| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28229 |
| 来源ID | Working Paper 28229 |
| The Accuracy of Tax Imputations: Estimating Tax Liabilities and Credits Using Linked Survey and Administrative Data | |
| Bruce D. Meyer; Derek Wu; Grace Finley; Patrick Langetieg; Carla Medalia; Mark Payne; Alan Plumley | |
| 发表日期 | 2020-12-21 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | This paper calculates accurate estimates of income and payroll taxes using a groundbreaking set of linked survey and administrative tax data that are part of the Comprehensive Income Dataset (CID). We compare our estimates to survey imputations produced by the Census Bureau and those generated using the TAXSIM calculator from the National Bureau of Economic Research. The administrative data include two sets of Internal Revenue Service (IRS) data: (1) a limited set of tax information for the population of individual income tax returns covering selected line items from Forms 1040, W-2, and 1099-R; and (2) an extensive set of population tax records processed by the IRS in 2011, covering nearly every line item on Form 1040 and most lines on a series of third-party information returns. We link these IRS records to the Current Population Survey Annual Social and Economic Supplement (CPS) for reference year 2010. We describe how we form tax units and estimate various types of tax liabilities and credits using these linked data, providing a roadmap for constructing accurate measures of taxes while preserving the survey family as the sharing unit for distributional analyses. We find that aggregate estimates of various tax components using the limited and extensive tax data estimates are close to each other and much closer to public IRS tabulations than either of the imputations using survey data alone. At the individual level, the absolute errors of survey-only imputations of federal income taxes and total taxes are on average 10% and 13%, respectively, of adjusted gross income. In contrast, the limited tax data imputations yield mean absolute errors for federal income taxes and total taxes that are about 2% and 3% of adjusted gross income, respectively. For the Earned Income Tax Credit, the limited tax data imputation is off by less than $20 on average for a typical family (compared to more than $500 using either of the survey-only imputations). |
| 主题 | Econometrics ; Estimation Methods ; Data Collection ; Public Economics ; Taxation ; Health, Education, and Welfare ; Poverty and Wellbeing |
| URL | https://www.nber.org/papers/w28229 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585903 |
| 推荐引用方式 GB/T 7714 | Bruce D. Meyer,Derek Wu,Grace Finley,et al. The Accuracy of Tax Imputations: Estimating Tax Liabilities and Credits Using Linked Survey and Administrative Data. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w28229.pdf（1468KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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