Performance and Relative Incentive Pay: The Role of Social Preferences

__Abstract__ Under relative performance pay, other-regarding workers internalize the negative externality they impose on other workers. In one form -increased own effort reduces others' payoffs- this results in other-regarding individuals depressing efforts. In another form punishment reduces the payoff of other workers- groups with other-regarding individuals feature higher efforts because it is more difficult for these individuals to sustain low-effort (collusive) outcomes. We explore these effects experimentally and find other-regarding workers tend to depress efforts by 15% on average. However, selfish workers are nearly three times more likely to lead workers to coordinate on minimal efforts when communication is possible. Hence, the social preferences composition of a team of workers has nuanced consequences on efforts

Do People Who Care About Others Cooperate More? Experimental Evidence from Relative Incentive Pay

We experimentally study ways in which the social preferences of individuals and groups affect performance when faced with relative incentives. We also identify the mediating role that communication and leadership play in generating these effects. We find other-regarding workers tend to depress efforts by 15% on average. However, selfish workers are nearly three times more likely to lead workers to coordinate on minimal efforts when communication is possible. Hence, the other-regarding composition of a team of workers has complex consequences for organizational performance

Nucleated red blood cells explain most of the association between DNA methylation and gestational age

Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (pBonferroniNucleated red blood cells explain most of the association between DNA methylation and gestational agepublishedVersio

Think Pieces on UMD's Liberal Education Program and the Value of the Liberal Arts

A collection of brief essays on the role of a liberal education and/or the Liberal Arts for undergraduate students penned by UMD facultyThe UMD Faculty Senat

OpenET : filling a critical data gap in water management for the western United States.

The lack of consistent, accurate information on evapotranspiration (ET) and consumptive use of water by irrigated agriculture is one of the most important data gaps for water managers in the western United States (U.S.) and other arid agricultural regions globally. The ability to easily access information on ET is central to improving water budgets across the West, advancing the use of data-driven irrigation management strategies, and expanding incentive-driven conservation programs. Recent advances in remote sensing of ET have led to the development of multiple approaches for field-scale ET mapping that have been used for local and regional water resource management applications by U.S. state and federal agencies. The OpenET project is a community-driven effort that is building upon these advances to develop an operational system for generating and distributing ET data at a field scale using an ensemble of six well-established satellite-based approaches for mapping ET. Key objectives of OpenET include: Increasing access to remotely sensed ET data through a web-based data explorer and data services; supporting the use of ET data for a range of water resource management applications; and development of use cases and training resources for agricultural producers and water resource managers. Here we describe the OpenET framework, including the models used in the ensemble, the satellite, meteorological, and ancillary data inputs to the system, and the OpenET data visualization and access tools. We also summarize an extensive intercomparison and accuracy assessment conducted using ground measurements of ET from 139 flux tower sites instrumented with open path eddy covariance systems. Results calculated for 24 cropland sites from Phase I of the intercomparison and accuracy assessment demonstrate strong agreement between the satellite-driven ET models and the flux tower ET data. For the six models that have been evaluated to date (ALEXI/DisALEXI, eeMETRIC, geeSEBAL, PT-JPL, SIMS, and SSEBop) and the ensemble mean, the weighted average mean absolute error (MAE) values across all sites range from 13.6 to 21.6 mm/month at a monthly timestep, and 0.74 to 1.07 mm/day at a daily timestep. At seasonal time scales, for all but one of the models the weighted mean total ET is within ±8% of both the ensemble mean and the weighted mean total ET calculated from the flux tower data. Overall, the ensemble mean performs as well as any individual model across nearly all accuracy statistics for croplands, though some individual models may perform better for specific sites and regions. We conclude with three brief use cases to illustrate current applications and benefits of increased access to ET data, and discuss key lessons learned from the development of OpenET

Do people who care about others cooperate more? Experimental evidence from relative incentive pay

We experimentally study ways in which social preferences affect individual and group performance under indefinitely repeated relative incentives. We also identify the mediating role that communication and leadership play in generating these effects. We find other-regarding individuals tend to depress efforts by 15% on average. However, selfish individuals are nearly three times more likely to lead players to coordinate on minimal efforts when communication is possible. Hence, the other-regarding composition of a group has complex consequences for organizational performance