Voter response to congressional campaigns: new?techniques for analyzing aggregate electoral behavior

Scholarship on congressional elections typically analyzes either the sum or the division of the major party vote at the district level. Our main innovation is to model the votes received by each candidate as a separate dependent variable, utilizing statistical methods developed to analyze multiparty elections. Because we are dealing with a substantive area in which endogeneity problems are rampant, we synthesize an instrumental variables approach with a “compositional data” model. This approach allows one to study the mobilizing and persuasive effects of congressional campaigns at the aggregate level.     

Family Business or Social Problem? The Cost of Unreported Domestic Violence

Social interest in problems such as domestic violence is typically motivated by concerns regarding equity, rather than efficiency. However, we document that taking steps to reduce domestic violence by reporting it yields substantial benefits to external parties. Specifically, we find that although children exposed to as‐yet‐unreported domestic violence reduce the achievement of their classroom peers, these costs disappear completely once the parent reports the violence to the court. This suggests that the public has an interest in helping families to overcome their problems in general and to report domestic violence in particular. It also suggests that social and judicial interventions may help combat negative peer effects in schools.     

Automated Texture Recognition of Quartz Sand Grains for Forensic Applications*

Quartz sand surface texture analysis has been automated for the first time for forensic application. The derived Basic Image Features (BIFs) provide computer-generated texture recognition from preexisting data sets. The technique was applied to two distinct classification problems; first, the ability of the system to discriminate between (quartz) sand grains with upturned plate features (indicative of eolian, global sand sea environments) and grains that do not exhibit these features. A success rate of grain classification of 98.8% was achieved. Second, to test the ability of the computer recognition system to identify specific energy levels of formation of the upturned plate surface texture features. Such recognition ability has to date been beyond manual geological interpretation. The discrimination performance was enhanced to an exact classification success rate of 81%. The enhanced potential for routine forensic investigation of the provenance of common quartz sand is indicated.     

Exsanguinated blood volume estimation using fractal analysis of digital images

The estimation of bloodstain volume using fractal analysis of digital images of passive blood stains is presented. Binary digital photos of bloodstains of known volumes (ranging from 1 to 7 mL), dispersed in a defined area, were subjected to image analysis using FracLac V. 2.0 for ImageJ. The box-counting method was used to generate a fractal dimension for each trial. A positive correlation between the generated fractal number and the volume of blood was found (R(2) = 0.99). Regression equations were produced to estimate the volume of blood in blind trials. An error rate ranging from 78% for 1 mL to 7% for 6 mL demonstrated that as the volume increases so does the accuracy of the volume estimation. This method used in the preliminary study proved that bloodstain patterns may be deconstructed into mathematical parameters, thus removing the subjective element inherent in other methods of volume estimation.     

The balanced scorecard: Sustainable performance assessment for forensic laboratories

The purpose of this article is to introduce the concept of the balanced scorecard into the laboratory management environment. The balanced scorecard is a performance measurement matrix designed to capture financial and non-financial metrics that provide insight into the critical success factors for an organization, effectively aligning organization strategy to key performance objectives. The scorecard helps organizational leaders by providing balance from two perspectives. First, it ensures an appropriate mix of performance metrics from across the organization to achieve operational excellence; thereby the balanced scorecard ensures that no single or limited group of metrics dominates the assessment process, possibly leading to long-term inferior performance. Second, the balanced scorecard helps leaders offset short term performance pressures by giving recognition and weight to long-term laboratory needs that, if not properly addressed, might jeopardize future laboratory performance.     

Reelection and Legislative Power: Surprising Results from Brazil

A diverse and growing literature ties legislative professionalization and power to career paths. In particular, higher rates of reelection and longer legislative careers should produce more professional, competent, and high‐quality legislatures. Legislators have more incentives to strengthen their own institution when they intend to remain there for a long career. Using data from the most recent constitutional convention in Brazil, we show that legislators with greater prospects for long careers were actually less likely to support strengthening the legislative branch. We explain this as part of a local equilibrium where career legislators’ short‐term need for pork trumped their long‐term interest in a stronger institution.