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Structural choice analysis with nested logit models AgEcon
Heiss, Florian.
The nested logit model has become an important tool for the empirical analysis of discrete outcomes. There is some confusion about its specification of the outcome probabilities. Two major variants show up in the literature. This paper compares both and finds that one of them (called random utility maximization nested logit, RUMNL) is preferable in most situations. Since the command nlogit of Stata 7.0 implements the other variant (called non-normalized nested logit, NNNL), an implementation of RUMNL called nlogitrum is introduced. Numerous examples support and illustrate the differences between both specifications.
Tipo: Journal Article Palavras-chave: Nlogitdn; Nlogitrum; Nested logit model; Discrete choice; Random utility maximization model; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/115999
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FOOD SAFETY RISK PERCEPTION AND CONSUMER CHOICE OF SPECIALTY MEATS AgEcon
Nganje, William E.; Kaitibie, Simeon.
Consumer perception issues and recent microbial outbreaks in the livestock industry continue to stifle demand for specialty meats in the United States. This study was designed to explore impacts of risk perception issues on consumer choice of bison meat. A stated preference discrete choice random utility model, a joint risk perception/product choice model, and a probability of frequency method to aggregating risk scenarios, were used for a range of food safety/certification regimes. Perceived risk reduces bison consumption, but its effect declines with shifts to more regulatory control inherent in the different certification regimes.
Tipo: Working or Discussion Paper Palavras-chave: Food safety; Bison; Specialty meat; Nested logit model; Risk perception; Product choice; Discrete choice experiment; Probability of frequency method; Food Consumption/Nutrition/Food Safety; Livestock Production/Industries.
Ano: 2003 URL: http://purl.umn.edu/23606
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