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An Assessment Of Workarounds For Spatial Effects In The Case Of Binary Probit

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Author Info
Robertson, Richard D.
Nelson, Gerald C.

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Abstract

The consequences of spatial effects on discrete choice models have not been well established. Various ad hoc workarounds have been proposed to mitigate potential estimation problems. This paper employs Monte Carlo simulation to investigate the severity of the problems introduced by spatial effects and the effectiveness of the workarounds.

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File URL: http://purl.umn.edu/20234
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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2004 Annual meeting, August 1-4, Denver, CO with number 20234.

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Date of creation: 2004
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Handle: RePEc:ags:aaea04:20234

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Keywords: Research Methods/ Statistical Methods;

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  1. de Pinto, Alessandro & Nelson, Gerald C., 2006. "Modeling Deforestation and Land Use Change: Sparse Data Environments," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25723, International Association of Agricultural Economists. [Downloadable!]
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This page was last updated on 2009-11-26.


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