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| Jann, Ben. |
| The counterfactual decomposition technique popularized by Blinder (1973, Journal of Human Resources, 436–455) and Oaxaca (1973, International Economic Review, 693–709) is widely used to study mean outcome differences between groups. For example, the technique is often used to analyze wage gaps by sex or race. This article summarizes the technique and addresses several complications, such as the identification of effects of categorical predictors in the detailed decomposition or the estimation of standard errors. A new command called oaxaca is introduced, and examples illustrating its usage are given. |
| Tipo: Article |
Palavras-chave: Oaxaca; Blinder–Oaxaca decomposition; Outcome differential; Wage gap; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/122615 |
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| Bellon, Mauricio R.; Smale, Melinda; Aguirre, Alfonso; Taba, Suketoshi; Aragon, Flavio; Diaz, Jaime; Castro, Humberto. |
| Identifying the appropriate germplasm to be improved is a key component of any participatory breeding effort because of its implications for impacts on social welfare and genetic diversity. This paper describes a method developed to select a subset of 17 populations for a participatory breeding project from a set of 152 maize landraces. The larger set of landraces was collected in order to characterize, for conservation purposes, the maize diversity present in the Central Valleys of Oaxaca, Mexico. The method combines data representing the perspectives of both men and women members of farm households and those of genetic resources specialists, including professional plant breeders, gene bank managers, and social scientists. The different perspectives... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Mexico; Oaxaca; Maize; Zea mays; Land race; Germplasm conservation; Plant breeding; Selecting; Innovation adoption; Social welfare; Welfare economics; On farm research; Participatory research; Farm Management. |
| Ano: 2000 |
URL: http://purl.umn.edu/46524 |
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