{"title":"具有横截面依赖性的面板数据模型的公共财政可持续性:对巴西各州的分析","authors":"Eduardo Lima Campos, Rubens Penha Cysne","doi":"10.1590/0103-6351/7588","DOIUrl":null,"url":null,"abstract":"Abstract This study investigates the sustainability of Brazilian states’ public finances with quarterly revenue and expenses data from 2006 to 2020, aimed at the identification of groups of states that share similar patterns. The technique adopted is a panel data model that avoids mistaken inferences by controlling for cross-dependence among states. We find two clear patterns, from which we identify a fiscally sustainable group of only 9 states and an unsustainable group, comprising the remaining ones.","PeriodicalId":35209,"journal":{"name":"Nova Economia","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Public finances sustainability by panel data models with cross-sectional dependence: analysis of Brazilian states\",\"authors\":\"Eduardo Lima Campos, Rubens Penha Cysne\",\"doi\":\"10.1590/0103-6351/7588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This study investigates the sustainability of Brazilian states’ public finances with quarterly revenue and expenses data from 2006 to 2020, aimed at the identification of groups of states that share similar patterns. The technique adopted is a panel data model that avoids mistaken inferences by controlling for cross-dependence among states. We find two clear patterns, from which we identify a fiscally sustainable group of only 9 states and an unsustainable group, comprising the remaining ones.\",\"PeriodicalId\":35209,\"journal\":{\"name\":\"Nova Economia\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nova Economia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/0103-6351/7588\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nova Economia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/0103-6351/7588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Public finances sustainability by panel data models with cross-sectional dependence: analysis of Brazilian states
Abstract This study investigates the sustainability of Brazilian states’ public finances with quarterly revenue and expenses data from 2006 to 2020, aimed at the identification of groups of states that share similar patterns. The technique adopted is a panel data model that avoids mistaken inferences by controlling for cross-dependence among states. We find two clear patterns, from which we identify a fiscally sustainable group of only 9 states and an unsustainable group, comprising the remaining ones.
Nova EconomiaEconomics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.60
自引率
0.00%
发文量
11
审稿时长
53 weeks
期刊介绍:
Nova Economia is the journal of the Economics Department at Universidade Federal de Minas Gerais (Brazil). It publishes articles and book reviews in all areas of economics and related disciplines. Nova Economia adopts a pluralistic orientation and welcomes papers in all research traditions and theoretical schools. Submisssions are peer-reviewed and scholarly standards are the sole criteria for editorial decisions. Nova Economia is published three times a year and offers free on-line access to the full articles published from 2000 on.