{"title":"随机前沿生产函数模型的多重共线性解","authors":"Elkin Castaño, S. Gallón","doi":"10.17533/UDEA.LE.N86A01","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of collinearity among inputs in a stochastic frontier production model, an issue that has received little attention in the econometric literature. To address this problem, a principal-component-based solution is proposed, which allows carrying out a joint interpretation of technical efficiency and the technology parameters of the model. Applications of the method to simulated and real data show its usability and effective performance.","PeriodicalId":52205,"journal":{"name":"Lecturas de Economia","volume":"1 1","pages":"9-23"},"PeriodicalIF":0.3000,"publicationDate":"2017-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.17533/UDEA.LE.N86A01","citationCount":"7","resultStr":"{\"title\":\"A solution for multicollinearity in stochastic frontier production function models\",\"authors\":\"Elkin Castaño, S. Gallón\",\"doi\":\"10.17533/UDEA.LE.N86A01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers the problem of collinearity among inputs in a stochastic frontier production model, an issue that has received little attention in the econometric literature. To address this problem, a principal-component-based solution is proposed, which allows carrying out a joint interpretation of technical efficiency and the technology parameters of the model. Applications of the method to simulated and real data show its usability and effective performance.\",\"PeriodicalId\":52205,\"journal\":{\"name\":\"Lecturas de Economia\",\"volume\":\"1 1\",\"pages\":\"9-23\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2017-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.17533/UDEA.LE.N86A01\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lecturas de Economia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17533/UDEA.LE.N86A01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lecturas de Economia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17533/UDEA.LE.N86A01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
A solution for multicollinearity in stochastic frontier production function models
This paper considers the problem of collinearity among inputs in a stochastic frontier production model, an issue that has received little attention in the econometric literature. To address this problem, a principal-component-based solution is proposed, which allows carrying out a joint interpretation of technical efficiency and the technology parameters of the model. Applications of the method to simulated and real data show its usability and effective performance.
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