This paper offers a social accounting matrix (SAM) based analysis leading to a better
understanding of the way various agents in the real economy interact, the way socioeconomic
groups make their living, the channels through which demand driven
interventions may affect the poor, and the potential growth-poverty-inequality nexus. This
is done in two steps. First, the paper reveals the economic structure of Bangladesh with a
SAM framework where the macro (national accounts and input-output table) and micro
(national surveys) data are juxtaposed under a unified data matrix to portray the meso level
interactions of various economic agents, that is production sectors, factors of production,
household groups, and other institutions. Subsequently, the SAM is used to develop a
multiplier simulation model, which enables tracking and quantifying the nature and extent
of the linkages among the demand driven shocks (stimuli), economic growth, income
generation, and concomitant poverty and distribution implications from the perspective of
different socio-economic groups in Bangladesh.