{"title":"在衡量持续和瞬时低效时考虑技术异质性","authors":"Ioannis Skevas","doi":"10.1016/j.econmod.2024.106776","DOIUrl":null,"url":null,"abstract":"<div><p>This article tackles the problem of ignoring firm technology heterogeneity when measuring persistent and transient inefficiencies, which can lead to distorted estimates. Given that firms’ technologies exert a greater influence on long-run rather than short-run management, accounting for technology heterogeneity should prevent distortions in persistent inefficiencies and, to a lesser extent, in transient inefficiencies, which has been overlooked in the literature. Employing data from Dutch dairy farms spanning the years 2009 to 2016, I estimate random and fixed coefficients generalized true random effects models in a Bayesian framework, subsequently comparing the derived inefficiency scores. The findings indicate that average persistent inefficiency and its dispersion are inflated when technology heterogeneity is ignored, whilst transient inefficiency remains virtually unaffected. This finding is crucial to prevent firms and policy-makers from receiving misleading information about long-run performance metrics, whilst highlighting the need for future studies to account for technology heterogeneity when analyzing firms’ decisions.</p></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accounting for technology heterogeneity in the measurement of persistent and transient inefficiency\",\"authors\":\"Ioannis Skevas\",\"doi\":\"10.1016/j.econmod.2024.106776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This article tackles the problem of ignoring firm technology heterogeneity when measuring persistent and transient inefficiencies, which can lead to distorted estimates. Given that firms’ technologies exert a greater influence on long-run rather than short-run management, accounting for technology heterogeneity should prevent distortions in persistent inefficiencies and, to a lesser extent, in transient inefficiencies, which has been overlooked in the literature. Employing data from Dutch dairy farms spanning the years 2009 to 2016, I estimate random and fixed coefficients generalized true random effects models in a Bayesian framework, subsequently comparing the derived inefficiency scores. The findings indicate that average persistent inefficiency and its dispersion are inflated when technology heterogeneity is ignored, whilst transient inefficiency remains virtually unaffected. This finding is crucial to prevent firms and policy-makers from receiving misleading information about long-run performance metrics, whilst highlighting the need for future studies to account for technology heterogeneity when analyzing firms’ decisions.</p></div>\",\"PeriodicalId\":48419,\"journal\":{\"name\":\"Economic Modelling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Modelling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0264999324001329\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999324001329","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Accounting for technology heterogeneity in the measurement of persistent and transient inefficiency
This article tackles the problem of ignoring firm technology heterogeneity when measuring persistent and transient inefficiencies, which can lead to distorted estimates. Given that firms’ technologies exert a greater influence on long-run rather than short-run management, accounting for technology heterogeneity should prevent distortions in persistent inefficiencies and, to a lesser extent, in transient inefficiencies, which has been overlooked in the literature. Employing data from Dutch dairy farms spanning the years 2009 to 2016, I estimate random and fixed coefficients generalized true random effects models in a Bayesian framework, subsequently comparing the derived inefficiency scores. The findings indicate that average persistent inefficiency and its dispersion are inflated when technology heterogeneity is ignored, whilst transient inefficiency remains virtually unaffected. This finding is crucial to prevent firms and policy-makers from receiving misleading information about long-run performance metrics, whilst highlighting the need for future studies to account for technology heterogeneity when analyzing firms’ decisions.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.