| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17135 |
| DP17135 The Inequality (or the Growth) we Measure: Data Gaps and the Distribution of Incomes | |
| Facundo Alvaredo; Mauricio De Rosa; Ignacio Flores Beale; Marc Morgan | |
| 发表日期 | 2022-03-24 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Large gaps exist between income estimates from inequality studies and macroeconomic statistics, questioning our representation of flows and the relevance of economic growth. We take stock of these gaps by confronting multiple datasets in Latin America, finding that surveys account for around half of macroeconomic income over the past twenty years. Less than half of this gap is due to conceptual differences, the remainder coming from growing measurement issues, which mainly concern capital incomes. Top tails in administrative data and surveys present diverging averages, especially for non-wage incomes, and different shapes. We discuss implications for both inequality levels and trends. |
| 主题 | Public Economics |
| 关键词 | Income distribution Data gaps Surveys National accounts Administrative data Latin america |
| URL | https://cepr.org/publications/dp17135 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546119 |
| 推荐引用方式 GB/T 7714 | Facundo Alvaredo,Mauricio De Rosa,Ignacio Flores Beale,et al. DP17135 The Inequality (or the Growth) we Measure: Data Gaps and the Distribution of Incomes. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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