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Spatial micro structure and its change over time is recorded for Norwegianfarm firms. Relative strong correlations between geographically close neighborsare expected, either because growing farms swallow the smaller ones, or becausethey 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 predictthe spatial and temporal micro structure taking account of both non-stationarityand spatio/temporal correlations by means of techniques from non-linear statespace modeling and Gaussian Markov random fields.The model and the complete data set is then a device with which one caninvestigate the consequences of ignoring spatial and/or temporal correlations,both with complete data and with more sparsely sampled data, like FADN panelsor USDA's repeated cross-sections (ARMS).

Subject(s): Farm Management

Issue Date: Feb 17 2011

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/114529

Total Pages: 13

Record appears in: European Association of Agricultural Economists (EAAE) > 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland





Author: Hoveid, Oyvind ; Stokstad, Grete

Source: http://ageconsearch.umn.edu/record/114529?ln=en







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