{"title":"当盈利反应迟缓时,估计应税收入的弹性","authors":"T. Vattø","doi":"10.1628/FA-2020-0012","DOIUrl":null,"url":null,"abstract":"Estimates of the elasticity of taxable income (ETI) is conventionally obtained by “stacking” three-year overlapping differences in the estimation. In effect, this means that the ETI estimate is an average of first-, second-, and third-year effects. The present paper draws attention to this implication and suggests that if there is gradual adjustment the analyst should rather estimate the ETI by a dynamic panel data model. When using Norwegian income tax return data for wage earners over a 14-year period (1995−2008) in the estimation, an ETI estimate of 0.15 is obtained from the dynamic specification, compared to 0.11 for the conventional approach. Importantly, the conventional approach fails to render a long-term elasticity estimate by increasing the time span of each difference.","PeriodicalId":45063,"journal":{"name":"Finanzarchiv","volume":"20 1","pages":"329"},"PeriodicalIF":0.6000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimating the Elasticity of Taxable Income When Earnings Responses Are Sluggish\",\"authors\":\"T. Vattø\",\"doi\":\"10.1628/FA-2020-0012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimates of the elasticity of taxable income (ETI) is conventionally obtained by “stacking” three-year overlapping differences in the estimation. In effect, this means that the ETI estimate is an average of first-, second-, and third-year effects. The present paper draws attention to this implication and suggests that if there is gradual adjustment the analyst should rather estimate the ETI by a dynamic panel data model. When using Norwegian income tax return data for wage earners over a 14-year period (1995−2008) in the estimation, an ETI estimate of 0.15 is obtained from the dynamic specification, compared to 0.11 for the conventional approach. Importantly, the conventional approach fails to render a long-term elasticity estimate by increasing the time span of each difference.\",\"PeriodicalId\":45063,\"journal\":{\"name\":\"Finanzarchiv\",\"volume\":\"20 1\",\"pages\":\"329\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finanzarchiv\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1628/FA-2020-0012\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finanzarchiv","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1628/FA-2020-0012","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Estimating the Elasticity of Taxable Income When Earnings Responses Are Sluggish
Estimates of the elasticity of taxable income (ETI) is conventionally obtained by “stacking” three-year overlapping differences in the estimation. In effect, this means that the ETI estimate is an average of first-, second-, and third-year effects. The present paper draws attention to this implication and suggests that if there is gradual adjustment the analyst should rather estimate the ETI by a dynamic panel data model. When using Norwegian income tax return data for wage earners over a 14-year period (1995−2008) in the estimation, an ETI estimate of 0.15 is obtained from the dynamic specification, compared to 0.11 for the conventional approach. Importantly, the conventional approach fails to render a long-term elasticity estimate by increasing the time span of each difference.