MODELING SPATIAL DEPENDENCE AND SPATIAL HETEROGENEITY IN COUNTY YIELD FORECASTING MODELS Reportar como inadecuado




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The implications of ignoring potential spatial dependence in county-level yield data are discussed. Spatial dependence in a county-level yield data set is identified and methods for correcting the dependence via spatial weighting matrices and generalized least squares regression are performed. The paper also examines how the spatial dependence declines as the distance between observations increases.

Subject(s): Productivity Analysis

Research Methods/ Statistical Methods

Issue Date: 2000

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/21763

Total Pages: 10

Series Statement: Selected Paper

Record appears in: American Agricultural Economics Association (AAEA) > 2000 Annual meeting, July 30-August 2, Tampa, FL





Autor: DiRienzo, Cassandra ; Fackler, Paul L. ; Goodwin, Barry K.

Fuente: http://ageconsearch.umn.edu/record/21763?ln=en







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