CLIMATE CHANGE AND AGRICULTURAL PRODUCTIVITY IN SUB-SAHARAN AFRICA: A SPATIAL SAMPLE SELECTION MODEL

Patrick Ward (), Raymond Florax and Alfonso Flores-Lagunes ()

No 116182, Working papers from Purdue University, Department of Agricultural Economics

Abstract: Using data at a high spatial resolution, we estimate a cereal yield response function conditional upon climatological and topographical features using a recently developed estimator for spatial process models when sample selection is of concern. We control for localized spatial correlation in unobserved disturbances affecting both the selection to plant cereals as well as in the resulting conditional yield response. We find that cereal yields across Sub-Saharan Africa will decline with increasing temperatures resulting from global climate change, and that failing to control for sample selection leads to underestimation of these adverse effects.

Keywords: Land Economics/Use; Productivity Analysis; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 36 pages
Date: 2011
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Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Climate change and agricultural productivity in Sub-Saharan Africa: a spatial sample selection model (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:puaewp:116182

DOI: 10.22004/ag.econ.116182

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