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Report
Newer need not be better: evaluating the Penn World Tables and the World Development Indicators using nighttime lights
Nighttime lights data are a measure of economic activity whose measurement error is plausibly independent of the errors of most conventional indicators. Therefore, we can use nighttime lights as an independent benchmark to assess existing measures of economic activity (Pinkovskiy and Sala-i-Martin 2016). We employ this insight to find out which vintages of the Penn World Tables (PWT) and of the World Development Indicators (WDI) better estimate true income per capita. We find that revisions of the PWT do not necessarily dominate their predecessors in terms of explaining nighttime lights (and ...
Report
Africa is on time
We present evidence that the recent African growth renaissance has reached Africa?s poor. Using survey data on African income distributions and national accounts GDP, we estimate income distributions, poverty rates, and inequality indices for African countries for the period 1990-2011. Our findings are as follows. First, African poverty is falling rapidly. Second, the African countries for which good inequality data exist are set to reach the Millennium Development Goal (MDG) poverty reduction target on time. The entire continent except for the Democratic Republic of Congo (DRC) will reach ...
Discussion Paper
Is Chinese Growth Overstated?
For analysts of the Chinese economy, questions about the accuracy of the country’s official GDP data are a frequent source of angst, leading many to seek guidance from alternative indicators. These nonofficial gauges often suggest Beijing’s growth figures are exaggerated, but that conclusion is not supported by our analysis, which draws upon satellite measurements of the intensity of China’s nighttime light emissions—a good proxy for GDP growth that is presumably not subject to whatever measurement errors may affect the country’s official economic statistics.
Conference Paper
The optimum quantity of money: theory and evidence
Report
Lights, camera,...income! Estimating poverty using national accounts, survey means, and lights
In this paper, we try to understand whether measures of GDP per capita taken from national accounts or measures of mean income or consumption derived from household surveys 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 ...