Extending the Socio-Economic Status (SES) prediction system based on the Thailand Marketing Research Society (TMRS) standardized SES classification for thai upcountry urban subjects

Abstract

This research proposes an extension to the prediction system of socioeconomic status (SES) by using asset ownership data, that the authors proposed previously on subjects based in Bangkok, to include Thai upcountry urban subjects. The prediction system is based on the standardized SES classification that is proposed by the Thailand Marketing Research Society (TMRS) and widely adopted by marketing research firms in Thailand. The paper describes the TMRS SES classification briefly, proposes a prediction system for Thai upcountry urban subjects based on asset ownership data, and evaluate the performance of the predictor. A mobile application was created for the prediction system.