We show how to elicit the beliefs of an expert in the form of a “most likely interval”, a set of future outcomes that are deemed more likely than any other outcome. Our method, called the Most Likely Interval elicitation rule (MLI), asks the expert for an interval and pays according to how well the answer compares to the actual outcome. We show that the MLI performs well in economic experiments, and satisfies a number of desirable theoretical properties such as robustness to the risk preferences of the expert.

A standard way to elicit expectations asks for the percentage chance an event will occur. Previous research demonstrates noise in reported percentages. The current research models a bias; a five percentage point change in reported probabilities implies a larger change in beliefs at certain points in the probability distribution. One contribution of my model is that it can parse bias in beliefs from biases in reports. I reconsider age and gender differences in Subjective Survival Probabilities (SSPs). These are generally interpreted as differences in survival beliefs, e.g., that males are more optimistic than females and older respondents are more optimistic than younger respondents. These demographic differences (in the English Longitudinal Study of Ageing) can be entirely explained by reporting bias. Older respondents are no more optimistic than younger respondents and males are no more optimistic than females. Similarly, in forecasting, information is obscured by taking reported percentages at face value. Accounting for reporting bias thus better exploits the private information contained in reports. Relative to a face-value specification, a specification that does this delivers improved forecasts of mortality events, raising the pseudo R-squared from less than 3 percent to over 6 percent.

We present a novel method of judgment analysis called Error Parsing, based upon an alternative method of implementing Social Judgment Theory (SJT). SJT and Error Parsing both posit the same three components of error in human judgment: error due to noise, error due to cue weighting, and error due to inconsistency. In that sense, the broad theory and framework are the same. However, SJT and Error Parsing were developed to answer different questions, and thus use different methodological approaches in the analysis of error. While SJT makes use of correlational methods, Error Parsing uses absolute differences. We discuss the similarities and differences between the methodologies and provide empirical evidence for the utility of the Error Parsing technique.Keywords: Social Judgment Theory, judgment, error.

We report two studies on the perceived responsibility of opponents competing for a goal that can be attained by only one of them. Responsibility judgments were collected in seven samples of lay people and experts before, during, and after the World Chess Championship in 2013. Participants assessed the responsibility of the two players, their supporting teams, local conditions, and chance factors for four hypothetical outcomes (large and small loss/win for each player), along with probabilities for these outcomes, demonstrating subadditivity (sums exceeding 100%) in all samples, even among chess experts. The winner was consistently perceived to be more responsible than the loser, and more for outcomes with large than small margins. There was also an effect of focal player, as Carlsen was given more responsibility both for losses and wins than Anand, by the present (Norwegian) pro-Carlsen samples. However, this effect could be modified by describing the outcomes as Anand’s (rather than Carlsen’s) wins and losses. Thus the study adds to the valence framing literature by showing how responsibility judgments are affected by the way outcomes are framed.

Along with data about actual, desired, and anticipated job characteristics, this paper uses a novel data element, the subjective conditional probability of working at age 70, to estimate the causal effects of job characteristics on retirement in the United States. Having flexible work hours is the most consistent predictor of retirement preferences and expectations: if all current workers had flexible hours, the fraction working at age 70 would be 0.322, but it would be just 0.172 if none had this option. Job stress, physical, and cognitive job demands, the option to telecommute, and commuting times were additional predictors of retirement expectations.

The dissemination of information by extension agents on dairy management practices used to control mastitis and the reception and use of that information by producers are investigated. Producers are surveyed to determine current practices used. The relationship between milk yield, somatic cell count, management practices, and producer and production characteristics is estimated. Subjective probabilities are elicited from “experts,” extension agents, and producers concerning the impact and cost of various management practices. Subjective marginal value products and marginal input costs are computed and compared for the respondent groups. Stochastic dominance is used to rank the relative importance of the practices as perceived by the respondents.

The expectations of economic agents play a crucial role in almost any inter-temporal economic model. Using 2009–12 panel data for a representative sample of the Dutch population, we analyze consumers’ income and pension expectations. We focus on heterogeneity across socioeconomic groups and associations with how consumers perceive the economic and financial crisis. We find that pension expectations become more pessimistic over the 4 years, in line with pension reforms and the crisis. We find substantial differences across groups that are generally plausible and in line with financial theory.