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Social Impact Investing

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

the role of SII in meeting social needs, and thus the extent to which it should be supported through policy<br />

incentives. The first area is the development of relevant social outcome measures, that capture quality of<br />

life measures and their changes in both in the population (to identify need), and amongst recipients of the<br />

social intervention (to identify effectiveness). Second, contextual data, including general socio-economic<br />

conditions in households and communities and the levels and nature of general and specific social<br />

interventions, is required to develop appropriate controls for evaluation models. Third, robust and timesensitive<br />

evaluations of policies, and/or aspects of policy innovation to more broadly inform<br />

implementation decisions, are needed (OECD, 2014f).<br />

7.29 Some suggested steps to build this evidence base include:<br />

<br />

<br />

<br />

Broader social outcomes of each intervention should be defined, including expected spill-over<br />

effects.<br />

These social outcomes should be measurable independently of the policies’ target measures, and<br />

include at least one distributional measure to retain a check on the ‘inclusivity’ of the intervention<br />

effect (see 7.4.2).<br />

Compulsory evaluations should be incorporated into the publicly funded interventions, publically<br />

incentivised forms of SII, or as part of formal regulation practices; and encouraged in independent<br />

forms of SII (this may require the development of a business case).<br />

o<br />

o<br />

Evaluations need to be methodologically rigorous, and so support with the implementation<br />

of or methods for evaluations should be available as part of the development of a SII<br />

market, by sponsored independent researchers, or a formal regulatory body.<br />

Timing of all social intervention evaluations should be predetermined and based on when<br />

social returns to interventions can be expected. More than one evaluation might be needed,<br />

as the same intervention may contribute to more than one outcome over time (see 7.4.3).<br />

<br />

Data techniques, such as data matching to administrative sources and national surveys, could be<br />

facilitated by governments and independent groups to provide access to contextual data in order to<br />

and improve the quality and efficiency of evaluation processes.<br />

7.30 It is worth noting at this stage, that there is a trade-off between the need for timely policy<br />

interventions and the weight of - and wait for - the most rigorous evidence. Because it is important to act<br />

on social need in a timely way, there should be an expectation for ‘learning on the job’. Risks associated<br />

with such an expectation can be limited first and foremost by piloting social interventions, by undertaking<br />

independent evaluations on untested aspects of the intervention, and preparing a recipient-focussed (pilot)<br />

‘exit plan’ with appropriate funding in place (OECD, 2014f).<br />

7.4.1 Evaluating cost effectiveness or cost-benefit ratios?<br />

7.31 Many governments may not have capacity and systems in place to measure cost-effectiveness of<br />

public service delivery, however, social impact investment can present a strategic opportunity for initiating<br />

the collection of such data. Clearly, these types of approaches would need to build over time with a balance<br />

being found between effective measurement and effective market development.7.32 Two types of<br />

evaluation methods are potentially relevant for assessing SII interventions: cost-benefit analysis (CBA) and<br />

cost-effectiveness analysis (CEA) (see OECD 2014f for a more detailed discussion of these methods).<br />

Cost-benefit analysis (CBA) enables evaluators to compare the costs of a policy or intervention with its<br />

118 © OECD 2015

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