{"title":"美国和加拿大各省和州个人收入分配的非参数分析","authors":"Yibing Wang","doi":"10.11575/PRISM/18607","DOIUrl":null,"url":null,"abstract":"A nonparametric stochastic kernel and Markov transition probability matrixes are used in this paper to investigate the per capita personal income distribution and how it evolved over the period 1950 - 2000 across the 59 provinces and states in the U.S. and Canada. Empirical evidence confirms club convergence (multi-modality) of the per capita personal income levels across the provinces and states in the U.S. and Canada over the entire study period.","PeriodicalId":39877,"journal":{"name":"Regional and Sectoral Economic Studies","volume":"4 1","pages":"5-24"},"PeriodicalIF":0.0000,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A Nonparametric analysis of the Personal Income Distribution across the Provinces and States in the U.S. and Canada\",\"authors\":\"Yibing Wang\",\"doi\":\"10.11575/PRISM/18607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A nonparametric stochastic kernel and Markov transition probability matrixes are used in this paper to investigate the per capita personal income distribution and how it evolved over the period 1950 - 2000 across the 59 provinces and states in the U.S. and Canada. Empirical evidence confirms club convergence (multi-modality) of the per capita personal income levels across the provinces and states in the U.S. and Canada over the entire study period.\",\"PeriodicalId\":39877,\"journal\":{\"name\":\"Regional and Sectoral Economic Studies\",\"volume\":\"4 1\",\"pages\":\"5-24\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regional and Sectoral Economic Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11575/PRISM/18607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional and Sectoral Economic Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11575/PRISM/18607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
A Nonparametric analysis of the Personal Income Distribution across the Provinces and States in the U.S. and Canada
A nonparametric stochastic kernel and Markov transition probability matrixes are used in this paper to investigate the per capita personal income distribution and how it evolved over the period 1950 - 2000 across the 59 provinces and states in the U.S. and Canada. Empirical evidence confirms club convergence (multi-modality) of the per capita personal income levels across the provinces and states in the U.S. and Canada over the entire study period.
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