Memodelkan Impor Beras Menggunakan Regresi Data Panel

Rice is one of the world’s most important commodities. The Food and Agricultural Organizations estimates about 90 percent of the world’s rice is produced by countries in the Asian continent with the ri- ce production centers located in the ASEAN region. As an agricultural country, Indonesia is ranked third in the world rice producers after Chi- na and India, and in the first rank of ASEAN rice producers. However, Indonesia along with other producing countries in ASEAN also import rice. This article aims to model rice imports from 5 ASEAN countries. Using data from FAO for the period 2009–2018, 3 types of Panel Data Regression models were applied to model rice imports. The results of the analysis show Random E?ect Model (REM) is the most appropriate mo- del for rice imports in 5 ASEAN countries with the di?erence for two consecutive years import, consumption, and rice production was used as explanatory variables.