Entrepreneurship & Innovation

This paper shows that providing undocumented immigrants with an immigration pardon, or amnesty, increases their economic activity in the form of higher entrepreneurship. Using administrative census data linked to the complete formal business registry, we study a 2018 policy shift in Colombia that made nearly half a million Venezuelan undocumented migrants eligible for a pardon. Our identification uses quasi-random variation in the amount of time available to get the pardon, introducing a novel regression discontinuity approach to study this policy.

Agile decision making is imperative as you lead in a data-driven world. Uniquely bridging theory and practice, Decisions over Decimals unites data intelligence with human judgment to get to action – a sharp approach the authors refer to as Quantitative Intuition (QI). QI raises the power of thinking beyond big data without neglecting it and chasing the perfect decision while appreciating that such a thing can never really exist.

A board should be at the helm of any family business, steering the business in the right direction. If you wish to have a business that is resilient and has a positive impact on all stakeholders (e.g., employees, customers, vendors, and society) you must make sure your board is intact and functioning optimally. This article offers some questions to consider as you develop best practices for your own board, such as who should be on the board, whether you need an independent director, and how often your board should meet.

This paper presents the Startup Cartography Project, which offers a new set of entrepreneurial ecosystem statistics for the United States from 1988-2016. The SCP combines state-level business registration records with a predictive analytics approach to estimate the probability of “extreme” growth (IPO or high-value acquisition) at or near the time of founding for all newly-registered firms in a given year. The results indicate the ability of predictive analytics to identify high-potential start-ups at founding (using a variety of different approaches and measures).

We investigate the impact of reporting regulation on corporate innovation. Exploiting thresholds in Europe’s regulation and a major enforcement reform in Germany, we find that forcing firms to publicly disclose their financial statements discourages innovative activities. Our evidence suggests that reporting regulation has significant real effects by imposing proprietary costs on innovative firms, which in turn diminish their incentives to innovate.

We estimate the impact of venture capital (VC) contract terms on startup outcomes and the split of value between the entrepreneur and investor, accounting for endogenous selection via a novel dynamic search-and-matching model. The estimation uses a new, large data set of first financing rounds of startup companies. Consistent with efficient contracting theories, there is an optimal equity split between agents, which maximizes the probability of success.

We propose a new valuation method for private equity investments. First, we construct a cash-flow replicating portfolio for the private investment, using cash-flows on various listed equity and fixed income instruments. The second step values the replicating portfolio using a flexible asset pricing model that accurately prices the systematic risk in listed equity and fixed income instruments of different horizons.

This paper aims to unpack the pro-social motivations of green innovators. In a field experiment inviting SBIR grantees to learn more about and apply to MIT Solve, we provide scientifically valid scenarios varying the time-frame and scale of human cost of climate change. Innovators' response in clicks and applications increases with both scale and immediacy treatments. Our structural model estimates a welfare discount rate of 0.76%, providing a measure of innovators' value of future generations, and an elasticity to lives lost of 0.23, implying diminishing marginal concern to human loss.