Environmental managers face substantial uncertainty when deciding on management actions. To reduce this uncertainty prior to decision-making, collecting new data may help arrive at more informed decisions. Whether any resulting improvement in the decision will outweigh the cost of collecting the...

We develop a dynamic model where heterogeneous firms take investment decisions depending on their beliefs on future carbon prices. A policy-maker announces a forward-looking carbon price schedule but can decide to default on its plans if perceived transition risks are high. We show that weak...

Previous work suggests a general uncertainty surrounding the migration process acts as a barrier to outmigration. In this paper, we argue that this barrier is exacerbated when relative economic policy uncertainty is higher in the target country and mitigated when relatively higher in the origin...

Recently, much attention has been devoted to the measurement of macroeconomic (expectation) uncertainty and its impact on aggregate economic fuctuations. This paper presents a new qualitative measure of macroeconomic expectation uncertainty based on data from a German online survey of consumer...

Bayesian decisions are observationally identical to decisions with judgment. Decisions with judgment test whether a judgmental decision is optimal and, in case of rejection, move to the closest boundary of the confidence interval, for a given confidence level. The resulting decisions condition...

This paper investigates the effect of economic policy uncertainty (EPU) on gambling activity in China. Based on a theoretical model, we hypothesize that EPU increases the demand for hope which raises the willingness to pay for lottery tickets, resulting in higher lottery sales. We estimate a...

Anscombe and Aumann (1963) offer a definition of subjective probability in terms of comparisons with objective probabilities. That definition - which has provided the basis for much of the succeeding work on subjective probability - presumes that the subjective probability of an event is...

Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with...

Implied volatility index is a popular proxy for market fear. This paper uses the oil implied volatility index (OVX) to investigate the impact of different uncertainty measures on oil market fear. Our uncertainty measures consider multiple perspectives, specifically including climate policy...

The venture industry relies extensively on convertible contracts that allow VCs to convert their investments into an equity stake or a fixed debt position at a future date. We study convertible venture investments exposed to failure risk and valuation uncertainty using a double-hazard framework...

We adapt the design of five experimental studies on retirement decision-making and conduct reproductions with a larger sample from the broader population. We reproduce most of the main effects of the original studies. In particular, we find that consumption decisions are less efficient when...

This paper studies the herding behavior in managers’ investment decision; “Herding”, specifically, is defined as managers’ chosen optimal investment level deviates from the first best and is drawn closer to an external reference point - for example, the average investment level in an...

This study investigates insurance demand in a two-period model when a decision-maker (DM) is averse to the ambiguity of loss distributions. This study derives sufficient conditions such that the ambiguity-averse DM purchases more insurance than an ambiguity-neutral one when the DM maximises the...

This paper analyzes the joint association of emotions and knowledge in decision-making under uncertainty on a TV game show setting. The objective of this research is to understand the impact of emotions and knowledge on the preference for uncertainty (PU), which have mostly been investigated...

Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical practice. This paper considers uncertainty over models that impose different identifying assumptions, which can lead to a mix of point‐ and set‐identified models. We propose...

In this paper, we analyze the effect of financial uncertainty on corporate investment using firm-level panel data from the Republic of Korea. We find that financial uncertainty has a significant negative effect on corporate investment, and that the effect is heterogeneous across firms of...

This paper studies the causal effect of providing information about climate changeon individuals’ willingness to pay to offset carbon emissions in a randomizedcontrol trial. Receiving truthful information about ways to reduce CO2 emis-sions increases individuals’ willingness to pay for CO2...

This paper investigates the implication of correlation ambiguity to investor behavior, asset pricing and issuers' listing choices from a market microstructure perspective. We introduce two markets to a multi-asset model: Market A is transparent and Market B is opaque, or Market A with low and...

We examine several measures of uncertainty to make five points. First, equity market traders and executives at nonfinancial firms have shared similar assessments about one-year-ahead uncertainty since the pandemic struck. Both the one-year VIX and our survey-based measure of firm-level...

The paper analyzes under what circumstances policymakers experiment with policies with uncertain outcomes, when they prefer to imitate policies initiated in other countries, and when they prefer to coordinate policies internationally. Policymakers have private costs of active policies and...