Combination of forecasts from survey data is complicated by the frequent entry and exit of individual forecasters which renders conventional least squares regression approaches infeasible. We explore the consequences of this issue for existing combination methods and propose new methods for...

Using a big data set of venture capital financing and related startup firms from Crunchbase, this paper develops a machine-learning model called CapitalVX (for “Capital Venture eXchange”) to predict the outcomes for startups, i.e., whether they will exit successfully through an IPO or...

This paper uses a life cycle model to predict the induced entry effects of a reduction in the effective tax rate applied to Social Security Disability Insurance recipients from 100% under the status quo to a 50% tax rate (i.e. $1 dollar benefit reduction for every $2 earned over a disregard...