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Cha<strong>pt</strong>er Five<br />
Sensitivity analysis<br />
How robust are the simulation results to changes in the assum<strong>pt</strong>ions? This<br />
Cha<strong>pt</strong>er reviews sensitivity of the findings to changes in key assum<strong>pt</strong>ions.<br />
The flow on impacts (i.e. the deviations from base case) that are forecast<br />
to result if the economy makes greater use of e-commerce in the way<br />
modelled should be viewed as being fairly robust. They should apply<br />
whatever cyclical changes the economy will in fact experience in the years<br />
ahead. If growth slows down, or accelerates, and is different from<br />
outcomes foreshadowed in the base case in this analysis, the forecast<br />
deviations could still be anticipated. Activity would still be higher than<br />
would be the case if Australia did not ado<strong>pt</strong> e-commerce.<br />
5.1 Different direct impacts<br />
How would the outlook differ if the actual direct changes (or model<br />
shocks) were different?<br />
Experimentation with the model using different settings indicates that the<br />
findings are fairly robust to changes in most of the assumed direct impacts<br />
(or shocks) introduced into the model. The broad picture about the<br />
nature and composition of expected economy-wide impacts do not<br />
change with adjustments in the initial shocks. The main difference is that<br />
the magnitude of the forecast outcomes differs. While the MONASH<br />
model is not a linear model, for reasonably small changes in initial shocks,<br />
the results are generally altered proportionately to the magnitude of<br />
changes in the initial shock.<br />
Readers can anticipate the impact of alterations in starting shocks if they<br />
wish. Cha<strong>pt</strong>er Four contains an indication of the importance to GDP and<br />
economic welfare of each of the 14 sets of shocks used in the e-commerce<br />
change scenario simulation. These indicators can be used for sensitivity<br />
analysis about the flow on impacts. For example, if it is thought that the<br />
initial estimate of the saving of margins by consumers (shock s1) was too<br />
low and that it should be raised by 50 per cent, then it is expected that a<br />
MONASH simulation would generate an extra long-run increase in<br />
consum<strong>pt</strong>ion of 0.09 per cent and in GDP of 0.07 per cent.<br />
It is notable that the analysis has made assum<strong>pt</strong>ions about major<br />
parameters such as the availability of bandwidth at affordable prices. At<br />
this stage it appears likely that this will be obtained. If not, the forecast<br />
impacts will be reduced commensurately with shortfalls in the rate and<br />
extent of widespread ado<strong>pt</strong>ion of e-commerce. 19<br />
Additionally, some readers may view that the analysts have been too<br />
conservative in anticipating a ten year delay until the full effect of<br />
identified changes are felt when it could be achieved in say five years. In<br />
this case, outcomes forecast for 2007 could be achieved as early as 2002.<br />
5.2 Leading and lagging the rest of the world<br />
Even if other countries are quicker in taking up e-commerce than<br />
Australia, Australia would still obtain most of the benefits forecast because<br />
it would still obtain an absolute productivity gain (given that the direct<br />
19 There may be major changes, however, if there are in fact substantial differences in bandwidth and other<br />
support infrastructure in different regions. This is identified as an area to be covered in further work.<br />
37