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Detecting Technological Heterogeneity in New York Dairy Farms AgEcon
del Corral, Julio; Alvarez, Antonio; Tauer, Loren W..
Agricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different functions for each group. Alternatively, unique technologies can be determined by econometric procedures such as latent class models. This paper compares the results of a latent class model with the use of a priori information to split the sample using dairy farm data in the application. Latent class separation appears to be a superior method of separating heterogeneous technologies.
Tipo: Conference Paper or Presentation Palavras-chave: Parlor milking system; Stanchion milking system; Latent class model; Stochastic frontier; Production Economics.
Ano: 2009 URL: http://purl.umn.edu/49293
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Detecting Technological Heterogeneity in New York Dairy Farms AgEcon
del Corral, Julio; Alvarez, Antonio; Tauer, Loren W..
Agricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different functions for each group. Alternatively, unique technologies can be determined by econometric procedures such as latent class models. This paper compares the results of a latent class model with the use of a priori information to split the sample using dairy farm data in the application. Latent class separation appears to be a superior method of separating heterogeneous technologies.
Tipo: Working or Discussion Paper Palavras-chave: Parlor milking system; Stanchion milking system; Latent class model; Stochastic frontier; Agribusiness; Farm Management.
Ano: 2009 URL: http://purl.umn.edu/51143
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Landowner response to policies regulating land improvements: lease or search for other options? AgEcon
Eija, Pouta; Sami, Myyra; Kyosti, Pietola.
Land improvements with long pay-back periods are often delayed on leased agricultural land, resulting in social costs through land degradation, decreased land productivity and environmental problems. An important question is thus how landowners would respond to regulations and mandates concerning land improvements. Based on a landowner survey, we analyse landowner choices under certain land improvement regulations, using the currently dominant choice of leasing land for agricultural use as the benchmark. The results indicated that land leasing will continue to increase in the future, but if the landowner mandate to co-finance costly land improvements is increased, landowners are predicted to respond significantly to these mandates and search for other land...
Tipo: Conference Paper or Presentation Palavras-chave: Contingent behaviour; Latent class model; Landlord; Land use; Heterogeneity; Land Economics/Use; Q15; Q24; Q28.
Ano: 2011 URL: http://purl.umn.edu/114770
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Maximum likelihood estimation of generalized linear models with covariate measurement error AgEcon
Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew.
Generalized linear models with covariate measurement error can be estimated by maximum likelihood using gllamm, a program that fits a large class of multilevel latent variable models (Rabe-Hesketh, Skrondal, and Pickles 2004). The program uses adaptive quadrature to evaluate the log likelihood, producing more reliable results than many other methods (Rabe-Hesketh, Skrondal, and Pickles 2002). For a single covariate measured with error (assuming a classical measurement model), we describe a “wrapper” command, cme, that calls gllamm to estimate the model. The wrapper makes life easy for the user by accepting a simple syntax and data structure and producing extended and easily interpretable output. The commands for preparing the data and running gllamm can...
Tipo: Journal Article Palavras-chave: Covariate measurement error; Measurement model; Congeneric measurement model; Factor model; Adaptive quadrature; Nonparametric maximum likelihood; NPMLE; Latent class model; Empirical Bayes; Simulation; Wrapper; Sensitivity analysis; Gllamm; Cme; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116185
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Networks as determinants of rural migration AgEcon
Zarnekow, Nana; Henning, Christian H.C.A..
This paper focuses on networks as determinants of rural migration and the importance of networks in a rural development perspective. Furthermore the impact of public goods and amenities on migration decisions in rural regions is investigated. Special attention is paid on heterogeneity in peoples migration-decisive components. Data base is a non-farm household-survey of four rural communities in Poland. The estimations show that migration decisions are influenceable in different ways: Social networks as well as socio-economic components and the regional public-good endowment are important drivers of migration, but the direction and amount of influence depends on individual-preferences and on individual network-structures - among other things especially on...
Tipo: Conference Paper or Presentation Palavras-chave: Migration; Rural development; Social networks; Latent class model; Community/Rural/Urban Development; R23; D83; H41.
Ano: 2010 URL: http://purl.umn.edu/94829
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THE ROLE OF LABELLING IN CONSUMERS’ FUNCTIONAL FOOD CHOICES AgEcon
Zou, Ning Ning (Helen); Hobbs, Jill E..
Given the credence nature of functional food attributes labelling plays a key role in allowing consumers to make informed choices about foods with enhanced health attributes. The degree to which a particular jurisdiction permits health claims for food products and the type of allowable health claim influence the information set available to consumers. In Canada the regulatory environment governing health claims for functional food products is somewhat more restrictive than in other jurisdictions, including the United States. Food manufacturers therefore also use visual imagery to suggest a health benefit, such as the picture of a red heart to imply that a product has heart health benefits. The paper characterizes these labelling strategies as “partial...
Tipo: Conference Paper or Presentation Palavras-chave: Discrete choice experiment; Latent class model; Health; Labelling; Omega-3; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; D12; Q13; Q18.
Ano: 2010 URL: http://purl.umn.edu/116421
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