Predicting well-being based on features visible from space – the case of Warsaw
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"Night lights and regional GDP,"
Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(2), pages 425-447, May.
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Cited by:
- Federico Ninivaggi & Eleonora Cutrini, 2024. "Exploring local well-being and vulnerability through OpenStreetMap: the case of Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3435-3473, August.
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More about this item
Keywords
well-being; economic indicators; Open Street Map; satellite images; Warsaw;All these keywords.
JEL classification:
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-11-30 (Big Data)
- NEP-CMP-2020-11-30 (Computational Economics)
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