Umfang:
1 Online-Ressource (circa 58 Seiten)
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ISBN:
9781498302944
Serie:
IMF working paper WP/19, 77
Inhalt:
This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on the country's statistical capacity and the relationship between nighttime lights and true GDP per capita can be nonlinear and vary with geographic location. This paper uses recently developed results for measurement error models to identify and estimate the nonlinear relationship between nighttime lights and true GDP per capita and the nonparametric distribution of errors in official GDP per capita data. We then construct more precise and robust measures of GDP per capita using nighttime lights, official national accounts data, statistical capacity, and geographic locations. We find that GDP per capita measures are less precise for middle and low income countries and nighttime lights can play a bigger role in improving such measures
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Hu, Yingyao Illuminating Economic Growth Washington, D.C. : International Monetary Fund, 2019 ISBN 9781498302944
Sprache:
Englisch
Schlagwort(e):
Graue Literatur
DOI:
10.5089/9781498302944.001
URL:
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