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Social Impact Investing

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SOCIAL IMPACT INVESTMENT: BUILDING THE EVIDENCE BASE<br />

associations collect data directly from the venture capital firms. Some national angel investment<br />

associations also play a data collection role.<br />

6.37 Even though data from some of these venture capital associations or angel investor networks can<br />

be fairly comprehensive, usually it only covers information obtained from members or associates. This<br />

caveat is even more important in areas where the association\network might only represent a small share of<br />

the market players. This is, for example, the case of business angel associations and networks. The case<br />

with SII is even more challenging given the varying views on definitions and the potential incentives for<br />

investors to classify themselves as social impact investors when they might not qualify. Rapidly growing<br />

SII-related associations such as Venture Philanthropy Associations (e.g. EVPA in Europe or AVPN in<br />

Asia) will certainly be important in future data collection efforts.<br />

6.38 The main challenge in sourcing data from intermediaries is that it is usually collected to address<br />

investor needs. Data disaggregation, in terms of social areas, relevant to a policymaker might be very<br />

different from the breakout and labels that would be appealing to an investor. It is important to distinguish<br />

the data requirements of investors, researchers and policymakers as outlined in Section 6.2. For example,<br />

while data collected for investors should reflect mostly financial characteristics (e.g. risk-return profiles,<br />

investor perspectives and investor practices, track record), data for policymakers should make the link with<br />

social outcomes and collected in such a way to provide the basis for informed policy action. Further work<br />

is needed to obtain data in a way that can provide insights for policy guidance.<br />

6.4. Current Approaches to Data Collection<br />

6.39 Various approaches might be used to collect SII information depending on which parts of the<br />

market are being assessed. However, none of the currently available approaches are optimal. The first is a<br />

top-down approach where key national aggregates are identified that allow the estimation of the SII market<br />

conditional on (strong) assumptions. The second is to compile information from players that have a<br />

common legal form directly linked to SII. The third is to collect data via surveys from market actors. Data<br />

requirements can also vary depending on who is seeking the data (market players, academics, policy<br />

makers). The details, advantages and disadvantages of each approach are described below.<br />

6.4.1. Top-down approach<br />

6.40 Some of the components of the SII framework can be estimated using a top-down approach.<br />

Within this approach, the first step is to obtain data on national aggregates. Since this data are highly<br />

aggregated, it combines a myriad of different information sets that go beyond SII. Therefore, the key is to<br />

single out the SII components. For this exercise a number of (rather strong) assumptions are required. First,<br />

it requires that some (rough) idea of the shares of the SII component, which needs to be based either on<br />

perceptions or historical information.<br />

6.41 While using shares based on perceptions can be misleading, depending on historical data assumes<br />

that it is: i) representative of the SII market; and, ii) there are no structural shifts, and thus percentages<br />

remain the same. On one hand, significant challenges still remain in terms of sizing the market. On the<br />

other hand, the SII market is evolving and growing rapidly, which means that assuming stable shares of the<br />

SII component might be unrealistic. In addition, it is important to note that even if shares provide a good<br />

representation of reality in one country, it will likely not be the case in different countries with different<br />

social systems. As a result, this approach has significant limitations. Although it can be useful to provide<br />

rough estimates of the market and foresights of demand and supply in the coming years, it does not allow<br />

effective measurement of SII demand or supply, nor is it able to provide insights into SII deal flows.<br />

92 © OECD 2015

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