MODELING SPATIAL DEPENDENCE AND SPATIAL HETEROGENEITY IN COUNTY YIELD FORECASTING MODELS

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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Year of publication:	2000
Authors:	DiRienzo, Cassandra ; Fackler, Paul L. ; Goodwin, Barry K.
Institutions:	Agricultural and Applied Economics Association - AAEA
Subject:	Productivity Analysis \| Research Methods/ Statistical Methods

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Extent:	application/pdf
Series:	2000 Annual meeting, July 30-August 2, Tampa, FL.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 2000 Annual meeting, July 30-August 2, Tampa, FL Number 21763
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005320414