Über asymptotisch optimale versuchsplanung im sinne von sacks-ylvisaker

Zusammenfassunf.Das Versuchplanungsproblem von Sacks-Ylvisaker in der Form von Hajek-Kimeldorf wird unter etwas veränderten voraussetzungen betrachtet.Dieses Resultat wird zur Lösung eines speziellen problems der Versuchsplanung für zufällige Felder verwendet.     

LABOR MARKET PERFORMANCE EFFECTS OF DISCRIMINATION AND LOSS OF SKILL

We examine the impact of discrimination on labor market performance when workers are subject to a risk of losing skills during an unemployment experience. Within a search and matching framework, we show that both natives and immigrants are affected by discrimination. Discrimination in one sector has positive spillovers, inducing employment to increase in the other sector and the effect on labor market performance therefore depends on whether discrimination is present in only one sector or in both. Discrimination may induce workers to train more or less than natives after having lost their skills, dependent upon in which sector there is discrimination. Net output tends to be most negatively affected by discrimination among high‐skilled workers. (JEL J15, J31, J61, J64, J71)     

The Goldilocks principle: applying the exclusive disjunction to fuzzy sets

Qualitative Comparative Analysis (QCA), a technique by which the tools of Boolean algebra are applied to equifinal causal conditions, is gaining popularity amongst scholars. This paper draws upon a distinction largely overlooked by the QCA literature: the difference between inclusive- and exclusive-or (OR and XOR). I argue that XOR should be included amongst the tools of QCA, explain why XOR is more easily applied to crisp- than fuzzy-set QCA, and provide two original techniques for applying XOR to fuzzy sets: mechanical and calibrated. With the calibrated technique, the application of the exclusive-or is related to substantive knowledge of the cases with two threshold values: (1) how large two fuzzy set values need to be in order to violate a prior commitment or overshoot a target outcome, and (2) how similar two values need to be in order to violate the rule: ‘A or B, but not both’. This paper improves the capacity of QCA expressions to mirror natural language closely, formalize conversational implicature, and deal with mutually exclusive clusters of sufficiency conditions. It includes a helpful step-by-step guide for QCA practitioners.     

On the role of data,statistics and decisions in a pandemic

AStA Advances in Statistical Analysis - A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and available...     

The City Park as a Public Good Reference for Internet Policy Making

Extensive literature has provided evidence of the organic nature of the Internet as a domain for different sorts of activities. Most policy making regarding the Internet, however, has focused on its economic dimensions (e.g. e-commerce, copyrights, privacy) while taking timid steps when it comes to its cultural and social dimensions. We propose a more comprehensive approach for global policy making on the Internet by looking retrospectively at processes that led to the creation of urban parks, and examining those processes in light of public goods theory. We conducted historical and theoretical analyses to show that, in the same way urban parks define spaces that mediate between different functions of the city, it is possible to define buffer spaces within the Internet that mediate between competing spheres of activity. As a complex phenomenon involving infrastructure, applications, and content, the Internet possesses features that can be located at different points between purely private and purely public goods. This fact parallels the growing attention that public goods theorists are paying to non-economic factors to explain the provisions of goods under circumstances that do not easily fit supply/demand laws. We argue that urban parks, as hybrid public goods, offer a reference for the design of policies that harmonize competing interests because they are spaces justified by manifold rationales (economic, political, social and cultural). As parks offer possibilities for spontaneous re-appropriations of the city as a cohesive entity (i.e. something beyond a disconnected collection of populations), defining similar multi-purpose spaces on the Internet would facilitate coexistence of competing and complementary behaviours by allowing users to re-appropriate this technology as a comprehensive entity beyond a mere aggregation of transactions and interests.     

The Intensity of Emotional Facial Expressions and Decoding Accuracy

The influence of the physical intensity of emotional facial expressions on perceived intensity and emotion category decoding accuracy was assessed for expressions of anger, disgust, sadness, and happiness. The facial expressions of two men and two women posing each of the four emotions were used as stimuli. Six different levels of intensity of expression were created for each pose using a graphics morphing program. Twelve men and 12 women rated each of the 96 stimuli for perceived intensity of the underlying emotion and for the qualitative nature of the emotion expressed. The results revealed that perceived intensity varied linearly with the manipulated physical intensity of the expression. Emotion category decoding accuracy varied largely linearly with the manipulated physical intensity of the expression for expressions of anger, disgust, and sadness. For the happiness expressions only, the findings were consistent with a categorical judgment process. Sex of encoder produced significant effects for both dependent measures. These effects remained even after possible gender differences in encoding were controlled for, suggesting a perceptual bias on the part of the decoders.     

Estimating the error variance in nonparametric regression by a covariate-matched u-statistic

For nonparametric regression models with fixed and random design, two classes of estimators for the error variance have been introduced: second sample moments based on residuals from a nonparametric fit, and difference-based estimators. The former are asymptotically optimal but require estimating the regression function; the latter are simple but have larger asymptotic variance. For nonparametric regression models with random covariates, we introduce a class of estimators for the error variance that are related to difference-based estimators: covariate-matched U-statistics. We give conditions on the random weights involved that lead to asymptotically optimal estimators of the error variance. Our explicit construction of the weights uses a kernel estimator for the covariate density.     

Assessing the Ability to Recognize Facial and Vocal Expressions of Emotion: Construction and Validation of the Emotion Recognition Index

Despite extensive research on emotional expression, there are few validated tests of individual differences in emotion recognition competence (generally considered as part of nonverbal sensitivity and emotional intelligence). This paper reports the development of a rapid test of emotion recognition ability, the Emotion Recognition Index (ERI), consisting of two subtests: one for facial and one for vocal emotion recognition. The rationale underlying the test’s construction, item selection, and analysis are described and a major validation study with more than 3,500 professional candidates, providing stable norms, is reported. Additional analyses concern differences for gender, age, and education, as well as correlations with cognitive intelligence and personality factors. Moreover, a separate validation study with a student sample reports the correlations of the ERI with some of the major published tests in this area, demonstrating satisfactory construct validity. Correlations between ERI scores and the position of candidates in the organizational hierarchy suggest that recognition competence might be might contribute to predicting career advancement.