beyond pt 0 23/1
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beyond pt 0 23/1
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Appendix A<br />
Study methodology, shocks and data<br />
… to my mind, a model is<br />
useless if it is just a black<br />
box where nobody knows<br />
what is in it exce<strong>pt</strong> its<br />
author. Full documentation<br />
is an absolute necessity.<br />
Hargraves, C., ‘A comparison of<br />
the macroeconomic results of the<br />
economy wide models of Australia<br />
in response to a rise in labour<br />
productivity, in EPAC’ (1994)<br />
A.1 Study methodology<br />
A common approach when looking at e-commerce has been to conduct a<br />
survey of business leaders’ views. Drawing on practical experience in this<br />
way can provide some useful data, and indeed, this study has used the<br />
results of some surveys of this nature. Because of the lack of an<br />
underpinning framework, however, a risk with the survey approach is<br />
that it serves to reinforce the conventional wisdom rather than tease out<br />
new insights.<br />
Valuable additional insights can be found from the application of models<br />
based on theoretical frameworks that have been proven to be useful when<br />
looking at similar issues. The problem with this is that many of the<br />
analytical techniques used by economists and public policy practitioners<br />
(including statistical analysis tools and macro economic modelling) are<br />
hamstrung by the absence of reliable data about the issue at hand.<br />
As noted in Cha<strong>pt</strong>er 1, the study combined these two techniques—relying<br />
on the Industry Reference Group (IRG) for expert opinion and to provide<br />
a reality check on the study’s conclusions and using the MONASH model<br />
for the rigorous economic framework.<br />
The IRG’s role was to give the study strategic direction, to provide as<br />
much information as possible about the nature of the impacts of<br />
e-commerce and, as indicated above, to provide a reality check for the<br />
inputs to the model and sectoral reports. The IRG provided strategic<br />
input at the earliest stages of the project to help define the parameters to<br />
be used in the MONASH Model and provided comments at a number of<br />
progress meetings throughout the study process. This was important in<br />
giving the model a more realistic perspective.<br />
The IRG also completed an industry survey, to collect information<br />
germane to both the modelling process and as a primary source of input<br />
for the sectoral reports contained in Part 2.<br />
Through a series of meetings and interviews, IRG members shared their<br />
experience with the study team and assisted in ensuring that the direction<br />
the study took reflected their views about the outlook. IRG members<br />
were also involved in a survey used to assess the implications of<br />
e-commerce for key industry sectors.<br />
A detailed review of alternative economic evaluation techniques<br />
conducted in an earlier scoping study identified that the MONASH model<br />
was the best means of assessing the structural change from e-commerce.<br />
This was because use of the model allowed for straightforward<br />
incorporation of disintermediation and other electronic impacts in a way<br />
that was realistic. It would also allow analysis of detailed sectoral impacts<br />
as well as the flow on effects through the economy at large. It was also<br />
recommended because the modellers that own and operate the model, the<br />
Centre of Policy Studies, have considerable experience with analysis of<br />
these kinds of issues. They operate with a framework that is open and<br />
transparent with the framework having been subject to worldwide peer<br />
assessment through publications in major economic journals.<br />
The key structural assum<strong>pt</strong>ions and techniques used in the MONASH<br />
model are detailed in Appendix B.<br />
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