中文版 | English
Title

Practical operation and theoretical basis of difference-in-difference regression in science of science: The comparative trial on the scientific performance of Nobel laureates versus their coauthors

Author
Corresponding AuthorMa, Yifang
Publication Years
2023-02-01
DOI
Source Title
ISSN
2096-157X
EISSN
2543-683X
Volume8Issue:1
Abstract
Purpose: In recent decades, with the availability of large-scale scientific corpus datasets, difference-in-difference (DID) is increasingly used in the science of science and bibliometrics studies. DID method outputs the unbiased estimation on condition that several hypotheses hold, especially the common trend assumption. In this paper, we gave a systematic demonstration of DID in the science of science, and the potential ways to improve the accuracy of DID method.Design/methodology/approach: At first, we reviewed the statistical assumptions, the model specification, and the application procedures of DID method. Second, to improve the necessary assumptions before conducting DID regression and the accuracy of estimation, we introduced some matching techniques serving as the pre-selecting step for DID design by matching control individuals who are equivalent to those treated ones on observational variables before the intervention. Lastly, we performed a case study to estimate the effects of prizewinning on the scientific performance of Nobel laureates, by comparing the yearly citation impact after the prizewinning year between Nobel laureates and their prizewinning-work coauthors.Findings: We introduced the procedures to conduct a DID estimation and demonstrated the effectiveness to use matching method to improve the results. As a case study, we found that there are no significant increases in citations for Nobel laureates compared to their prizewinning coauthors.Research limitations: This study ignored the rigorous mathematical deduction parts of DID, while focused on the practical parts.Practical implications: This work gives experimental practice and potential guidelines to use DID method in science of science and bibliometrics studies.Originality/value: This study gains insights into the usage of econometric tools in science of science.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
National Natural Science Foundation of China["NSFC62006109","NSFC12031005"]
WOS Research Area
Information Science & Library Science
WOS Subject
Information Science & Library Science
WOS Accession No
WOS:000943670000005
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/513424
DepartmentDepartment of Statistics and Data Science
Affiliation
Southern Univ Sci & Technol, Dept Stat & Data Sci, Shenzhen 518055, Guangdong, Peoples R China
First Author AffilicationDepartment of Statistics and Data Science
Corresponding Author AffilicationDepartment of Statistics and Data Science
First Author's First AffilicationDepartment of Statistics and Data Science
Recommended Citation
GB/T 7714
Huang, Yurui,Tian, Chaolin,Ma, Yifang. Practical operation and theoretical basis of difference-in-difference regression in science of science: The comparative trial on the scientific performance of Nobel laureates versus their coauthors[J]. Journal of Data and Information Science,2023,8(1).
APA
Huang, Yurui,Tian, Chaolin,&Ma, Yifang.(2023).Practical operation and theoretical basis of difference-in-difference regression in science of science: The comparative trial on the scientific performance of Nobel laureates versus their coauthors.Journal of Data and Information Science,8(1).
MLA
Huang, Yurui,et al."Practical operation and theoretical basis of difference-in-difference regression in science of science: The comparative trial on the scientific performance of Nobel laureates versus their coauthors".Journal of Data and Information Science 8.1(2023).
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