Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/242574 
Erscheinungsjahr: 
2020
Schriftenreihe/Nr.: 
Economics Working Paper Series No. 2020/02
Verlag: 
Auckland University of Technology (AUT), Faculty of Business, Economics and Law, Auckland
Zusammenfassung: 
We evaluate the usefulness of satellite-based data on night-time lights for forecasting GDP growth across a global sample of countries, proposing innovative location-based indicators to extract new predictive information from the lights data. Our findings are generally favorable to the use of night lights data to improve the accuracy of model-based forecasts. We also find a substantial degree of heterogeneity across countries in the relationship between lights and economic activity: individually-estimated models tend to outperform panel specifications. Key factors underlying the night lights performance include the country's size and income level, logistics infrastructure, and the quality of national statistics.
Schlagwörter: 
night lights
remote sensing
big data
business cycles
leading indicators
JEL: 
C55
C82
E01
E37
R12
Dokumentart: 
Working Paper

Datei(en):
Datei
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