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.
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Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2000 Annual meeting, July 30-August 2, Tampa, FL with number
21763.
Length: Date of creation: 2000 Date of revision: Handle: RePEc:ags:aaea00:21763
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