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Picard<br />

The Government Accountability Office reviewed the current knowledge on the economic<br />

effects of counterfeiting and piracy. It concluded that three widely cited U.S. Government<br />

estimates of economic losses resulting from counterfeiting could not be substantiated due to<br />

the absence of underlying studies and highlighted the difficulties of coming up with reliable<br />

estimates on the global extent and impact of counterfeiting. The GAO review concluded that<br />

no single approach for quantifying impacts of counterfeiting and piracy can be used.<br />

As early as 2002, a report for the European Commission had already established that<br />

“although many existing estimates of the size of the counterfeiting and piracy problems are<br />

based on extrapolating from the number of seizures, arrests or convictions made by enforcement<br />

agencies, we do not recommend this approach except in rare circumstances.” The only<br />

exceptions are when the detection rate is known to be high (over 75 percent) or can be known<br />

with confidence. In practice, those conditions are virtually never met. This same report develops<br />

a detailed methodology to estimate counterfeiting for each of 19 different industries, including<br />

an estimate of the costs. Unfortunately, there was no followup to the report.<br />

The fundamental difficulty with estimating counterfeiting is that the brand owners are best<br />

positioned to know the significance and prevalence of the issue, or how to differentiate genuine<br />

articles from counterfeits. Generally speaking, however, the industry is unwilling to share the<br />

data it has collected, even though this is harming public health, consumers, and its own longterm<br />

interests. Industry associations, which have an interest in boasting large numbers, publicize<br />

estimates but often without any supporting methodology or access to underlying data.<br />

The Business Software Alliance (BSA) is one of the exceptions, as it publishes a detailed<br />

report annually on software piracy and has developed a methodology to measure the amount of<br />

counterfeit software. The BSA reaches its figure on the amount of unlicensed software by estimating<br />

how much personal computer software was deployed in a given year, estimating how much was<br />

paid for or otherwise legally acquired during the year, and then subtracting one from the other.<br />

The difference between these two quantities corresponds to the commercial value of installed<br />

illicit software, which was valued at $59 billion for 2010. 25 The BSA does not attempt, however,<br />

to relate the official retail value of pirated software to the actual losses of the software industry.<br />

Interestingly, this technique of differentials is somewhat analogous to such methods as<br />

the World Bank Residual Model, which estimate illicit financial flows. The difficulty of performing<br />

direct observation is partly circumvented by measuring two quantities such as supply<br />

and demand that should in principle be equal in the absence of illicit activity. The difference<br />

between these two quantities corresponds to the amount of illicit activity. We could imagine<br />

using this principle to measure illicit activities for which it is hard or costly to make direct<br />

observation, but which can be measured as a difference between an input and an output. For<br />

example, counterfeiting could in some cases be measured as the difference between the legitimate<br />

supply and the total demand (which includes counterfeits) if the two quantities can be<br />

known or approximated, as is the case for the amount of deployed software.<br />

Excised Goods<br />

While the illicit trade in cigarettes is the most studied black market for the purpose of excise<br />

tax avoidance, it is likely that other illicit markets in excisable goods amount to tens of billions<br />

more. Illicit trade in tobacco creates a black market that is or can be relatively accurately<br />

44

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