In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two...

Many risk and time elicitation designs rely on choice lists that aim to capture a switch point. A choice list for a respondent typically contains two switch point defining choices; the other responses are dominated in the sense that the preferred option could be inferred from the switch point....

This paper develops a generalized hedonic model in which an exogenous shock to a single product attribute can affect other attributes, the markets for the product's complements and substitutes, and aggregate quantity produced. These factors are shown to be empirically relevant and to cause bias...

The COVID-19 pandemic has transformed working from home from a rarity to a widely adopted job amenity. We study workers' willingness to pay for working from home, and how it may be affected by subjective and objective assessments of COVID-19-related risks. We conducted a discrete choice...

Experimenters have to make theoretically irrelevant decisions concerning user interfaces and ordering or labeling of options. Such presentation decisions affect behavior and cause results to appear contradictory across experiments, obstructing utility estimation and policy recommendations. The...