Abstract
Using spatially explicit data, we estimate a cereal yield response function using a recently developed estimator for spatial error models when endogenous sample selection is of concern. Our results suggest that yields across Sub-Saharan Africa will decline with projected climatic changes, and that failing to control for sample selection and spatially correlated errors leads to biased estimates of some climate impacts. We also find evidence that the estimated elasticities are essentially no different from those of simpler models ignoring those features in the data. Simulation experiments indicate the extent to which improvements in irrigation can ameliorate the effects of climate change.
Original language | English (US) |
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Pages (from-to) | 199-226 |
Number of pages | 28 |
Journal | European Review of Agricultural Economics |
Volume | 41 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2014 |
Externally published | Yes |
Keywords
- agricultural productivity
- climate change
- generalised method of moments estimation
- sample selection
- spatial econometrics
ASJC Scopus subject areas
- Agricultural and Biological Sciences (miscellaneous)
- Economics and Econometrics