{"title":"收入不平等的非线性和跨国依赖性","authors":"Tuomas Malinen, Leena Kalliovirta","doi":"10.2139/ssrn.2438361","DOIUrl":null,"url":null,"abstract":"We use top income data and the newly developed regime switching Gaussian mixture vector autoregressive model to explain the dynamics of income inequality in developed economies during the last 100 years. Our results indicate that the process of income inequality consists of two equilibriums identifiable by high inequality, high variance and low inequality, low variance. Our results also show that income inequality in the US is the driver of changes in income inequality in other developed economies.","PeriodicalId":346888,"journal":{"name":"PSN: Income Inequality (Topic)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Nonlinearity and Cross-Country Dependence of Income Inequality\",\"authors\":\"Tuomas Malinen, Leena Kalliovirta\",\"doi\":\"10.2139/ssrn.2438361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use top income data and the newly developed regime switching Gaussian mixture vector autoregressive model to explain the dynamics of income inequality in developed economies during the last 100 years. Our results indicate that the process of income inequality consists of two equilibriums identifiable by high inequality, high variance and low inequality, low variance. Our results also show that income inequality in the US is the driver of changes in income inequality in other developed economies.\",\"PeriodicalId\":346888,\"journal\":{\"name\":\"PSN: Income Inequality (Topic)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PSN: Income Inequality (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2438361\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PSN: Income Inequality (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2438361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlinearity and Cross-Country Dependence of Income Inequality
We use top income data and the newly developed regime switching Gaussian mixture vector autoregressive model to explain the dynamics of income inequality in developed economies during the last 100 years. Our results indicate that the process of income inequality consists of two equilibriums identifiable by high inequality, high variance and low inequality, low variance. Our results also show that income inequality in the US is the driver of changes in income inequality in other developed economies.