{"title":"Is the supermultiplier currently nil? - A replication study of Deleidi and Mazzucato (2021)","authors":"Jens Boysen-Hogrefe","doi":"10.1016/j.respol.2025.105176","DOIUrl":null,"url":null,"abstract":"<div><div>Analyzing US macro data via a structural vector-autoregressive model (SVAR), Deleidi and Mazzucato (2021) find strong positive spillovers from mission-oriented government spending on private research and development, as well as on overall economic activity (“crowding in”). Deleidi and Mazzucato apply the SVAR to first-differenced data despite the possibility of cointegration. The replication shows that the result hinges on the transformation of the data and the choice of the sample period. The time variation of the estimation results is substantial. When estimating the model with data starting after 1985, the results point to a temporary “crowding out” of private research and development spending.</div></div>","PeriodicalId":48466,"journal":{"name":"Research Policy","volume":"54 3","pages":"Article 105176"},"PeriodicalIF":7.5000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Policy","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048733325000058","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Analyzing US macro data via a structural vector-autoregressive model (SVAR), Deleidi and Mazzucato (2021) find strong positive spillovers from mission-oriented government spending on private research and development, as well as on overall economic activity (“crowding in”). Deleidi and Mazzucato apply the SVAR to first-differenced data despite the possibility of cointegration. The replication shows that the result hinges on the transformation of the data and the choice of the sample period. The time variation of the estimation results is substantial. When estimating the model with data starting after 1985, the results point to a temporary “crowding out” of private research and development spending.
期刊介绍:
Research Policy (RP) articles explore the interaction between innovation, technology, or research, and economic, social, political, and organizational processes, both empirically and theoretically. All RP papers are expected to provide insights with implications for policy or management.
Research Policy (RP) is a multidisciplinary journal focused on analyzing, understanding, and effectively addressing the challenges posed by innovation, technology, R&D, and science. This includes activities related to knowledge creation, diffusion, acquisition, and exploitation in the form of new or improved products, processes, or services, across economic, policy, management, organizational, and environmental dimensions.