The Effect of Providing Peer Information on Retirement Savings Decisions

We conducted a field experiment in a 401(k) plan to measure the effect of disseminating information about peer behavior on savings. Low-saving employees received simplified plan enrollment or contribution increase forms. A randomized subset of forms stated the fraction of age-matched coworkers participating in the plan or age-matched participants contributing at least 6% of pay to the plan. We document an oppositional reaction: the presence of peer information decreased the savings of non-participants who were ineligible for 401(k) automatic enrollment, and higher observed peer savings rates also decreased savings. Discouragement from upward social comparisons seems to drive this reaction.

The Economic Approach to Social Capital

To identify the determinants of social capital formation, it is necessary to understand the social capital investment decision of individuals. Individual social capital should then be aggregated to measure the social capital of a community. This paper assembles the evidence that supports the individual-based model of social capital formation, including seven facts: (l) the relationship between social capital and age is first increasing and then decreasing, (2) social capital declines with expected mobility, (3) social capital investment is higher in occupations with greater returns to social skills, (4) social capital is higher among homeowners, (5) social connections fall sharply with physical distance, (6) people who invest in human capital also invest in social capital, and (7) social capital appears to have interpersonal complementarities.

Measuring Trust

We combine two experiments and a survey to measure trust and trustworthiness—two key components of social capital. Standard attitudinal survey questions about trust predict trustworthy behavior in our experiments much better than they predict trusting behavior. Trusting behavior in the experiments is predicted by past trusting behavior outside of the experiments. When individuals are closer socially, both trust and trustworthiness rise. Trustworthiness declines when partners are of different races or nationalities. High status individuals are able to elicit more trustworthiness in others.Economic

Following through on Good Intentions: The Power of Planning Prompts

We study whether prompts to form and recall a plan can increase individuals’ responsiveness to reminders to make and attend beneficial appointments. At four companies, all employees due for a colonoscopy were randomly assigned to receive either a control mailing or a treatment mailing. The mailings were identical except that the control mailing included a blank sticky note while the treatment mailing included a sticky note that prompted the recipient to write down the appointment date for a colonoscopy and the name of the doctor who would conduct the procedure. During the seven-month follow-up period, 7.2% of treatment employees received a colonoscopy compared to 6.2% of control employees, a statistically significant difference that is roughly equal to the variation in compliance associated with a 10 percent increase in the fraction of the procedure’s cost covered by insurance. The treatment effect was largest for demographic groups judged to be at the highest risk of failing to receive a colonoscopy due to forgetfulness

Planning Prompts as a Means of Increasing Preventive Screening Rates

In the U.S., 18,800 lives could be saved annually if those advised to obtain colorectal screenings based on national guidelines complied (Zauber et al., 2012). Subtle suggestions embedded in a decision-making environment can change people\u27s choices (Thaler and Sunstein, 2008). Past research has shown that prompting people to form plans about where and when they will complete an intended behavior increases engagement in activities ranging from voting to vaccination (Gollwitzer and Sheeran, 2006; Milkman et al., 2011; Nickerson and Rogers, 2010). When plans are formed, they link intended behaviors with a concrete future moment and course of action, creating cues that reduce forgetfulness and procrastination. We studied whether planning prompts increase colonoscopy rates

The Allocation of Time in Decision-Making

We study the allocation of time across decision problems. If a decision-maker (1) has noisy estimates of value, (2) improves those estimates the longer he or she analyzes a choice problem, and (3) allocates time optimally, then the decision-maker should spend less time choosing when the difference in value between two options is relatively large. To test this prediction we ask subjects to make 27 binary incentive-compatible intertemporal choices, and measure response time for each decision. Our time allocation model explains 54% of the variance in average decision time. These results support the view that decisionmaking is a cognitively costly activity that uses time as an input allocated according to cost-benefit principles.Economic

The Effect of Providing Peer Information on Retirement Savings Decisions

Using a field experiment in a 401(k) plan, we measure the effect of disseminating information about peer behavior on savings. Low-saving employees received simplified plan enrollment or contribution increase forms. A randomized subset of forms stated the fraction of age-matched coworkers participating in the plan or age-matched participants contributing at least 6% of pay to the plan. We document an oppositional reaction: the presence of peer information decreased the savings of nonparticipants who were ineligible for 401(k) automatic enrollment, and higher observed peer savings rates also decreased savings. Discouragement from upward social comparisons seems to drive this reaction

Individual Laboratory-Measured Discount Rates Predict Field Behavior

We estimate discount rates of 555 subjects using a laboratory task and find that these individual discount rates predict inter-individual variation in field behaviors (e.g., exercise, BMI, smoking). The correlation between the discount rate and each field behavior is small: none exceeds 0.28 and many are near 0. However, the discount rate has at least as much predictive power as any variable in our dataset (e.g., sex, age, education). The correlation between the discount rate and field behavior rises when field behaviors are aggregated: these correlations range from 0.09-0.38. We present a model that explains why specific intertemporal choice behaviors are only weakly correlated with discount rates, even though discount rates robustly predict aggregates of intertemporal decisions.

Measuring intertemporal preferences using response times

We use two different approaches to measure intertemporal preferences. First we employ the classical method of inferring preferences from a series of choices (subjects choose between $X now or$Y in D days). Second we adopt the novel approach of inferring preferences using only response time data from the same choices (how long it takes subjects to choose between $X now or$Y in D days). In principle, the inference from response times should work, since choices between items of nearly equivalent value should take longer than choices between items with substantially different values. We find that choice-based analysis and response-time-based analysis yield nearly identical discount rate estimates. We conclude that response time data sheds light on both our revealed (choice-based) preferences and on the cognitive processes that implement those preferences.

Predicting Mid-Life Capital Formation with Pre-School Delay of Gratification and Life-Course Measures of Self-Regulation

How well do pre-school delay of gratification and life-course measures of self-regulation predict mid-life capital formation? We surveyed 113 participants of the 1967–1973 Bing pre-school studies on delay of gratification when they were in their late 40’s. They reported 11 mid-life capital formation outcomes, including net worth, permanent income, absence of high-interest debt, forward-looking behaviors, and educational attainment. To address multiple hypothesis testing and our small sample, we pre-registered an analysis plan of well–powered tests. As predicted, a newly constructed and pre-registered measure derived from preschool delay of gratification does not predict the 11 capital formation variables (i.e., the sign-adjusted average correlation was 0.02). A pre-registered composite self-regulation index, combining preschool delay of gratification with survey measures of self-regulation collected at ages 17, 27, and 37, does predict 10 of the 11 capital formation variables in the expected direction, with an average correlation of 0.19. The inclusion of the preschool delay of gratification measure in this composite index does not affect the index\u27s predictive power. We tested several hypothesized reasons that preschool delay of gratification does not have predictive power for our mid-life capital formation variables