The advanced course on SUT/SAM multiplier modeling is an extension of the Input-Output and Supply and Use (I-O/SUT) Multiplier modeling course. The main objective of this course is to equip participants with advanced analytical skills in SUT/SAM Multiplier modeling and policy analysis. Two datasets will be used in this course: the Supply and Use Tables (SUT) and the Social Accounting Matrix (SAM). This course is also extended to labor market analysis. The participants are exposed to the economic blocks used in developing SUTs and SAMs and how to assess the respective price effects. The course discusses the theoretical formulation of multiplier models and their applications on SUTs and SAMs. In this course, large/extended SUT and SAM are used. The course is designed for policy analysts and researchers in government, statistical offices, central banks, academia and international organizations engaged in policy guidance. It is mandatory for prospective participants to have completed the introductory course in I-O/SUT Multiplier analysis or to have had extensive exposure to matrix analysis or national accounts. The course is delivered in five modules as follows.
The course is delivered through an intensive, hands-on approach in which participants systematically build the SUT price model and a SAM multiplier model (both constrained and unconstrained) over the duration of the training. The programme is highly sequential, requiring full attendance at all sessions, as each step builds directly on the previous one. Participants work in teams to enhance peer learning and methodological coherence, while each participant is required to have an individual laptop and mouse for practical implementation. By the end of the course, each team presents policy simulation results generated from their model.
For the online delivery option, participants are required to submit all assignments within the stipulated timelines to ensure completion within the scheduled period, as extensions may incur additional facilitation costs.
To apply for this course, fill in the form below or send an email to:
[email protected] or [email protected].