaf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Stephane Hess
- A. Riera
- Chandra R. Bhat
- Robert L. Hicks
- Carlos E. Carpio
- G. Parsons
- Angel Bujosa
- Kenneth Train
In Marketing
- A. Riera
- Chandra R. Bhat
- Robert L. Hicks
- Carlos E. Carpio
- G. Parsons
- Angel Bujosa
- Subodh K. Dubey
- Raghuprasad Sidharthan
Citations in the corpus
- Two-Constraints Models of Consumer Demand: An Application to the Demand for Agritourism in the United States (2006, background): “8 Phaneuf and Smith (2005) present a summary of price and income elasticities from recreation demand studies (e.”
- Structural Workshop Paper - Discrete-Choice Models of Consumer Demand in Marketing (2011, unknown): “…αj → 0, j = 1, .., J and αz → 0, (10) collapses to the utility from a Linear Expenditure System popular in the environment economics literature (Phaneuf and Smith 2005; von Haefen and Phaneuf 2005), u(x, z) = J∑ j=1 γjψj ln( xj γj + 1) + γzψz ln( z γz + 1) (11) When all the γ-s are…”
- The Travel Cost Model (2003, background): “See Shaw (1988) or Haab and McConnell (2002, p.”
- The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions (2008, methodology): “…Kim et al. and Bhat, there has been a stream of research in the environmental economics field (see Phaneuf et al., 2000; von Haefen et al., 2004; von Haefen, 2003a; von Haefen, 2004; von Haefen and Phaneuf, 2005; Phaneuf and Smith, 2005) that has also used the KT approach to multiple discreteness.”
- Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach (2010, methodology): “The random utility model (McFadden, 1974) is widely used to measure individual preferences over discrete alternatives (see for example, Haab and McConnell, 2002; Phaneuf and Smith, 2005).”