"The aim of this study was to deepen the understanding of the specific practices and methodologies that established impact investors are using to measure the social impact generated by their investments, and to analyze the conditions under which each measurement method is most relevant. The intended audience for our analysis is impact investors themselves, as well as social sector organizations, traditional funders, and evaluators."

"Key research objectives of this report were to evaluate the quantifiable value created by impact-focused incubator/accelerator programs and to design and pilot a framework that can be used to objectively compare and benchmark impact incubator/accelerator programs against each other. This analysis builds on ANDE's previous findings and was conceived as a means to evaluate how and where incubators/accelerators are creating tangible value. One of the initial goals of the study was to help programs develop quantifiable evidence they need to make a stronger case for charging incubees and investors for their services and the value they create."

"Many of the available developmental evaluation resources focus on theory rather than practical experience. The DEPA-MERL consortium has documented early lessons learned from its experience and is pleased to offer guidance for organizations, managers, and evaluators that seek to implement this approach."

"Understanding the performance of accelerators is important to a wide range of individuals and organizations: participating startups, accelerator managers and staff, investors, partners, donors, funders, and policymakers. Each of these stakeholders may have different priorities and objectives in their efforts to measure accelerators' performance and impact. This brief identifies considerations and potential metrics for evaluating accelerator performance. In addition to metrics related to the accelerator itself, it includes measures that assess the performance of startups, and changes in the regions in which accelerators are located."

"This guide is written for social entrepreneurs who want to maximise their positive impact and want a practical approach to help them do that. By impact we mean creating changes in people’s lives. You could be already running a social enterprise or on the way to setting one up."

"This supplementary guide has been created with the aim of mapping this landscape and to generate awareness and understanding of the impact space in South Africa. This guide explores why and how organisations are measuring their impact; the benefits and challenges of impact measurement and management; how impact data is used and reported; and the future of impact measurement and management in South Africa."

"The International Organization for Cooperation in Evaluation (IOCE) curates a list of local evaluation associations by country."

"This resource gives an overview and non-technical introduction to randomized evaluations. Randomized evaluations can be used to measure impact in policy research: to date, the Abdul Latif Jameel Poverty Action Lab (J-PAL) affiliated researchers have conducted more than 1,000 randomized evaluations studying policies in ten thematic sectors in more than 80 countries. This resource highlights work from a variety of contexts, including studies on youth unemployment in Chicago, a subsidized rice program in Indonesia, and a conditional cash transfer in Mexico. It includes guidance on when randomized evaluations can be most useful, and also discusses when they might not be the right choice as an evaluation method."

"A lot has been written about the relationship between entrepreneurship and regional development in the past years. However, do we have conclusive empirical evidence for justification of this relationship? Policymakers expect from entrepreneurship positive impact on country's wealth and employment. Nevertheless, several scholars have argued that the impact of entrepreneurship might be even negative, especially, when the institutions are not working well. This might be a case of developing countries.

We empirically tested the relationship between the established business ownership rate (obtained from Global Entrepreneurship Monitor) and a set of country's economic indicators (Gross Domestic Product, Gross National Income, and Human Development Index). Obtained estimates support a hypothesis assuming a negative influence of entrepreneurship on regional development of developing countries (represented by GDP and GNI). Nevertheless, we failed to prove any impact of entrepreneurship on HDI. These findings have crucial implications for both policymakers and researchers."

"This toolkit is designed to build an understanding of how adopting an experimental approach can be used to make policies more effective by successfully designing and delivering your own trials."