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Stata training

Stata Hima Doctoral Training in Economics, Unair was successfully held, strengthened research competencies and supported SDGs of
Surabaya Quality Education, June 26, 2025 - The Doctoral Student Association of Economics, Universitas Airlangga (Hima Die Unair) successfully held a STIATA training on Wednesday and Thursday, 25-26 June 2025, at the 601 room, floor 6, the Faculty of Economics and Business Universitas Airlangga . This activity presents the speaker of Mr. Adrian Chrisnahutama, SE, MSE, a research officer at Monash University Indonesia, Lecturer in the Faculty of Business and Economics, University of Surabaya (Ubaya) and also a Doctoral Student of Economics, Universitas Airlangga .
This activity is designed to increase the capacity of participants in managing and analyzing quantitative data using STATA software, one of the statistics software that is widely used in economic, development and public policy research. This training is part of an effort to strengthen the research skills of doctoral students to produce a sharp and data -based analysis.
On the first day, participants studied the basics of stata gradual use, ranging from exploration and data cleaning (data cleaning), to basic regression techniques. The material is delivered applicatively, so that it is easily followed by participants from various scientific backgrounds.
The second day the training was focused on direct practice through real data -based case studies. Participants are invited to process and analyze microdata such as Susenas (National Socio -Economic Survey) and SDKI (Indonesian Demographic and Health Survey), as well as Macrodata such as the World Development Indicators (WDI) and Worldwide Governance Indicators (WDI) from World Bank. Through this approach, participants can understand how to apply stata to answer empirical problems both at the household, regional and national levels.
This training is also a concrete contribution to Hima Die Unair in supporting the achievement of Sustainable Development Goals (SDGs) Points 4: Quality education, especially in ensuring access to lifelong learning and mastery of analytical skills that are relevant to the academic and work world. By equipping participants with technical expertise in data processing and quantitative modeling, this activity is expected to encourage the birth of a generation of researchers and policy analysts who are reliable, critical, and oriented to evidence.
This STATA training is expected to be a routine agenda that strengthens research -based academic ecosystems within the Docal Sciences of Airlangga University, as well as expanding collaboration with national and international institutions in the development of data -based economics.
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