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	Provedor de dados AgEcon (4) Autor Sardana, Kavita (4) Bergstrom, John C. (3) Bowker, James Michael (2) Bhattacharya, Subhra K. (1) English, Donald B.K. (1) Starbuck, C. Meghan (1) Mais... Palavra-chave Environmental Economics and Policy (2) Resource /Energy Economics and Policy (2) Choice based data (1) Clustering (1) Demand and Price Analysis (1) Endogenous stratification (1) Exogenous stratification (1) Outdoor recreation (1) Overdispersion (1) Q000 (1) Q500 (1) Recreational Demand models (1) Subject-specific effects (1) Truncated Stratified Negative Binomial Model (1) Mais... Tipo do documento Conference Paper or Presentation (4) Ano 2011 (2) 2010 (1) 2008 (1) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Modeling Site Specific Heterogeneity in an On-Site Stratified Random Sample of Recreational Demand AgEcon Sardana, Kavita; Bergstrom, John C.. Using estimation of demand for the George Washington/Jefferson National Forest as a case study, it is shown that in a stratified/clustered on-site sample, latent heterogeneity needs to be accounted for twice: first to account for dispersion in the data caused by unobservability of the process that results in low and high frequency visitors in the population, and second to capture unobservable heterogeneity among individuals surveyed at different sites according to a stratified random sample (site specific effects). It is shown that both of the parameters capturing latent heterogeneity are statistically significant. It is therefore claimed in this paper, that the model accounting for site-specific effects is superior to the model without such effects.... Tipo: Conference Paper or Presentation Palavras-chave: Recreational Demand models; Clustering; Subject-specific effects; Truncated Stratified Negative Binomial Model; Overdispersion; Environmental Economics and Policy. Ano: 2011 URL: http://purl.umn.edu/103868 An Optimal Rule for Switching over to Renewable fuels with Lower Price Volatility: A Case of Jump Diffusion Process AgEcon Sardana, Kavita; Bhattacharya, Subhra K.. This study investigates the optimal switching boundary to a renewable fuel when oil prices exhibit continuous random fluctuations along with occasional discontinuous jumps. In this paper, oil prices are modeled to follow jump diffusion processes. A completeness result is derived. Given that the market is complete the value of a contingent claim is risk neutral expectation of the discounted pay off process. Using the contingent claim analysis of investment under uncertainty, the Hamilton-Jacobi-Bellman (HJB) equation is derived for finding value function and optimal switching boundary. We get a mixed differential-difference equation which would be solved using numerical methods. Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis; Resource /Energy Economics and Policy. Ano: 2011 URL: http://purl.umn.edu/103926 Accounting for Geographic Heterogeneity in Recreation Demand Models AgEcon Sardana, Kavita; Bowker, James Michael; Bergstrom, John C.; Starbuck, C. Meghan; English, Donald B.K.. Spatial differences in site characteristics and user populations may result in heterogeneity of recreation preferences and values across geographic regions. Non-linear mixed effects models provide a potential means of accounting for this heterogeneity. This approach was tested by estimating a national-level recreation demand model with encouraging results. Tipo: Conference Paper or Presentation Palavras-chave: Resource /Energy Economics and Policy. Ano: 2008 URL: http://purl.umn.edu/6437 Modeling Demand for Outdoor Recreation Settings with Choice Based Data Accounting for Exogenous and Endogenous Stratification AgEcon Sardana, Kavita; Bowker, James Michael; Bergstrom, John C.. Estimating regional demand models by pooling different samples without correcting for such differences causes model misspecification as each sample belongs to a different population. Weighted regression using Pseudolikelihood to account for differences in sample population with adjustment for heteroskedasticity improves efficiency but the estimates are biased. We estimate regional demand for National Forest settings types in the southeastern states of U.S using weighted and unweighted regression. Using estimation of demand for National Forests as a case study, we resolve problems relating to inference about the data generating process when different samples are pooled together. We show that though efficiency of weighted estimates improves after correcting... Tipo: Conference Paper or Presentation Palavras-chave: Exogenous stratification; Endogenous stratification; Choice based data; Outdoor recreation; Environmental Economics and Policy; Q000; Q500. Ano: 2010 URL: http://purl.umn.edu/61046 Registros recuperados: 4 Primeira ... 1 ... Última

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