Where Are All the Jobs ? : A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries

Where Are All the Jobs ? : A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries

Globally, both people and economic activity are increasingly concentrated in urban areas. Yet, for the vast majority of developing country cities, little is known about the granular spatial organization of such activity despite its key importance t...

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Bibliographic Details
Main Authors: Barzin, Samira, Avner, Paolo, Rentschler, Jun, O’Clery, Neave
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2022
Subjects:
DEVELOPMENT ECONOMICS
URBAN ECONOMICS
CITIES
FIRM LOCATIONS
BIG DATA
SATELITE DATA
COMPUTATIONAL METHODS
MACHINE LEARNING
Online Access:http://documents.worldbank.org/curated/en/660611647960970611/Where-Are-All-the-Jobs-A-Machine-Learning-Approach-for-High-Resolution-Urban-Employment-Prediction-in-Developing-Countries
http://hdl.handle.net/10986/37195

Internet

http://documents.worldbank.org/curated/en/660611647960970611/Where-Are-All-the-Jobs-A-Machine-Learning-Approach-for-High-Resolution-Urban-Employment-Prediction-in-Developing-Countries
http://hdl.handle.net/10986/37195

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