This research aims to find out the relationship between each variable of trade and technology absorption and to compare and forecast technology absorption in Thailand by using BVAR and MSBVAR models from 1995 to 2019. To achieved the paper’s goals, the authors assumed that variables are both dependent and independent including gross domestic product per capita (GDP), degree of trade openness (DOT), human development index (HDI), and gross capital formation (CF). For technology absorption, the authors used three proxies to reflect trade and technology absorption, namely manufacturing value added (MVA), the value of high technology exports (TECHEX), and the value of charge for the use of intellectual property payment in the balance of payments (BOP). Consequently, the model was based on the VAR approach since each variable has an equation that explains its evolution based on its lags of the other model variable. Data have been collected from the World Bank and annual reports by government organizations. For analysis of our data, BVAR and MSBVAR were used in this studied. R and Eviews programs were used to estimate and display the result of this study. Our analysis showed that MSBVAR.lag3 is the most suitable to find out the relationship between each variable and to forecast the impact of technology absorption in Thailand.