| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w19831 |
| 来源ID | Working Paper 19831 |
| Lights, Camera,... Income!: Estimating Poverty Using National Accounts, Survey Means, and Lights | |
| Maxim Pinkovskiy; Xavier Sala-i-Martin | |
| 发表日期 | 2014-01-23 |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | In this paper we try to understand whether national accounts GDP per capita or survey mean income or consumption better proxy for true income per capita. We propose a data-driven method to assess the relative quality of GDP per capita versus survey means by comparing the evolution of each series to the evolution of satellite-recorded nighttime lights. Our main assumption, which is robust to a variety of specification checks, is that the measurement error in nighttime lights is unrelated to the measurement errors in either national accounts or survey means. We obtain estimates of weights on national accounts and survey means in an optimal proxy for true income; these weights are very large for national accounts and very modest for survey means. We conclusively reject the null hypothesis that the optimal weight on surveys is greater than the optimal weight on national accounts, and we generally fail to reject the null hypothesis that the optimal weight on surveys is zero. Using the estimated optimal weights, we compute estimates of true income per capita and $1/day poverty rates for the developing world and its regions. We get poverty estimates that are substantially lower and fall substantially faster than those of Chen and Ravallion (2010) or of the survey-based poverty literature more generally. |
| 主题 | Microeconomics ; Market Structure and Distribution ; Macroeconomics ; Development and Growth ; Development ; Growth and Productivity |
| URL | https://www.nber.org/papers/w19831 |
| 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/577506 |
| 推荐引用方式 GB/T 7714 | Maxim Pinkovskiy,Xavier Sala-i-Martin. Lights, Camera,... Income!: Estimating Poverty Using National Accounts, Survey Means, and Lights. 2014. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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