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A Study of the Demand for Medical Services in Taiwan AgEcon
Chung, Rebecca H.; Lee, Jonq-Ying; Brown, Mark G..
This paper presents a version of the household production theory to explain the demand for health. In this study we have explored the factors that influence the demand for medical services and medical expenditures in Taiwan. A negative binomial model was used to study the demand for medical services. We found that the demand for medical services and medical expenditures are related to household composition, household income, family size, occupation of the household head, and living environments. In addition, we found higher usage of medical services on average for those households with medical insurances other than the national health insurance.
Tipo: Working or Discussion Paper Palavras-chave: Medical service; Demand; Negative binomial model; Count data; Health Economics and Policy.
Ano: 2004 URL: http://purl.umn.edu/53389
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PROMOTING SUSTAINABLE INSECT MANAGEMENT STRATEGIES: LEARNING FROM ORGANIC FARMERS AgEcon
Lohr, Luanne; Park, Timothy A..
Organic farmers are dependent on alternative, biology-based insect control methods and are innovative in their on-farm experimentation with new strategies. By understanding the factors that influence the insect management portfolio chosen by organic farmers, research and education programs to promote sustainable insect management practices for all farmers may be devised. A negative binomial model of the factors influencing the number of alternative practices adopted is applied to survey data from American organic farmers. It is found that college-educated farmers with smaller acreages, more than half their acreage in horticultural production, and extensive experience with organic production have the greatest diversity in their insect management...
Tipo: Working or Discussion Paper Palavras-chave: Insect management; Negative binomial model; Organic farming; Technology adoption; Environmental Economics and Policy; Farm Management.
Ano: 2002 URL: http://purl.umn.edu/16650
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Leaf count overdispersion in coffee seedlings Ciência Rural
Silva,Edilson Marcelino; Furtado,Thais Destefani Ribeiro; Fernandes,Jaqueline Gonçalves; Cirillo,Marcelo Ângelo; Muniz,Joel Augusto.
ABSTRACT: Coffee crops play an important role in Brazilian agriculture, with a high level of social and economic participation resulting from the jobs created in the supply chain and from the income obtained by producers and the revenue generated for the country from coffee bean export. In coffee plant growth, leaves have a determinant role in higher production; therefore, the leaf count per plant provides relevant information to producers for adequate crop management, such as foliar fertilizer applications. To describe count data, the Poisson model is the most commonly employed model; when count data show overdispersion, the negative binomial model has been determined to be more adequate. The objective of this study was to compare the fitness of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Poisson model; Negative binomial model; Exponential family; Generalized linear model.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400201
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