We develop a model to study optimal decision making in the face of uncertainty about the timing and structure of a future event. The model is used to study optimal decision making and welfare when individuals face uncertainty about when and how Social Security will be reformed. When individuals...

Laboratory experiments find a robust relationship between decision times and perceived values of alternatives. This paper investigates how these findings translate to experts' decision making and information acquisition in the field. In a stylized model of expert choice between two alternatives,...

We analyze how uncertainty about when information about future returns to a project may be revealed affects investment. While 'good news' about future returns boosts investment, 'good news about news' (that is news that information may arrive sooner) is shown to depress investment. We show that...

Financing terms and investment decisions are jointly determined. This interdependence links firms' asset and liability sides and can lead to short-termism in investment. In our model, financing frictions increase with the investment horizon, such that financing for long-term projects is...

Using an incentivized survey and a representative sample of investors, we elicit ambiguity attitudes toward a familiar company stock, a local stock index, a foreign stock index, and a crypto currency. We separately estimate ambiguity aversion (ambiguity preferences) and perceived ambiguity...

With agency costs of managerial discretion, equity financing is advantageous for the shareholders of firms with valuable investment opportunities but not for the shareholders of other firms. Accordingly, we find that firms with good investment opportunities are more likely to issue equity than...

The following paper discusses the analysis of some types of economic time series using an altered time scale, or operational time. It is argued that for some series, observations that are ordinarily thought of as equidistant in time are actually irregularly spaced in a more natural time scale....

We study the temporal behavior of the cross-sectional distribution of assets' market exposure, or betas, using a large panel of high-frequency returns. The asymptotic setup has the sampling frequency of the returns increasing to infinity, while the time span of the data remains fixed, and the...

The canonical difference-in-differences (DD) model contains two time periods, "pre" and "post", and two groups, "treatment" and "control". Most DD applications, however, exploit variation across groups of units that receive treatment at different times. This paper derives an expression for this...

We provide new evidence on the drivers of the early US coronavirus pandemic. We combine an epidemiological model of disease transmission with quasi-random variation arising from the timing of stay-at-home-orders to estimate the causal roles of policy interventions and voluntary social...