Data/hora: 01/06/2024 08:31:58

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	CLIMATE CHANGE AND AGRICULTURAL PRODUCTIVITY IN SUB-SAHARAN AFRICA: A SPATIAL SAMPLE SELECTION MODEL	
Autores: 	Ward,   Patrick S.; Florax,   Raymond J.G.M.; Flores-Lagunes,   Alfonso.	
Data: 	2011-10-04	
Ano: 	2011	
Palavras-chave: 	Agricultural productivity; Climate change; Spatial econometrics; Sample selection; Generalized method of moments; Land Economics/Use; Productivity Analysis; Research Methods/ Statistical Methods; C31; Q18; C50.	
Resumo: 	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.	
Tipo: 	Working or Discussion Paper	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/116182	
Relação: 	Purdue University&gt;Department of Agricultural Economics&gt;Working Papers

11-4	
Formato: 	36 pages