NBER Working Papers by Maxim Pinkovskiy

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Working Papers

January 2014Lights, Camera,... Income!: Estimating Poverty Using National Accounts, Survey Means, and Lights
with Xavier Sala-i-Martin: w19831
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 tha...
February 2010African Poverty is Falling...Much Faster than You Think!
with Xavier Sala-i-Martin: w15775
The conventional wisdom that Africa is not reducing poverty is wrong. Using the methodology of Pinkovskiy and Sala-i-Martin (2009), we estimate income distributions, poverty rates, and inequality and welfare indices for African countries for the period 1970-2006. We show that: (1) African poverty is falling and is falling rapidly; (2) if present trends continue, the poverty Millennium Development Goal of halving the proportion of people with incomes less than one dollar a day will be achieved on time; (3) the growth spurt that began in 1995 decreased African income inequality instead of increasing it; (4) African poverty reduction is remarkably general: it cannot be explained by a large country, or even by a single set of countries possessing some beneficial geographical or historical char...
October 2009Parametric Estimations of the World Distribution of Income
with Xavier Sala-i-Martin: w15433
We use a parametric method to estimate the income distribution for 191 countries between 1970 and 2006. We estimate the World Distribution of Income and estimate poverty rates, poverty counts and various measures of income inequality and welfare. Using the official $1/day line, we estimate that world poverty rates have fallen by 80% from 0.268 in 1970 to 0.054 in 2006. The corresponding total number of poor has fallen from 403 million in 1970 to 152 million in 2006. Our estimates of the global poverty count in 2006 are much smaller than found by other researchers. We also find similar reductions in poverty if we use other poverty lines. We find that various measures of global inequality have declined substantially and measures of global welfare increased by somewhere between 128% and 145%....

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