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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 />

43

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