Moving on up: The Rooney rule and minority hiring in the NFL

Abstract Detecting and quantifying racial discrimination in the labor market is difficult. The sports industry offers a wealth of data and specific hiring practices which mitigates this difficulty. The Rooney Rule requires National Football League teams to interview at least one minority candidate when hiring a head coach. We examine a unique data set of high-level assistant coaches (offensive and defensive coordinators) from the beginning of the 1970 season through the beginning of the 2009 season to determine whether race is a factor in NFL teams' decisions to promote these assistants to head coach. Using logit and hazard models that control for age, experience and performance, we conclude that conditional on a coach reaching coordinator status, there is no evidence that race influences head coach hiring decisions. We also find no evidence that the Rooney Rule has increased the number of minority head coaches

Can the Marginal Productivity Theory of Distribution be Tested?

This paper shows why attempts to test the neoclassical aggregate marginal productivity theory of distribution are inherently flawed. The use of constant-price value data and an underlying accounting identity mean that the close correspondence often found between the “output elasticities” of a putative aggregate production function and the relevant factor shares is a mere statistical artefact. Likewise, the results of estimating neoclassical labor demand functions must, for the same reason, always give spurious results. The authors received no financial support for the research, authorship and/or publication of this article.This is the accepted manuscript. The final version is available from Sage at http://rrp.sagepub.com/content/47/2/274.abstrac

Floral gene resources from basal angiosperms for comparative genomics research

BACKGROUND: The Floral Genome Project was initiated to bridge the genomic gap between the most broadly studied plant model systems. Arabidopsis and rice, although now completely sequenced and under intensive comparative genomic investigation, are separated by at least 125 million years of evolutionary time, and cannot in isolation provide a comprehensive perspective on structural and functional aspects of flowering plant genome dynamics. Here we discuss new genomic resources available to the scientific community, comprising cDNA libraries and Expressed Sequence Tag (EST) sequences for a suite of phylogenetically basal angiosperms specifically selected to bridge the evolutionary gaps between model plants and provide insights into gene content and genome structure in the earliest flowering plants. RESULTS: Random sequencing of cDNAs from representatives of phylogenetically important eudicot, non-grass monocot, and gymnosperm lineages has so far (as of 12/1/04) generated 70,514 ESTs and 48,170 assembled unigenes. Efficient sorting of EST sequences into putative gene families based on whole Arabidopsis/rice proteome comparison has permitted ready identification of cDNA clones for finished sequencing. Preliminarily, (i) proportions of functional categories among sequenced floral genes seem representative of the entire Arabidopsis transcriptome, (ii) many known floral gene homologues have been captured, and (iii) phylogenetic analyses of ESTs are providing new insights into the process of gene family evolution in relation to the origin and diversification of the angiosperms. CONCLUSION: Initial comparisons illustrate the utility of the EST data sets toward discovery of the basic floral transcriptome. These first findings also afford the opportunity to address a number of conspicuous evolutionary genomic questions, including reproductive organ transcriptome overlap between angiosperms and gymnosperms, genome-wide duplication history, lineage-specific gene duplication and functional divergence, and analyses of adaptive molecular evolution. Since not all genes in the floral transcriptome will be associated with flowering, these EST resources will also be of interest to plant scientists working on other functions, such as photosynthesis, signal transduction, and metabolic pathways

Social Environment and Forms of Governance -- Monetary and Non-Monetary Punishment and the Role of Emotions

The question to what extent social environment affects how individuals govern their groups, has received no special academic attention, yet. Within the framework of a ten-period public goods experi&ment we analyse how social identity affects subjects' choice of punishment: They may either sanction group members by monetary and/or by non-monetary sanctions bearing differentconsequences on welfare. What is more, we are also the first to address how emotions influence the effectiveness of punishment in terms of maintaining contributions. Our results show that under the threat of both punishments identity-heterogeneous (out-) groups tend to contribute more to the public good than identity-homogenous (in-) groups. Nevertheless, subjects of out-groups are more likely to govern their group via monetary, in-group members rather via non-monetary punishment. What is more, we demonstrate that emotions of guilt and anger differently affect subsequent contributions dependent on the social environment

Empirical Models of Transitions between Coral Reef States: Effects of Region, Protection, and Environmental Change

There has been substantial recent change in coral reef communities. To date, most analyses have focussed on static patterns or changes in single variables such as coral cover. However, little is known about how community-level changes occur at large spatial scales. Here, we develop Markov models of annual changes in coral and macroalgal cover in the Caribbean and Great Barrier Reef (GBR) regions