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来源类型Working Paper
规范类型报告
DOI10.3386/w19831
来源IDWorking 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
URLhttps://www.nber.org/papers/w19831
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577506
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GB/T 7714
Maxim Pinkovskiy,Xavier Sala-i-Martin. Lights, Camera,... Income!: Estimating Poverty Using National Accounts, Survey Means, and Lights. 2014.
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