Moral pride only under the positive gaze of others? Effects of praise and criticism on moral pride and guilt / ¿Orgullo moral solo bajo la mirada positiva de los otros? Los efectos del elogio y la crítica sobre el orgullo moral y la culpa

Abstract

This study analysed the influence of praise and criticism on moral pride (the pride we feel when we believe we have done something morally good) and guilt. Ninety-two adolescents (age: M = 15.17, SD = 0.43; 44.6% girls, 55.4% boys) completed a questionnaire which outlined 10 scenarios based on combinations of three variables: the moral nature of the action (positive/negative); praise, criticism or the absence of either; and the source (parents/peers). Participants were asked to indicate the intensity with which they would feel pride and guilt (seven-point scale). Praise of positive actions increased pride. Interestingly, criticism of positive actions reduced pride and increased guilt, while praise of negative actions reduced guilt and increased pride. No differences were found between the pride felt after a criticized positive action and that felt after a praised negative action. A parallel effect was not, however, observed for guilt. These results reveal the strong, sometimes pernicious, influence of praise and criticism on guilt and pride and, even more, the need for praise by others in the experience of moral pride.     

Small area estimation of mean price of habitation transaction using time-series and cross-sectional area-level models

In this paper, a new small domain estimator for area-level data is proposed. The proposed estimator is driven by a real problem of estimating the mean price of habitation transaction at a regional level in a European country, using data collected from a longitudinal survey conducted by a national statistical office. At the desired level of inference, it is not possible to provide accurate direct estimates because the sample sizes in these domains are very small. An area-level model with a heterogeneous covariance structure of random effects assists the proposed combined estimator. This model is an extension of a model due to Fay and Herriot [5], but it integrates information across domains and over several periods of time. In addition, a modified method of estimation of variance components for time-series and cross-sectional area-level models is proposed by including the design weights. A Monte Carlo simulation, based on real data, is conducted to investigate the performance of the proposed estimators in comparison with other estimators frequently used in small area estimation problems. In particular, we compare the performance of these estimators with the estimator based on the Rao–Yu model [23]. The simulation study also accesses the performance of the modified variance component estimators in comparison with the traditional ANOVA method. Simulation results show that the estimators proposed perform better than the other estimators in terms of both precision and bias.     

Profiles identification on hierarchical tree structure data sets

In this work we study a way to explore and extract more information from data sets with a hierarchical tree structure. We propose that any statistical study on this type of data should be made by group, after clustering. In this sense, the most adequate approach is to use the Mahalanobis–Wasserstein distance as a measure of similarity between the cases, to carry out clustering or unsupervised classification. This methodology allows for the clustering of cases, as well as the identification of their profiles, based on the distribution of all the variables that characterises each subject associated with each case. An application to a set of teenagers' interviews regarding their habits of communication is described. The interviewees answered several questions about the kind of contacts they had on their phone, Facebook, email or messenger as well as the frequency of communication between them. The results indicate that the methodology is adequate to cluster this kind of data sets, since it allows us to identify and characterise different profiles from the data. We compare the results obtained with this methodology with the ones obtained using the entire database, and we conclude that they may lead to different findings.     

Organizational cynicism: Spillover effects on supervisor–subordinate relationships and performance

Organizational cynicism has grown in contemporary Western organizations. However, its impact on interpersonal relationships and consequently on organizational functioning remains understudied. The present study addresses these gaps by: a) exploring the spillover effect of organizational cynicism on supervisor–subordinate relationships, and b) examining if the spillover effect extends to employee performance. Specifically, it examines if affective commitment to the supervisor mediates the relationship between the PSS × organizational cynicism interaction effect and performance (i.e., mediated-moderation). Data were collected from both employees and supervisors (N = 274) from 45 organizations. Our results generally support our hypotheses. This study provides evidence that organizational cynicism interferes in the relationship employees develop with their supervisors, with consequences to performance. This study opens new avenues for research on organizational cynicism and carries implications for theory and practice.     

Urban gradients alter the diversity,specific composition and guild distribution in tropical butterfly communities

The increasing expansion of the urban environment has been considered one of the causes of biodiversity loss. Due to the decrease of the quantity and quality of habitats, this process causes the restriction of organisms to sometimes-specific microhabitats. The patterns of variation of the biodiversity along the environmental gradients, however, are still poorly understood. This study evaluated how urban gradients affect the diversity, specific composition and frequency of guild of the community of butterflies. Butterflies were collected in three transects continuously traversing the urban, rural and preserved habitats using baited traps and by active sampling. We found that the urban gradient acts as an environmental filter in the butterfly communities, reducing the richness and frequency of guilds of frugivorous butterflies, structuring the community through turnover, but without effects in the abundance. This study shows the importance of the urban gradients approach in the butterfly community and its applicability in the management of urban areas in order to include native vegetation along the gradients, aiming at increasing environmental heterogeneity, to preserve butterflies and maintain the ecosystem services and network interactions in altered landscapes.

     

Sequential Estimation of Dynamic Discrete Games

This paper studies the estimation of dynamic discrete games of incomplete information. Two main econometric issues appear in the estimation of these models: the indeterminacy problem associated with the existence of multiple equilibria and the computational burden in the solution of the game. We propose a class of pseudo maximum likelihood (PML) estimators that deals with these problems, and we study the asymptotic and finite sample properties of several estimators in this class. We first focus on two‐step PML estimators, which, although they are attractive for their computational simplicity, have some important limitations: they are seriously biased in small samples; they require consistent nonparametric estimators of players' choice probabilities in the first step, which are not always available; and they are asymptotically inefficient. Second, we show that a recursive extension of the two‐step PML, which we call nested pseudo likelihood (NPL), addresses those drawbacks at a relatively small additional computational cost. The NPL estimator is particularly useful in applications where consistent nonparametric estimates of choice probabilities either are not available or are very imprecise, e.g., models with permanent unobserved heterogeneity. Finally, we illustrate these methods in Monte Carlo experiments and in an empirical application to a model of firm entry and exit in oligopoly markets using Chilean data from several retail industries.     

Improving supply chain responsiveness through Advanced Manufacturing Technology: the mediating role of internal and external integration

Abstract

Responsiveness is one of the key performance factors that firms need to face up to the challenges posed by today’s markets. Many manufacturing firms are investing in advanced manufacturing technology (AMT) with a view to improving competitiveness. However, empirical evidence shows that investments in AMT alone do not lead to improvements in performance. In this study, a model that links AMT implementation and responsiveness through internal integration and external integration is proposed. A sample of 441 Spanish industrial companies was used to test the model through structural equation modelling. The findings highlight that internal integration needs to be supplemented with external integration in order to ensure that the implementation of AMT will result in improved responsiveness. Supply chain managers should focus on integration within the supply chain – firstly internal and later external – to obtain returns on investments in AMT in the form of improved flexibility and more reliable and faster deliveries.     

A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations

We discuss here an alternative approach for decreasing the bias of the closed-form estimators for the gamma distribution recently proposed by Ye and Chen in 2017. We show that, the new estimator has also closed-form expression, is positive, and can be computed for n?>?2. Moreover, the corrective approach returns better estimates when compared with the former ones.     

创业精神在中国

大型国有企业或外资企业在经济发展中所取得的成就往往受到广泛关注，而由国际著名战略咨询公司摩立特集团和国务院发展研究中心近期公布的一项调查显示，中小型创业企业的增长活力和动力也不可忽视。     

Rebound effects in persuasion: considering potential ironic effects of suppression and correction / Efectos rebote en la persuasión: una consideración de los posibles efectos irónicos de la supresión y la corrección

Abstract

Previous theory and research in persuasion has failed to examine possible ironic effects of attempting to suppress or to correct for influences of a potentially biasing source. Yet, because people often encounter sets of persuasive communications in order (e.g., in advertising), such rebound effects seem possible. Data on such possibilities are scarce, however. Here we present a relevant study. It followed the typical single-shot persuasive message with a second message on an unrelated topic but employed a similar type of (potentially biasing — attractive or unattractive) source. Attitudes following the second communication showed increased source impact for participants asked to suppress source-related thoughts during the first message (especially when the second message was encountered under load). Instructions to correct for potential source effects during the first message did not show ironic effects following the second message. This relatively small study is not enough to make definitive claims, but it suggests that rebound effects of thought suppression are possible in (repeated) persuasion settings. Future research and open questions regarding ironic effects are discussed.