A soft-floor auction asks bidders to accept an opening price to participate in an ascending auction. If no bidder accepts, lower bids are considered using first-price rules. Soft floors are common despite being irrelevant with standard assumptions. When bidders regret losing, soft-floor auctions are more efficient and profitable than standard optimal auctions. Revenue increases as bidders are inclined to accept the opening price to compete in a regret-free ascending auction. Efficiency is improved since having a soft floor allows for a lower hard reserve price, reducing the frequency of no sale. Theory and experiment confirm these motivations from practice.

While relative performance feedback in the form of rankings appears to be effective in improving healthcare outcomes, it may have either motivating or demotivating effects for individual physicians. Potential factors influencing such effects include a physician’s level of ability and the design of the ranking system itself; however, there is limited understanding of these factors. Using a controlled lab-in-the-field experiment with practicing and future physicians as subjects (N = 352), we systematically analyze effort within small teams under different ranking systems. Exogenously varying the number and position of the thresholds defining the ranking system, we observe that the addition of a threshold to create a new rank is motivating-i.e., increases effort-only among individuals capable of exceeding that threshold; the effort of other individuals may remain unchanged or even decrease. In particular, a highly granular ranking system with ranks spanning the entire range of possible outcomes maximizes overall physician effort: high thresholds serve to motivate high-ability individuals, while moderate and low thresholds provide opportunities for improvement to lower-ability individuals who cannot reach the high thresholds. Our results suggest that, to motivate their teams effectively, clinical leaders should provide rank feedback using a system under which physicians of all ability types can improve their rank through increased effort.

Political information reaches people through others who share it. In four experiments with U.S. and German adults and professional journalists, I study what governs people's decisions to share information. Senders favor facts aligned with their own political positions, even with prior knowledge held fixed and although they rate the facts as credible. Provision rises with a fact's alignment and with the factual correction and persuasion senders expect it to produce, and falls with the political distance between sender and receiver. When receivers are randomly assigned to make a real political donation, senders appear to select more on the facts they expect to move receivers toward the senders' own political positions, with no detectable change in selection on the expected factual correction. Professional journalists exhibit similar alignment-based selection with competition, ownership and audience demand removed. Receivers whose sender withheld a fact hold substantially less accurate beliefs than receivers shown it. Receivers underestimate how often senders disclose and perceive little of how disclosure depends on the fact. Importantly, selection among true facts distorts information supply without any falsehood, a margin that current policy interventions, such as fact-checking, do not target.

We analyze a structured second-opinion program for elective surgeries in Germany using administrative claims data (2013–2019). The program institutionally separates diagnosis from treatment: physicians providing second opinions give independent assessments but are banned from performing the treatment themselves. In orthopedics and neurosurgery, first and second-opinion physicians disagree in 56% of cases. The disagreement is strongly asymmetric: second physicians contradict 63% of surgery recommendations but only 14% of recommendations against surgery—consistent with physician-induced demand. Seventy percent of patients comply with second-opinion recommendations. Using propensity score matching and patient fixed-effects event-study designs, we estimate that compliance reduces monthly health expenditures by about €431–478 (approximately baseline mean), the number of outpatient visits by 0.61, and hospital days by 0.06 over 18 months, with no adverse effects on sick leave. The effects concentrate among patients advised against surgery, who save €710–760 monthly without health deterioration. For these patients, surgeries remain avoided throughout the 18 months following consultation, with symptoms managed instead through conservative therapies. Taken together, these findings provide evidence that structured second-opinion programs effectively curb overtreatment by separating diagnosis from treatment, translating theoretical predictions into realized health and spending outcomes.

Many people register as stem-cell donors intending to help, yet 30–50% later become unavailable at confirmatory typing (CT). We ask whether behavioral-economics informed narratives can close the gap between intention and follow-through. In a pre-registered field experiment with a globally-operating registry, over 1.8 million registered donors are randomly assigned to one of three narrative videos, emphasizing reciprocity, community, or personal relevance and low costs or a control. We measure stated willingness to donate and link donors to administrative CT availability as matches arrive. Compared to a 94% baseline, the community framing lowers willingness relative to the neutral video by 0.8–1.0 pp, while personal relevance and low costs raise it by 0.3 pp. Early CT outcomes are consistent with these findings. Heterogeneity by gender and behavioral characteristics suggests persuasion is audience-dependent, highlighting the risks of one-size-fits-all campaigns.

Stem-cell donor registries seek to recruit large numbers of donors, but also donors who remain available when matched with a patient, creating a potential quantity–quality trade-off. Non-availability at the confirmatory-typing (CT) stage reaches up to 50% in Western countries, undermining search efficiency and potentially delaying life-saving transplants. We report preliminary results from a pre-registered cluster-randomized field experiment with DKMS across 206 school drives in Germany, covering about 48,000 students. At drives in treatment schools, students were informed at sign-up about an explicit post-registration easy-exit option; drives in control schools followed the standard protocol. Contrary to concerns that an easy exit option may weaken commitment, the intervention increased registration rates from 31% to 34%. Only about 1% of treated registrants subsequently exercised the easy-exit. These patterns suggest that an easy-exit can reduce sign-up friction without inducing substantial short-run dropout. The experiment is ongoing, and administrative records will be linked to future CT requests to assess long-run donor availability. Early data show no evidence of reduced availability in the treatment group. The findings suggest that optimizing choice architecture may increase prosocial participation without compromising downstream commitment quality.

Online search is shifting fast: Google desktop searches per user fell about 20% YoY in 2025, ChatGPT use has roughly doubled since 2023, and about 49% of U.S. consumers now use TikTok as a search engine. Yet causal evidence on how the chosen platform shapes what users come to believe is missing. We run a pre-registered between-subjects experiment randomly assigning participants to research three topics (inflation, immigration, personal investments) on Google, ChatGPT, TikTok, or no platform; a browser extension records search behavior, incentive-compatible elicitations capture beliefs, expectations, attitudes, and narratives, and an optional one-week follow-up with monetary encouragement to keep using the assigned platform measures durability. Our pilot (N=59) suggests large platform effects on accuracy and narrative dispersion.