Douglas Uemura Nunes, Naercio Menezes-Filho, B. Komatsu
{"title":"Probabilidades de admissão e desligamento no mercado de trabalho brasileiro","authors":"Douglas Uemura Nunes, Naercio Menezes-Filho, B. Komatsu","doi":"10.1590/0101-416146222DNB","DOIUrl":null,"url":null,"abstract":"This paper evaluates the probabilities of admission and dismissal in the Brazilian labor market, and measures its contribution to the variability of the unemployment rate in the country. It uses a new methodology, which allows obtaining the probabilities through stocks of employed and unemployed correcting the time aggregation bias. We found that for the period of 1983 to 2001, the oscillations of the rate of admission were responsible for 75% of the variability in the unemployment rate in major metropolitan areas of Brazil. Between 2004 and 2013 that rate explains 80% of those variations.","PeriodicalId":43766,"journal":{"name":"Estudios De Economia","volume":"12 1","pages":"311-341"},"PeriodicalIF":0.4000,"publicationDate":"2016-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Estudios De Economia","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1590/0101-416146222DNB","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 6
Abstract
This paper evaluates the probabilities of admission and dismissal in the Brazilian labor market, and measures its contribution to the variability of the unemployment rate in the country. It uses a new methodology, which allows obtaining the probabilities through stocks of employed and unemployed correcting the time aggregation bias. We found that for the period of 1983 to 2001, the oscillations of the rate of admission were responsible for 75% of the variability in the unemployment rate in major metropolitan areas of Brazil. Between 2004 and 2013 that rate explains 80% of those variations.