{"title":"随机前沿分析模型错配的影响:一种模拟方法","authors":"A. Meesters","doi":"10.2139/ssrn.1625815","DOIUrl":null,"url":null,"abstract":"This paper examines the influence of misspecification in stochastic frontier analysis (SFA) models. It explores the impact of misspecification on frontier and efficiency estimates as well as efficiency scores. Using a simulation approach with several data generating processes the general findings are that variables for which is assumed that they influence technology/heterogeneity should also be included as variables that influence efficiency and the other way around.","PeriodicalId":364869,"journal":{"name":"ERN: Simulation Methods (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Influence of Misspecification in Stochastic Frontier Analysis Models: A Simulation Approach\",\"authors\":\"A. Meesters\",\"doi\":\"10.2139/ssrn.1625815\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the influence of misspecification in stochastic frontier analysis (SFA) models. It explores the impact of misspecification on frontier and efficiency estimates as well as efficiency scores. Using a simulation approach with several data generating processes the general findings are that variables for which is assumed that they influence technology/heterogeneity should also be included as variables that influence efficiency and the other way around.\",\"PeriodicalId\":364869,\"journal\":{\"name\":\"ERN: Simulation Methods (Topic)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Simulation Methods (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1625815\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Simulation Methods (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1625815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Influence of Misspecification in Stochastic Frontier Analysis Models: A Simulation Approach
This paper examines the influence of misspecification in stochastic frontier analysis (SFA) models. It explores the impact of misspecification on frontier and efficiency estimates as well as efficiency scores. Using a simulation approach with several data generating processes the general findings are that variables for which is assumed that they influence technology/heterogeneity should also be included as variables that influence efficiency and the other way around.
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