Spatial Sample Selection Models
Spatial Sample Selection Models is a class of econometric models that account for non-random sampling mechanisms in spatial data by simultaneously modeling the spatial dependence in both the selection and outcome processes to correct for sample selection bias arising from spatially correlated unobservables.
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2017–2026
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Optimal Spatial Sampling Design in a Multivariate Framework
María C. Bueso, J. M. Angulo, J.J. Cruz-Sanjulián et al. · Mathematical Geology · 1999 · 29 citations
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Umeå University
Umeå, Sweden
1 h-index
2 publications
434 citations
Universidad Nacional de Colombia
Bogotá, Colombia
1 h-index
2 publications
52 citations

Queens College, CUNY
New York, United States
1 h-index
1 publications
15 citations
University of Illinois System
Urbana, United States
1 h-index
1 publications
15 citations
Columbus State University
Columbus, United States
1 h-index
2 publications
22 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
1 h-index
1 publications
217 citations

University of Neuchâtel
Neuchâtel, Switzerland
1 h-index
2 publications
28 citations

University of San Diego
San Diego, United States
1 h-index
2 publications
22 citations
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JABES · 1 publications · 14 citations
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1 publications · 26 citations
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1 publications · 217 citations
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1 publications · 15 citations
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1 publications · 11 citations
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