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  • Search: subject:"Subject-specific effects"
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Year of publication
Subject
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Subject-specific effects 3 Clustering 2 Environmental Economics and Policy 2 Overdispersion 2 Recreational Demand models 2 Truncated Stratified Negative Binomial Model 2 Dual consistency 1 Generalized estimating equations 1 Mantel–Haenszel estimator 1 Marginal models 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1 Other 1
Language
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Undetermined 2 English 1
Author
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Bergstrom, John C. 2 Sardana, Kavita 2 Liu, Ivy 1 Suesse, Thomas 1
Institution
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Agricultural and Applied Economics Association - AAEA 1
Published in...
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2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 1 Computational Statistics & Data Analysis 1
Source
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RePEc 2 BASE 1
Showing 1 - 3 of 3
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Modeling Site Specific Heterogeneity in an On-Site Stratified Random Sample of Recreational Demand
Sardana, Kavita; Bergstrom, John C. - 2011
Using estimation of demand for the George Washington/Jefferson NationalForest as a case study, it is shown that in a stratified/clustered on-sitesample, latent heterogeneity needs to be accounted for twice: first to accountfor dispersion in the data caused by unobservability of the process that...
Persistent link: https://www.econbiz.de/10009444348
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Cover Image
Modeling Site Specific Heterogeneity in an On-Site Stratified Random Sample of Recreational Demand
Sardana, Kavita; Bergstrom, John C. - Agricultural and Applied Economics Association - AAEA - 2011
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...
Persistent link: https://www.econbiz.de/10009021105
Saved in:
Cover Image
Mantel–Haenszel estimators of odds ratios for stratified dependent binomial data
Suesse, Thomas; Liu, Ivy - In: Computational Statistics & Data Analysis 56 (2012) 9, pp. 2705-2717
A standard approach to analyzing n binary matched pairs usually represented in n 2×2 tables is to apply a subject-specific model; for the simplest situation it is the so-called Rasch model. An alternative population-averaged approach is to apply a marginal model to the single 2×2 table formed...
Persistent link: https://www.econbiz.de/10011056512
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