Are College Presidents Like Football Coaches? Evidence from Their Employment Contracts

College presidents and football coaches are frequently criticized for their high compensation. In this paper, we argue that these criticisms are unmerited, as the markets for both college presidents and football coaches exhibit properties consistent with a competitive labor market. Both parties’ compensation varies in sensible ways related to the size of the programs they manage, as well as their potential for value creation. Successful college presidents and football coaches can greatly increase the value of their schools well beyond the amount they receive in compensation. If these higher education executives’ compensation is the result of a competitive labor market, and they do not capture compensation in excess of the incremental value they create, the overall welfare of their universities is increased. To shed light on these issues, we engaged in a comprehensive examination and comparison of college president and football coach compensation levels and employment contracts across FBS Division I universities. We found a number of noteworthy results. First, we see large differences in job tenure of these two groups: university presidents stay in their jobs significantly longer than football coaches. Second, we observe that football coaches are paid significantly more and their pay is rising at a much faster rate than college presidents. Third, larger schools pay these top executives much more than their smaller counterparts, especially for football coaches. Furthermore, Power Five conference schools pay their coaches far more than the other football conferences. Finally, we note significant differences in the structure of the college presidents’ employment contracts compared to football coaches’ contracts. For each of these major findings, we provide a detailed analysis of why they existand how they can be explained by economic theory. football coaches, college presidents, competitive labor market, job tenure, employment contracts, compensation, severance payment

College Football Coaches\u27 Pay and Contracts: Are They Overpaid and Unduly Privileged?

College football coaches\u27 employment contracts and compensation garner public attention and scrutiny in much the same way as those of corporate CEOs. In both cases, the public perception is that they must be overpaid and pampered Economic theory claims that for coaches and CEOs to be overpaid, they must be receiving compensation in excess of the value they create for their organizations. However, both receive pay-for-performance compensation, which structurally aligns their compensation with value creation. This means we need to examine the underlying structure of the contract that gives rise to the observed compensation to determine whether they are appropriately compensated. We compare the employment contracts of Division I Football Bowl Subdivision (FBS) college football coaches with those ofcorporate CEOs during the period 2005 to 2013. We find that coaches are not overpaid, and their contracts are fairly drawn. We also show that CEO and coach contracts exhibit many common features. These contract features are consistent with what economic theory would predict

Sorry Is Never Enough: How State Apology Laws Fail to Reduce Medical Malpractice Liability Risk

Based on case studies indicating that apologies from physicians to patients can promote healing, understanding, and dispute resolution, thirty-nine states (and the District of Columbia) have sought to reduce litigation and medical malpractice liability by enacting apology laws. Apology laws facilitate apologies by making them inadmissible as evidence in subsequent malpractice trials. The underlying assumption of these laws is that after receiving an apology, patients will be less likely to pursue malpractice claims and will be more likely to settle claims that are filed. However, once a patient has been made aware that the physician has committed a medical error, the patient\u27s incentive to pursue a claim may increase even though the apology itself cannot be introduced as evidence. Thus, apology laws could lead to either increases or decreases in overall medical malpractice liability risk. Despite apology laws\u27 status as one of the most widespread tort reforms in the country, there is little evidence that they achieve their goal of reducing litigation. This Article provides critical new evidence on the role of apology laws by examining a dataset of malpractice claims obtained directly from a large national malpractice insurer. This dataset includes substantially more information than is publicly available, and thus presents a unique opportunity to understand the effect of apology laws on the entire litigation landscape in ways that are not possible using only publicly available data. Decomposing medical malpractice liability risk into the frequency of claims and the magnitude of those claims, we examine the malpractice claims against 90% of physicians in the country who practice within a particular specialty over an eight-year period. The analysis demonstrates that for physicians who regularly perform surgery-a context in which patients are more likely to be aware of potential risks-apology laws do not have a substantial effect on the probability that a physician will face a claim or the average payment made to resolve a claim. For nonsurgeons, we find that apology laws increase the probability of facing a lawsuit and increase the average payment made to resolve a claim, a finding which is consistent with the presence of asymmetric information. Overall, our findings indicate that on balance, apology laws increase rather than limit medical malpractice liability risk

Mode of Effective Connectivity within a Putative Neural Network Differentiates Moral Cognitions Related to Care and Justice Ethics

BACKGROUND: Moral sensitivity refers to the interpretive awareness of moral conflict and can be justice or care oriented. Justice ethics is associated primarily with human rights and the application of moral rules, whereas care ethics is related to human needs and a situational approach involving social emotions. Among the core brain regions involved in moral issue processing are: medial prefrontal cortex, anterior (ACC) and posterior (PCC) cingulate cortex, posterior superior temporal sulcus (pSTS), insula and amygdala. This study sought to inform the long standing debate of whether care and justice moral ethics represent one or two different forms of cognition. METHODOLOGY/PRINCIPAL FINDINGS: Model-free and model-based connectivity analysis were used to identify functional neural networks underlying care and justice ethics for a moral sensitivity task. In addition to modest differences in patterns of associated neural activity, distinct modes of functional and effective connectivity were observed for moral sensitivity for care and justice issues that were modulated by individual variation in moral ability. CONCLUSIONS/SIGNIFICANCE: These results support a neurobiological differentiation between care and justice ethics and suggest that human moral behavior reflects the outcome of integrating opposing rule-based, self-other perspectives, and emotional responses

New evidence of factor structure and measurement invariance of the SDQ across five European nations

The main purpose of the present study was to test the internal structure and to study the measurement invariance of the Strength and Difficulties Questionnaire (SDQ), self-reported version, in five European countries. The sample consisted of 3012 adolescents aged between 12 and 17 years (M = 14.20; SD = 0.83). The five-factor model (with correlated errors added), and the five-factor model (with correlated errors added) with the reverse-worded items allowed to cross-load on the Prosocial subscale, displayed adequate goodness of-fit indices. Multi-group confirmatory factor analysis showed that the five-factor model had partial strong measurement invariance by countries. A total of 11 of the 25 items were non-invariant across samples. The level of internal consistency of the Total difficulties scores was .84, ranging between .69 and .78 for the SDQ subscales. The findings indicate that the SDQ's scales need to be modified in various ways for screening emotional and behavioural problems in the five European countries that were analyzed

The Stakes in Bayh-Dole: Public Values Beyond the Pace of Innovation

Evaluation studies of the Bayh-Dole Act are generally concerned with the pace of innovation or the transgressions to the independence of research. While these concerns are important, I propose here to expand the range of public values considered in assessing Bayh-Dole and formulating future reforms. To this end, I first examine the changes in the terms of the Bayh-Dole debate and the drift in its design. Neoliberal ideas have had a definitive influence on U.S. innovation policy for the last thirty years, including legislation to strengthen patent protection. Moreover, the neoliberal policy agenda is articulated and justified in the interest of “competitiveness.” Rhetorically, this agenda equates competitiveness with economic growth and this with the public interest. Against that backdrop, I use Public Value Failure criteria to show that values such as political equality, transparency, and fairness in the distribution of the benefits of innovation, are worth considering to counter the “policy drift” of Bayh-Dole

Design and Simulated Performance of Calorimetry Systems for the ECCE Detector at the Electron Ion Collider

We describe the design and performance the calorimeter systems used in the ECCE detector design to achieve the overall performance specifications cost-effectively with careful consideration of appropriate technical and schedule risks. The calorimeter systems consist of three electromagnetic calorimeters, covering the combined pseudorapdity range from -3.7 to 3.8 and two hadronic calorimeters. Key calorimeter performances which include energy and position resolutions, reconstruction efficiency, and particle identification will be presented.Comment: 19 pages, 22 figures, 5 table

AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider

The Electron-Ion Collider (EIC) is a cutting-edge accelerator facility that will study the nature of the "glue" that binds the building blocks of the visible matter in the universe. The proposed experiment will be realized at Brookhaven National Laboratory in approximately 10 years from now, with detector design and R&D currently ongoing. Notably, EIC is one of the first large-scale facilities to leverage Artificial Intelligence (AI) already starting from the design and R&D phases. The EIC Comprehensive Chromodynamics Experiment (ECCE) is a consortium that proposed a detector design based on a 1.5T solenoid. The EIC detector proposal review concluded that the ECCE design will serve as the reference design for an EIC detector. Herein we describe a comprehensive optimization of the ECCE tracker using AI. The work required a complex parametrization of the simulated detector system. Our approach dealt with an optimization problem in a multidimensional design space driven by multiple objectives that encode the detector performance, while satisfying several mechanical constraints. We describe our strategy and show results obtained for the ECCE tracking system. The AI-assisted design is agnostic to the simulation framework and can be extended to other sub-detectors or to a system of sub-detectors to further optimize the performance of the EIC detector.Comment: 16 pages, 18 figures, 2 appendices, 3 table

ECCE Sensitivity Studies for Single Hadron Transverse Single Spin Asymmetry Measurements

We performed feasibility studies for various single transverse spin measurements that are related to the Sivers effect, transversity and the tensor charge, and the Collins fragmentation function. The processes studied include semi-inclusive deep inelastic scattering (SIDIS) where single hadrons (pions and kaons) were detected in addition to the scattered DIS lepton. The data were obtained in {\sc pythia}6 and {\sc geant}4 simulated e+p collisions at 18 GeV on 275 GeV, 18 on 100, 10 on 100, and 5 on 41 that use the ECCE detector configuration. Typical DIS kinematics were selected, most notably $Q^2 > 1$ GeV$^2$, and cover the $x$ range from $10^{-4}$ to $1$. The single spin asymmetries were extracted as a function of $x$ and $Q^2$, as well as the semi-inclusive variables $z$, and $P_T$. They are obtained in azimuthal moments in combinations of the azimuthal angles of the hadron transverse momentum and transverse spin of the nucleon relative to the lepton scattering plane. The initially unpolarized MonteCarlo was re-weighted in the true kinematic variables, hadron types and parton flavors based on global fits of fixed target SIDIS experiments and $e^+e^-$ annihilation data. The expected statistical precision of such measurements is extrapolated to 10 fb$^{-1}$ and potential systematic uncertainties are approximated given the deviations between true and reconstructed yields. The impact on the knowledge of the Sivers functions, transversity and tensor charges, and the Collins function has then been evaluated in the same phenomenological extractions as in the Yellow Report. The impact is found to be comparable to that obtained with the parameterized Yellow Report detector and shows that the ECCE detector configuration can fulfill the physics goals on these quantities.Comment: 22 pages, 22 figures, to be submitted to joint ECCE proposal NIM-A volum