Publicação
An Approach to Variable Aggregation in Efficiency Analysis
| Resumo: | In the nonparametric framework of Data Envelopment Analysis the statistical properties of its estimators have been investigated and only asymptotic results are available. For DEA estimators results of practical use have been proved only for the case of one input and one output. However, in the real world problems the production process is usually well described by many variables. In this paper a machine learning approach to variable aggregation based on Canonical Correlation Analysis is presented. This approach is applied for efficiency estimation of all the farms in Terceira Island of the Azorean archipelago. |
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| Autores principais: | Noncheva, Veska |
| Outros Autores: | Mendes, Armando B.; Silva, Emiliana |
| Assunto: | Canonical Correlation Analysis Data Envelopment Analysis Efficiency Variable Aggregation Multivariate Statistics Data Mining |
| Ano: | 2009 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade dos Açores |
| Idioma: | inglês |
| Origem: | Repositório da Universidade dos Açores |
| Resumo: | In the nonparametric framework of Data Envelopment Analysis the statistical properties of its estimators have been investigated and only asymptotic results are available. For DEA estimators results of practical use have been proved only for the case of one input and one output. However, in the real world problems the production process is usually well described by many variables. In this paper a machine learning approach to variable aggregation based on Canonical Correlation Analysis is presented. This approach is applied for efficiency estimation of all the farms in Terceira Island of the Azorean archipelago. |
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