"We estimate the demand for business training among entrepreneurs in Jamaica. We use either a re-framed version of the Becker-DeGroot-Marschak (BDM) mechanism or take-it-or-leave-it (TIOLI) offers to elicit willingness to pay for business training. We find that the majority of entrepreneurs have a positive willingness to pay for training, which suggests some scope for providers to help partially recover the costs of offering training. Our results indicate that charging a higher price for the course screens out a large share of entrepreneurs, in particular those entrepreneurs with fewer assets, who are more risk-averse business owners, and those who do not expect to benefit as much from the training. Providing a credit option does not affect take-up of the course. We find that higher willingness to pay is correlated with higher attendance, and conditionally on paying a positive price, those who are offered higher prices are more likely to attend, pointing to psychological or sunk-cost effects. However, this does not fully compensate for the reduction in participation in training due to the extensive margin effect of charging higher prices. Finally, we find some evidence that business training encourages higher adoption of business practices and improves business knowledge.

Our follow-up survey suffered from high attrition, which limits our ability to detect impacts on sales and profits. We do not see that effects are stronger for entrepreneurs paying higher prices or with higher willingness to pay, but a lack of statistical power also means that we cannot rule out the possibility that those
who pay higher prices do benefit more. We conclude that the optimal price for governments to charge may therefore lie somewhere in between free or nominal cost and market price, and depend on how governments trade-off equity and efficiency."

"In Mexico, microenterprises and SMEs make up 99 percent of firms, employ about 64 percent of the workforce, and account for more than 40 percent of GDP. Given the importance of SMEs in the economy, governments in Mexico over the past twenty years have established a wide variety of SME support programs. How effective these SME programs have been in achieving their objectives is unclear.

This paper evaluates SME support programs in Mexico using a panel of firm-level data for two groups of firms-a treatment group that participated in SME programs and a control group that did not. The panel data have been created by linking SME program participation information to a large panel of annual industrial surveys (1994-2005) maintained by Mexico's National Institute of Statistics and Geography."

"In this brief, we respond to a question from Nesta about entrepreneur mobility: Obviously, there is a well-known flow of startups towards the United States (driven in large part by the availability of venture capital and higher valuations at IPO), but does your data show any movement of entrepreneurs to and from developing countries?"

"The GALI team consistently hears questions from accelerators and others in the field about financial sustainability. In this brief, we ask: How do accelerators fund their programs, and how do different funding profiles relate to different accelerator offerings?"

"In this brief, we respond to a question from the Argidius Foundation about the return on investment for accelerators: At the Argidius Foundation, we assess the return on total investment (ROTI) of the capacity development programs that we support. What can your data tell us about the return on investment for accelerator programs?"

"In this data brief, we explore financing for ventures working in different regions and sectors around the world using data from the Entrepreneurship Database Program. In this report, we respond to a question from the Global Innovation Fund about startup financing by sector and geography: At the Global Innovation Fund, we are focused on supporting entrepreneurs and innovators in markets where individuals earn less than $5 per day. What sectors/verticals and what geographies are typically getting funding in the data that you're seeing?"

"In this brief, we use data from the Entrepreneurship Acceleration Research Initiative in order to respond to the following question by Steve Cumming of the MasterCard Foundation about Youth Entrepreneurship: At The MasterCard Foundation, we have a portfolio of youth entrepreneurship projects that we support in Sub Saharan Africa. We're always looking for data to better understand the space and to inform our programming. I'm wondering if you could share any data by ages 18-24 and 25-30, and by African country or region if possible. Do you see anything interesting under these parameters?"

"In this brief, we respond to questions from Acumen about what social enterprises think of measurement approaches that impact investors have created, specifically: Are entrepreneurs who have received impact investment funds using tools such as IRIS and B Impact Assessment? If they are, what factors are driving this adoption? If not, why not? And are they using other approaches instead?"

"This toolkit provides methodological guidance on assessing the current state of entrepreneurial ecosystems and offers a set of resources and tools that can be used by development practitioners. This toolkit does not aim to be exhaustive, but is intended to serve as a basis for other organizations to build upon. To develop this toolkit, ANDE conducted a comprehensive review of publicly available literature on entrepreneurial ecosystems and identified nine evaluative frameworks. We assessed these frameworks and synthesized key elements and indicators. ANDE encourages practitioners to use this toolkit as a resource guide that can be adapted and modified to fit the local and/sectoral context."

"In this brief, we respond to a question from VentureWell about intellectual property:

"In our work, we see that science and technology-based startups face different challenges and need different resources than other ventures. In your data, how do teams with intellectual property differ from those without? We are specifically interested in the roles of geography, education, team size and gender composition.""