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Nutchapon Prasertsoong

Personal Details

First Name:Nutchapon
Middle Name:
Last Name:Prasertsoong
Suffix:
RePEc Short-ID:ppr557
[This author has chosen not to make the email address public]

Affiliation

Faculty of Economics
Thammasat University

Bangkok, Thailand
http://www.econ.tu.ac.th/
RePEc:edi:fectuth (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Nattapong Puttanapong & Nutchapon Prasertsoong & Wichaya Peechapat, 2023. "Predicting Provincial Gross Domestic Product Using Satellite Data and Machine Learning Methods: A Case Study of Thailand," Asian Development Review (ADR), World Scientific Publishing Co. Pte. Ltd., vol. 40(02), pages 39-85, September.
  2. Nutchapon Prasertsoong & Nattapong Puttanapong, 2022. "Regional Wage Differences and Agglomeration Externalities: Micro Evidence from Thai Manufacturing Workers," Economies, MDPI, vol. 10(12), pages 1-22, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Nattapong Puttanapong & Nutchapon Prasertsoong & Wichaya Peechapat, 2023. "Predicting Provincial Gross Domestic Product Using Satellite Data and Machine Learning Methods: A Case Study of Thailand," Asian Development Review (ADR), World Scientific Publishing Co. Pte. Ltd., vol. 40(02), pages 39-85, September.

    Cited by:

    1. Christopher Kuruvilla Mathen & Siddhartha Chattopadhyay & Sohini Sahu & Abhijit Mukherjee, 2025. "Economic inequality and crime across cities in India: Evidence using nighttime lights data," PLOS ONE, Public Library of Science, vol. 20(8), pages 1-13, August.
    2. GIBSON, John & ZHANG, Xiaoxuan & PARK, Albert & YI, Jiang & XI, Li, 2024. "Remotely measuring rural economic activity and poverty : Do we just need better sensors?," CEI Working Paper Series 2023-08, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    3. Hussein Suleiman & Minh-Thu Thi Nguyen & Carlos Mendez, 2025. "Predicting subnational GDP in Vietnam with remote sensing data: a machine learning approach," Letters in Spatial and Resource Sciences, Springer, vol. 18(1), pages 1-12, December.
    4. Daniel Musafiri Balungu & Avinash Kumar, 2024. "Forecasting The Economic Growth of Sverdlovsk Region: A Comparative Analysis of Machine Learning, Linear Regression and Autoregressive Models," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(3), pages 674-695.

  2. Nutchapon Prasertsoong & Nattapong Puttanapong, 2022. "Regional Wage Differences and Agglomeration Externalities: Micro Evidence from Thai Manufacturing Workers," Economies, MDPI, vol. 10(12), pages 1-22, December.

    Cited by:

    1. Binkai Xu & Yanming Sun, 2023. "The Impact of Industrial Agglomeration on Urban Land Green Use Efficiency and Its Spatio-Temporal Pattern: Evidence from 283 Cities in China," Land, MDPI, vol. 12(4), pages 1-19, April.

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