{"title":"Special issue on non-significant results","authors":"Matthew C. Ringgenberg","doi":"10.1016/j.jcorpfin.2025.102842","DOIUrl":null,"url":null,"abstract":"<div><div>Academic journals are biased towards publishing results that are statistically significant and this bias can lead to incorrect inferences about economic parameters of interest. This special issue was created as a counter to this bias. The issue contains a mix of articles on important economic questions regardless of whether they document statistically significant results. Some of these articles provide evidence that a well-established result in the literature is not reliably confirmed in existing data, some provide novel empirical evidence that a theorized result is not statistically significant, and some of the articles provide methodological improvements to assist future research. In this preface to the special issue, I provide a brief overview of the literature on publication bias and discuss some of the proposed remedies with a goal of improving inference about important economic questions and encouraging academics to pursue research even if the results are not statistically significant.</div></div>","PeriodicalId":15525,"journal":{"name":"Journal of Corporate Finance","volume":"94 ","pages":"Article 102842"},"PeriodicalIF":5.9000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Corporate Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0929119925001105","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Academic journals are biased towards publishing results that are statistically significant and this bias can lead to incorrect inferences about economic parameters of interest. This special issue was created as a counter to this bias. The issue contains a mix of articles on important economic questions regardless of whether they document statistically significant results. Some of these articles provide evidence that a well-established result in the literature is not reliably confirmed in existing data, some provide novel empirical evidence that a theorized result is not statistically significant, and some of the articles provide methodological improvements to assist future research. In this preface to the special issue, I provide a brief overview of the literature on publication bias and discuss some of the proposed remedies with a goal of improving inference about important economic questions and encouraging academics to pursue research even if the results are not statistically significant.
期刊介绍:
The Journal of Corporate Finance aims to publish high quality, original manuscripts that analyze issues related to corporate finance. Contributions can be of a theoretical, empirical, or clinical nature. Topical areas of interest include, but are not limited to: financial structure, payout policies, corporate restructuring, financial contracts, corporate governance arrangements, the economics of organizations, the influence of legal structures, and international financial management. Papers that apply asset pricing and microstructure analysis to corporate finance issues are also welcome.