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A model for prediction of spatial farm structure AgEcon
Hoveid, Oyvind; Stokstad, Grete.
Spatial micro structure and its change over time is recorded for Norwegian farm firms. Relative strong correlations between geographically close neighbors are expected, either because growing farms swallow the smaller ones, or because they are affected by some spatially related unobserved factors. Strong correlations over time are also expected because of prevalent family farming. The paper proposes a state-of-the-art Markov chain model in order to predict the spatial and temporal micro structure taking account of both non-stationarity and spatio/temporal correlations by means of techniques from non-linear state space modeling and Gaussian Markov random fields. The model and the complete data set is then a device with which one can investigate the...
Tipo: Conference Paper or Presentation Palavras-chave: Farm Management.
Ano: 2011 URL: http://purl.umn.edu/114529
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Dynamics of income, wealth and capital in Norwegian farm household accounts: A state-space model AgEcon
Hoveid, Oyvind; Raknerud, A..
Feedbacks between on-farm and off-farm activities are analyzed with a state-space model over a panel of farm household accounts. We discover significant positive effects of farm capital both on farm income and on wage labor income. The latter effect is interpreted as wage labor partly paying the debt incurred by investments in farm capital. Significant positive effects on farm capital from wealth - indicating credit rationing or an immediate willingness to pay for farm investments - are also discovered. The wealth effect on farm income is also significantly positive. By and large - at least for the household for which the results are estimated, and for the model applied - Fishers separation theorem is rejected.
Tipo: Conference Paper or Presentation Palavras-chave: Farm households; Finance; Investment; Agricultural and Food Policy; Consumer/Household Economics.
Ano: 2008 URL: http://purl.umn.edu/44461
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ESTIMATING NON-PARAMETRIC AND PARAMETRIC TRANSFORMATION FUNCTIONS FROM SURVEY DATA: AN APPLICATION OF MINIMUM CROSS-ENTROPY AgEcon
Hoveid, Oyvind.
A model of a (convex) technology of representative and non-representative firms in a heterogeneous sector is presented in non-parametric and parametric versions. The heterogeneity is specified with error terms. The models including a non-parametric distribution of the errors can be estimated with entropy econometrics from firm survey data. This requires two important modifications in the standard approach to entropy estimation of Golan, Judge and Miller: The compact support of the probability distribution should be designed to capture eventual non-zero covariance. And cross-entropy need to be redefined for cases of multiple observations.
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2000 URL: http://purl.umn.edu/21851
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COMPARATIVE COSTS OF DAIRY MARKETING IN NORWAY AND THE U.S. AgEcon
Hoveid, Oyvind; Hammond, Jerome W..
Technical marketing efficiency is an important component of comparative advantage that countries may possess in food marketing. This aspect of marketing efficiency may be affected by size of market(s), technology used, input costs, and institutional factors. With regard to the latter, Norwegian policy makers have asked whether the extensive regulation and monopolization by a single processing cooperative in the Norwegian dairy sector have resulted in technical inefficiency that leads to excessive costs of milk marketing. Excessive marketing costs could have three important impacts; increased prices for domestic consumers, reduced prices for farmers, and reduced competitiveness in international markets. International competitiveness is critical for...
Tipo: Working or Discussion Paper Palavras-chave: Livestock Production/Industries.
Ano: 1994 URL: http://purl.umn.edu/13815
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Life and work on small-scale farms in Norway: an outlook based on survey results linked to financial data AgEcon
Lien, Gudbrand D.; Bergfjord, Ole Jakob; Hoveid, Oyvind.
This paper studies what causes (small-scale) farmers to leave their farms and typically move to urban areas. A data set is constructed by linking survey results with financial data, and the data set is analyzed by multivariate statistical techniques. Our results indicate that, while existence and size of future farm production is important, there is also a difference between farmers who primarily have financial objectives for their farming, and those who have more lifestyle oriented objectives. The latter group is, everything else being equal, more likely to stay on the farm. This could imply that, if preventing migration from rural to urban areas is a policy objective, production support schemes will be effective for some groups, but will be less...
Tipo: Conference Paper or Presentation Palavras-chave: Migration; Farmer objectives; Agricultural policy; Structural equation modelling; Agricultural and Food Policy; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/52849
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