Decision makers who choose policy affecting future economic performanc
e are often confronted with two types of information intended to aid t
he decision process. The first type of information, from input-output
analysis, is usually presented in the form of industry multipliers aim
ed at measuring the economic impact of one sector relative to another
and thus determining a ranking of industries. The second form of infor
mation is derived from time-series analysis and used to predict future
economic performance. Here, forecasted growth rates of industrial out
put are compared, thus allowing another form of ranking. We propose th
at although this information is beneficial to the economic planner, it
creates controversial and inconsistent rankings of industries. Instea
d, we present an integrated method of analysing economic performance w
hich, through the use of a combined econometric input-output model, ex
amines the interactions between industry multipliers and output growth
rates over time.