Directional Spatial Dependence and Its Implications for Modeling Systemic Yield Risk

Ying Zhu, Sujit K. Ghosh and Barry Goodwin ()

No 49455, 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin from Agricultural and Applied Economics Association

Abstract: The objective of this study is to evaluate and model the spatial dependence of systemic yield risk. Various spatial autoregressive models are explored to account for county level dependence of crop yields. The results show that the time trend parameters of yields are correlated across spaces and the spatial correlations are changing with time. In addition, the spatial correlation of neighborhood in west/east direction is stronger than that of north/south direction. The information of the spatial dependence of yield risk will help the construction of better risk management programs for protecting producers from systemic yield risks.

Keywords: Risk; and; Uncertainty (search for similar items in EconPapers)
Pages: 15
Date: 2009
New Economics Papers: this item is included in nep-geo and nep-rmg
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea09:49455

DOI: 10.22004/ag.econ.49455

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