{"title":"Cross-country analysis of aggregate markups and their impact on income inequality.","authors":"Peter Malliaros, W Alejandro Pacheco-Jaramillo","doi":"10.12688/f1000research.160674.4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study investigates the connection between aggregate markups and income inequality, exploring how market power affects inequality in developed, emerging, and developing economies.</p><p><strong>Method: </strong>The study examines data from 12 countries from 1997 to 2016 using a panel data approach. A two-way fixed-effects specification is estimated after panel diagnostics for cross-sectional dependence, model selection, unit roots and cointegration. The analysis focuses on the Gini index, lagged markups, trade openness, GDP per capita, tax revenue and R&D expenditure.</p><p><strong>Results: </strong>Higher lagged markups are associated with greater income inequality, with the relationship particularly relevant for emerging and developing economies. Diagnostic checks support the use of fixed effects over random effects, while unit-root and cointegration tests indicate that the levels model should be interpreted as a long-run relationship rather than as a purely short-run association.</p><p><strong>Conclusion: </strong>The study shows how market power, fiscal redistribution and trade openness interact across diverse economic systems. The findings support competition policy and progressive taxation as complementary tools, while acknowledging that further dynamic panel and error-correction modelling would strengthen causal interpretation.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"184"},"PeriodicalIF":0.0000,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597091/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"F1000Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/f1000research.160674.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 0
Abstract
Background: This study investigates the connection between aggregate markups and income inequality, exploring how market power affects inequality in developed, emerging, and developing economies.
Method: The study examines data from 12 countries from 1997 to 2016 using a panel data approach. A two-way fixed-effects specification is estimated after panel diagnostics for cross-sectional dependence, model selection, unit roots and cointegration. The analysis focuses on the Gini index, lagged markups, trade openness, GDP per capita, tax revenue and R&D expenditure.
Results: Higher lagged markups are associated with greater income inequality, with the relationship particularly relevant for emerging and developing economies. Diagnostic checks support the use of fixed effects over random effects, while unit-root and cointegration tests indicate that the levels model should be interpreted as a long-run relationship rather than as a purely short-run association.
Conclusion: The study shows how market power, fiscal redistribution and trade openness interact across diverse economic systems. The findings support competition policy and progressive taxation as complementary tools, while acknowledging that further dynamic panel and error-correction modelling would strengthen causal interpretation.
F1000ResearchPharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍:
F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.