{"title":"运输投资的统计能力和生产率效应:批判性评论","authors":"Eivind Tveter, Johan Holmgren","doi":"10.1016/j.retrec.2024.101430","DOIUrl":null,"url":null,"abstract":"<div><p>Numerous studies have attempted to identify how transport investments affect the overall economy. The results of these studies vary considerably. This variation has been explained by factors such as differences in estimation methods as well as differences among countries and sectors. This paper considers another explanation: low statistical power. By revisiting a previous meta-analysis, this paper shows that accounting for statistical power substantially reduces the estimate. Accounting for statistical power also reduces the relevance of estimation methods as well as country and sectoral differences. These results indicate that a larger data set than typically available is required to overcome the issue of low power. The implication of this is that the existing and, perhaps, future studies using macro data are of limited use to policymakers.</p></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"105 ","pages":"Article 101430"},"PeriodicalIF":4.6000,"publicationDate":"2024-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical power and productivity effects of transport investments: A critical review\",\"authors\":\"Eivind Tveter, Johan Holmgren\",\"doi\":\"10.1016/j.retrec.2024.101430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Numerous studies have attempted to identify how transport investments affect the overall economy. The results of these studies vary considerably. This variation has been explained by factors such as differences in estimation methods as well as differences among countries and sectors. This paper considers another explanation: low statistical power. By revisiting a previous meta-analysis, this paper shows that accounting for statistical power substantially reduces the estimate. Accounting for statistical power also reduces the relevance of estimation methods as well as country and sectoral differences. These results indicate that a larger data set than typically available is required to overcome the issue of low power. The implication of this is that the existing and, perhaps, future studies using macro data are of limited use to policymakers.</p></div>\",\"PeriodicalId\":47810,\"journal\":{\"name\":\"Research in Transportation Economics\",\"volume\":\"105 \",\"pages\":\"Article 101430\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Transportation Economics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0739885924000258\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Economics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0739885924000258","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Statistical power and productivity effects of transport investments: A critical review
Numerous studies have attempted to identify how transport investments affect the overall economy. The results of these studies vary considerably. This variation has been explained by factors such as differences in estimation methods as well as differences among countries and sectors. This paper considers another explanation: low statistical power. By revisiting a previous meta-analysis, this paper shows that accounting for statistical power substantially reduces the estimate. Accounting for statistical power also reduces the relevance of estimation methods as well as country and sectoral differences. These results indicate that a larger data set than typically available is required to overcome the issue of low power. The implication of this is that the existing and, perhaps, future studies using macro data are of limited use to policymakers.
期刊介绍:
Research in Transportation Economics is a journal devoted to the dissemination of high quality economics research in the field of transportation. The content covers a wide variety of topics relating to the economics aspects of transportation, government regulatory policies regarding transportation, and issues of concern to transportation industry planners. The unifying theme throughout the papers is the application of economic theory and/or applied economic methodologies to transportation questions.