This paper measures the mean, standard deviation, alpha and beta of venture capital investments, using a maximum likelihood estimate that corrects for selection bias. Since firms go public when they have achieved a good return, estimates that do not correct for selection bias are optimistic. The...

Conventional models of production under uncertainty specify that output is produced in fixed proportions across states of nature. I investigate a representation of technology that allows firms to transform output from one state to another. I allow the firm to choose the distribution of its...

This paper measures the expected return, mean, standard deviation, alpha, and beta of venture capital investments. The focus of the paper is correcting for the selection bias that is the central obstacle in evaluating such investments. Therefore, valuations are observed only when a firm goes...

Conventional models of production under uncertainty specify that output is produced in fixed proportions across states of nature. I investigate a representation of technology that allows firms to transform output from one state to another. I allow the firm to choose the distribution of its...

Conventional models of production under uncertainty specify that output is produced in fixed proportions across states of nature. I investigate a representation of technology that allows firms to transform output from one state to another. I allow the firm to choose the distribution of its...

Uncertainty is a ubiquitous concern emphasized by policymakers. We study how uncertainty affects decision-making by the Federal Open Market Committee (FOMC). We distinguish between the notion of Fed-managed uncertainty vis-a-vis uncertainty that emanates from within the economy and which the Fed...

In this paper we study the neoclassical growth model with idiosyncratic income risk and aggregate risk in which risk sharing is endogenously constrained by one-sided limited commitment. Households can trade a full set of contingent claims that pay off depending on both idiosyncratic and...

Charging infrastructure is critical to electric vehicle (EV) adoption, but for chargers to be most useful, EV drivers need to know in real time where they are and whether they are working and available. We investigate the availability of real-time data from DC fast chargers on six major US...