{"title":"在计量经济学分析中嵌入理论和量化不确定性的概率编程","authors":"Hugo Storm, Thomas Heckelei, Kathy Baylis","doi":"10.1093/erae/jbae016","DOIUrl":null,"url":null,"abstract":"The replication crisis in empirical research calls for a more mindful approach to how we apply and report statistical models. For empirical research to have a lasting (policy) impact, these concerns are crucial. In this paper, we present Probabilistic Programming (PP) as a way forward. The PP workflow with an explicit data-generating process enhances the communication of model assumptions, code testing and consistency between theory and estimation. By simplifying Bayesian analysis, it also offers advantages for the interpretation, communication and modelling of uncertainty. We outline the advantages of PP to encourage its adoption in our community.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probabilistic programming for embedding theory and quantifying uncertainty in econometric analysis\",\"authors\":\"Hugo Storm, Thomas Heckelei, Kathy Baylis\",\"doi\":\"10.1093/erae/jbae016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The replication crisis in empirical research calls for a more mindful approach to how we apply and report statistical models. For empirical research to have a lasting (policy) impact, these concerns are crucial. In this paper, we present Probabilistic Programming (PP) as a way forward. The PP workflow with an explicit data-generating process enhances the communication of model assumptions, code testing and consistency between theory and estimation. By simplifying Bayesian analysis, it also offers advantages for the interpretation, communication and modelling of uncertainty. We outline the advantages of PP to encourage its adoption in our community.\",\"PeriodicalId\":50476,\"journal\":{\"name\":\"European Review of Agricultural Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Review of Agricultural Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1093/erae/jbae016\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Review of Agricultural Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1093/erae/jbae016","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
Probabilistic programming for embedding theory and quantifying uncertainty in econometric analysis
The replication crisis in empirical research calls for a more mindful approach to how we apply and report statistical models. For empirical research to have a lasting (policy) impact, these concerns are crucial. In this paper, we present Probabilistic Programming (PP) as a way forward. The PP workflow with an explicit data-generating process enhances the communication of model assumptions, code testing and consistency between theory and estimation. By simplifying Bayesian analysis, it also offers advantages for the interpretation, communication and modelling of uncertainty. We outline the advantages of PP to encourage its adoption in our community.
期刊介绍:
The European Review of Agricultural Economics serves as a forum for innovative theoretical and applied agricultural economics research.
The ERAE strives for balanced coverage of economic issues within the broad subject matter of agricultural and food production, consumption and trade, rural development, and resource use and conservation. Topics of specific interest include multiple roles of agriculture; trade and development; industrial organisation of the food sector; institutional dynamics; consumer behaviour; sustainable resource use; bioenergy; agricultural, agri-environmental and rural policy; specific European issues.
Methodological articles are welcome. All published papers are at least double peer reviewed and must show originality and innovation. The ERAE also publishes book reviews.