(Hima Ie News) Mastery of statistical software is an essential skill for economic students, in the current era of data-driven. To support the increase in the capacity of micro data analysis, the Economics Student Association (HIMA S1 IE) Faculty of Economics and Business, Universitas Airlangga (FEB Unair) in collaboration with the Research Institute of Socio-Economic Development (RISED) held a training entitled "Utilization of Propensity Score Matching (PSM) in the analysis of Susenas data using the Stata application" on Saturday and Sunday, May 17-18, 2025. Zoom Meetings platform.
This training presented the main resource person M. Fajar Rakhmadi, SE, M.Ec., Director of Rised, who guided participants in understanding the concepts and application of the Propensity Score Matching (PSM) method to evaluate policy impacts. Participants are also invited to practice directly the use of STATA, one of the statistics software that is widely used by researchers and policy analysts.
The activity began with a remarks from the Coordinator of the S1 Economics Study Program Feb Unair, Mr. Rumayya, SE, M.Reg.Dev., Ph.D., and Chairman of Hima IE, Atha Zaky Handika. In his remarks, both of them expressed the hope that students could use this training as a provision to compile strong research methodologically, especially in utilizing macro and micro data that were available nationally.
During the training session, participants were introduced to the Susenas Data (National Socio -Economic Survey) which is one of the important data sources owned by the Central Statistics Agency (BPS). Participants get learning starting from how to access and understand the structure of Susenas data variables, conduct data cleaning , to analyze it using the PSM approach.
The training took place interactive with quiz insertion and case study. In a case study session, participants conducted a simulation of the impact of a government program using a Susenas data -based PSM approach. The enthusiasm of participants can be seen from the high participation and the number of technical questions regarding the use of syntax , selection of variables in the PSM model, to the interpretation of the results of the analysis.
As a form of appreciation, the training was closed with awards in the form of a digital wallet balance to participants with the best quiz value. In addition, participants were also asked to fill in the evaluation questionnaire as input for the development of further activities.
This activity reflects the commitment of HIMA S1 IE in strengthening the capacity of research and data literacy among students. Through strategic collaboration with Rised, this training is a concrete step in equipping the younger generation with relevant skills for the development of data -based national policy and development research.
