遏制和预防公务员腐败的经济学分析

公务员腐败的一个重要原因是我国目前的制度安排尚有缺陷,导致腐败成为“高收益低风险”行为。从微观经济学理论出发,建立成本——收益模型和公务员腐败——廉洁选择的决策树模型。通过制度创新,使腐败成为被查处概率极高、政治风险极大和经济成本极巨的行为。同时,提高公务员廉洁收益。     

口语交际策略及其语用学探析

口语交际策略是保证口语交际活动取得成功的对策和谋略。运用语用学的相关原理,对口语交际的观察策略、倾听策略、表达策略、反馈策略、调控策略进行深入地探析,可以帮助人们更好地理解和把握这些策略,有效地提高口语交际的策略水平。     

基于GTD的教育机构恐怖袭击实证分析及防范策略

在反恐形势日趋严峻的大环境下,教育机构已逐渐成为恐怖分子袭击的重点目标。基于GTD数据库中所收录的2009-2018年恐怖袭击的数据,以教育机构为研究对象,从教育机构恐怖袭击的发生数量、地域分布、袭击手段,以及所造成的后果等方面进行梳理,并对两个典型案例(两个国家的情况)进行分析,发现教育机构恐怖袭击主要有以下特点:袭击频发但呈下降趋势、袭击地域分布不平衡、袭击手段以爆炸为主袭击损失小但引起恐慌大等。对教育机构恐怖袭击,应从安保措施、情报预警、危险品管控以及宣传教育等方面加强防范。     

Promoting customer engagement: A new trend in utility regulation

This paper traces a new development in regulation that encourages utilities to engage more directly with their customers. We make four contributions: First, we perform a comprehensive analysis of how regulators are using customer engagement, and offer a simple model for understanding different customer engagement initiatives. Second, we review assessments of customer engagement. We find that there are no quantitative, empirically robust assessments of the effectiveness of customer engagement as a regulatory tool. Third, we develop two detailed case studies of an energy regulator and a water regulator that are in the forefront of customer engagement efforts. We find that there is no direct link between the engagement strategy used and the economic incentives received by a firm. Finally, we propose a framework for improving the customer engagement process. The new framework relies on microeconomics, modern tools of program evaluation, and supplying the regulated firm with direct incentives to engage with the customer.     

The Cosponsorship Patterns of Reserved Seat Legislators

This study analyzes the bill cosponsorship behavior of reserved seat legislators in the Pakistan National Assembly, where special legislative seats are reserved for women and religious minorities. It offers a critical case because two theories on reserved seat legislators—the theory of electoral incentives and the theory of institutional weakness—lead to opposite predictions about the extent to which such legislators will engage in bill cosponsorship, with the former (latter) predicting the negative (positive) effect of reserved seats. I find that women and minorities in reserved seats initiate a greater number of bills and cosponsor bills with a larger number of peers than nonreserved male legislators. Using network analysis, I also show that reserved legislators tend to play a role in bridging different partisan blocs of legislators within the cosponsorship network. These empirical patterns provide support to the theory of institutional weakness, rather than to the theory of electoral incentives.     

Reply to Mac Giolla and Ly (2019): On the reporting of Bayes factors in deception research

Bayes factors provide a continuous measure of evidence for one hypothesis (e.g., the null, H0) relative to another (e.g., the alternative, H1). Warmelink et al. (2019, Legal Criminol Psychol, 24, 258) reported Bayes factors alongside p‐values to draw inferences about whether the order of expected versus unexpected questions influenced the amount of details interviewees provided during an interview. Mac Giolla & Ly (2019) provided several recommendations to improve the reporting of Bayesian analyses and used Warmelink et al. (2019) as a concrete example. These included (I) not to over‐rely on cut‐offs when interpreting Bayes factors; (II) to rely less on Bayes factors, and switch to ‘nominal support’; and (III) to report the posterior distribution. This paper elaborates on their recommendations and provides two further suggestions for improvement. First, we recommend deception researchers report Robustness Regions to demonstrate the sensitivity of their conclusions to the model of H1 used. Second, we demonstrate a method that deception researchers can use to estimate, a priori, the sample size likely to be required to provide conclusive evidence.     

The Accuracy and Repeatability of Reconstructing Single Bullet Impacts Using the 2D Ellipse Method

When a bullet punctures a surface, it leaves behind a bullet impact, which can be analyzed in order to determine the origin and trajectory path from which a bullet was discharged using many different scientific methods to reconstruct a shooting scene. The purpose of the research was to test the accuracy and repeatability of reconstructing the impact angle of single bullet impacts using the ellipse method. The research was conducted by firing various calibers of ammunition into drywall panels positioned at varying angles of incidence from 88° until ricochet occurred. This was done in order to determine which caliber type and angle of incidence are most accurate and precise for reconstructing a shooting scene. The study examined four caliber types fired into drywall panels, with 5 repeated shots for each of the 11 angles of incidence (n = 220). Furthermore, 31 participants partook in the study to estimate a bullet impact angle of incidence utilizing the ellipse method. The results show that the best performance (accuracy and repeatability) is seen with the measurements of the 0.45 caliber ammunition. When angle of incidences is low (<64°), the performance (accuracy and repeatability) was seen to be better in all caliber ammunitions. Overall, the data provided for single bullet impacts deposited in drywall show that the ellipse method is useful in providing measurements for most crime scene reconstruction purposes and has also demonstrated that results vary depending on the type of ammunition, firearm, and angle of incidence being examined.     

New Approaches to Age Estimation Using Palatal Suture Fusion

Palatal suture fusion has seen little testing and/or application due in part to an inadequately described relationship to formal age ranges. This study presents a modified scoring method that examines fusion on samples of modern documented adult males and compares two Bayesian approaches to age estimation. In the first analysis, American and Portuguese collections were used to derive univariate and multivariate transition analysis (TA) parameters, which combined with an informative prior, estimated age in a sample of modern Americans and Portuguese. For the second analysis, a Bayesian multiple linear regression (BMLR) used indicator statuses as the independent variables with age as the dependent variable. Highest posterior density regions (HPDRs) and highest posterior density intervals (HDI) were calculated for a holdout sample. Final age estimates for the methods were tested for accuracy using cumulative binomial tests at 75% and 90% coverages. The HPDRs from multivariate TA captured age better for younger individuals, but consistently underaged. The cumulative binomial tests on the BMLR results indicated the prediction intervals performed as expected, and we show they are narrower (more precise) and/or more accurate than the corresponding HPDR. The modified method presented here formally links palatal suture obliteration to age using two different approaches, one of which (BMLR) is new to the aging literature. The BMLR provided results free from bias and more reasonable age ranges while maintaining accuracy. We present a look-up table and a free, simple R file for users to download and run their own estimates with BMLR.