减少结构估计的复制时间：使用GPU计算成功复制“国际贸易剖析”

IF 1.3 4区经济学 Q2 ECONOMICS

Economic Inquiry Pub Date : 2024-10-24 DOI:10.1111/ecin.13257

Jiatong Zhong

{"title":"减少结构估计的复制时间：使用GPU计算成功复制“国际贸易剖析”","authors":"Jiatong Zhong","doi":"10.1111/ecin.13257","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>Eaton, Kortum, and Kramarz (2011) (EKK) discovered empirical patterns from French manufacturing firms that a baseline firm heterogeneity model could not explain. The authors proposed and estimated a model that closely matches the patterns observed in French data. This paper successfully replicates their findings using author-provided data, re-implementing their algorithms in Python and leveraging graphics processing unit computing to significantly boost computational speed. Applying the model to Chinese manufacturing data, despite differences in context, showed that the model explains most observed patterns well.</p>\n </section>\n </div>","PeriodicalId":51380,"journal":{"name":"Economic Inquiry","volume":"63 2","pages":"424-440"},"PeriodicalIF":1.3000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ecin.13257","citationCount":"0","resultStr":"{\"title\":\"Reducing the replication time for structural estimations: A successful replication of “An Anatomy of International Trade” using GPU computing\",\"authors\":\"Jiatong Zhong\",\"doi\":\"10.1111/ecin.13257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <p>Eaton, Kortum, and Kramarz (2011) (EKK) discovered empirical patterns from French manufacturing firms that a baseline firm heterogeneity model could not explain. The authors proposed and estimated a model that closely matches the patterns observed in French data. This paper successfully replicates their findings using author-provided data, re-implementing their algorithms in Python and leveraging graphics processing unit computing to significantly boost computational speed. Applying the model to Chinese manufacturing data, despite differences in context, showed that the model explains most observed patterns well.</p>\\n </section>\\n </div>\",\"PeriodicalId\":51380,\"journal\":{\"name\":\"Economic Inquiry\",\"volume\":\"63 2\",\"pages\":\"424-440\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ecin.13257\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Inquiry\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ecin.13257\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Inquiry","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ecin.13257","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}

引用次数: 0

摘要

Eaton, Kortum, and Kramarz (2011) （EKK）从法国制造企业中发现了基线企业异质性模型无法解释的经验模式。作者提出并估计了一个与法国数据中观察到的模式密切匹配的模型。本文使用作者提供的数据成功地复制了他们的发现，在Python中重新实现了他们的算法，并利用图形处理单元计算显着提高了计算速度。尽管背景不同，但将该模型应用于中国制造业数据表明，该模型很好地解释了大多数观察到的模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Reducing the replication time for structural estimations: A successful replication of “An Anatomy of International Trade” using GPU computing

查看原文本刊更多论文

Reducing the replication time for structural estimations: A successful replication of “An Anatomy of International Trade” using GPU computing

Eaton, Kortum, and Kramarz (2011) (EKK) discovered empirical patterns from French manufacturing firms that a baseline firm heterogeneity model could not explain. The authors proposed and estimated a model that closely matches the patterns observed in French data. This paper successfully replicates their findings using author-provided data, re-implementing their algorithms in Python and leveraging graphics processing unit computing to significantly boost computational speed. Applying the model to Chinese manufacturing data, despite differences in context, showed that the model explains most observed patterns well.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Economic Inquiry ECONOMICS-

CiteScore

3.80

自引率

5.60%

发文量

期刊介绍： Published since 1962, (formerly Western Economic Journal), EI is widely regarded as one of the top scholarly journals in its field. Besides containing research on all economics topic areas, a principal objective is to make each article understandable to economists who are not necessarily specialists in the article topic area. Nine Nobel laureates are among EI long list of prestigious authors.