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Application of Multiple Imputation in Dealing with Missing Data in Agricultural Surveys: The Case of BMP Adoption
Missing-data problems are common in farmer surveys but are often ignored in the literature. Conventional methods to address missing data, such as deletion and mean replacement, assume that data are missing completely at random, which rarely holds. This study compares these approaches to the multiple...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Western Agricultural Economics Association
2018-01-01
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| Colecção: | Journal of Agricultural and Resource Economics |
| Assuntos: | |
| Acesso em linha: | https://ageconsearch.umn.edu/record/267611 |
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