Abstract
This paper applies the multilevel linear regression (MLM) model to investigate factors that affect international tourists' spending per day when travelling in the northern region of Thailand. Four hundred questionnaires were collected by a convenience sampling method in 9 provinces of northern Thailand (Chiang Mai, Chiang Rai, Lamphun, Lampang, Uttaradit, Pitsanulok, Sukhothai, Kampaeng Phet and Nakonsawan) from October, 2015 to December, 2015. The results represent the mixed affected model which contains significant fixed effect explanatory variables (age, intention of revisit, and the attitude to reuse domestic land transportation) and random variance components, including individual income. In addition, the MLM can explain that the overall international tourists' spending per day in the region level (level 1) statistically depends on the individual income in the province level (level 2).
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