The Europeanization of national elections. The role of country characteristics in shaping EU issue voting

Research has shown that voting in European elections is affected by domestic politics. However, in the last years, and particularly after the European debt crisis, also the EU has gained relevance and salience in national politics. In this paper we address the Europeanization of national elections and assess to what extent the characteristics of countries condition the intensity of EU issue voting. Using data from the European Election Studies and the Comparative Manifestos Project, our results demonstrate the importance of congruence between citizens' and parties’ positions on the EU for the individual vote on the national level and show how this varies across countries. We provide evidence that EU issue voting is more intense in countries with more political influence in the EU as well as in countries that are net contributors to EU funds.     

Long‐Run Labor Market Effects of the Job Corps Program: Evidence from a Nationally Representative Experiment

Job Corps is the nation's largest and most comprehensive career technical training and education program for at‐risk youth ages 16 to 24. Using the sample from a large‐scale experiment of the program from the mid‐1990s, this article uses tax data through 2015 (20 years later) to examine long‐term labor market impacts. The study finds some long‐term beneficial effects for the older students, with employment gains of 4 percentage points, 40 percent reductions in disability benefit receipt, and 10 percent increases in tax filing rates in 2015. For these students, program benefits exceeded program costs from the social perspective. This study is the first to establish that a national program for disconnected youth can produce long‐term labor market gains, and can be a positive investment made for society. The results suggest that intensive, comprehensive services that focus on developing both cognitive and noncognitive skills are important for improving labor market prospects for this population.     

Quantitative structure–activity relationship (QSAR) methodology in forensic toxicology: Modeling postmortem redistribution of structurally diverse drugs using multivariate statistics

Postmortem redistribution (PMR) constitutes a multifaceted process, which renders the analytical results of drug concentrations inaccurate to be interpreted by forensic toxicologists. The aim of the present study was to evaluate whether quantitative structure–activity relationship (QSAR) methodology could serve as an effective tool to estimate the ability of drugs to redistribute across tissue barriers during postmortem period on the basis of their molecular, physicochemical and structural properties. In this aspect, multivariate data analysis (MVDA) was applied to a set of 77 structurally diverse drugs. PMR data expressed by the central:peripheral concentration ratio (C:P ratio) was taken from the literature. An adequate and robust QSAR model (R² = 0.65, Q² = 0.56, RMSEE = 0.34) was established for 59 (77%) out of 77 drugs. Although the derived QSAR model presented limited applicability, it provided an informative illustration of the contributing molecular, physicochemical and structural properties in PMR process. Drugs with strong basic properties and enhanced molecular size, flexibility, lipophilicity and number of halogens were found to be susceptible to increased PMR. Due to the high complexity of PMR process, further QSAR studies need to focus on structurally related drugs to develop more specific models, which could serve as alternative tools to evaluate PMR for different chemical classes.     

Using State Child Labor Laws to Identify the Causal Effect of Youth Employment on Deviant Behavior and Academic Achievement

On the basis of prior research findings that employed youth, and especially intensively employed youth, have higher rates of delinquent behavior and lower academic achievement, scholars have called for limits on the maximum number of hours per week that teenagers are allowed to work. We use the National Longitudinal Survey of Youth 1997 to assess the claim that employment and work hours are causally related to adolescent problem behavior. We utilize a change model with age-graded child labor laws governing the number of hours per week allowed during the school year as instrumental variables. We find that these work laws lead to additional number of hours worked by youth, which then lead to increased high school dropout but decreased delinquency. Although counterintuitive, this result is consistent with existing evidence about the effect of employment on crime for adults and the impact of dropout on youth crime.

Assessing the (eco)macroeconomic performance index of India: A data envelopment analysis approach

The prime objective of this article is to construct a robust macroeconomic performance (MEP) index of the Indian economy using the data envelopment analysis (DEA) approach. Seven major macro indicators, namely, economic growth, employment rate, terms of trade, inflation rate, fiscal deficit, pollution, and climate change are used to compute MEP and Eco‐MEP indices of the Indian economy from 1980–1981 to 2018–2019. Overall, both the MEP and Eco‐MEP index scores have quite similar best performing years worst performing years, and have also captured the major events that affected adversely the Indian economy during the past decades. The trend in the overall performance of the Indian economy was better in the 1980s and the 1990s but has deteriorated since 2000. The autoregressive distributed lag bounds testing approaches to cointegration methods are used to test the robustness/utility of these indices. The estimated results show that MEP and Eco‐MEP have a positive impact on private investment, foreign investment inflows, foreign direct investment, and a negative effect on the current account deficit. Hence, the suggested composite MEP index is stable, robust and truly captures the economic performance of India. The constructed MEP composite index may be used by foreign investors, rating agencies, private investors, and policymakers for their planning and decision‐making processes.     

计量经济研究实践中的数据运用误差

计量经济学方法已被广泛地应用于经济研究的各个领域,理论、方法、数据是计量经济研究的三大基本要素。综观国内大量的计量经济研究成果,我们发现不尽严密和科学之处并不少见。本文从数据运用角度,列举了计量经济研究实践中的三类偏误现象,以呼吁人们关注计量经济学研究的客观性     

数据要素对制造业高质量发展的影响——来自制造业上市公司微观视角的经验证据

随着数字经济与实体经济的不断融合发展,数据已经成为经济发展进程中的关键生产要素。基于手工整理的2011—2020年我国A股制造业上市公司年报数据的研究表明：制造业高质量发展是企业研发创新、生产制造、市场匹配三个环节整体联动实现更高效率发展的一种高级状态。数据要素能够显著促进我国制造业高质量发展,且主要是通过关键性技术突破与知识创新的研发创新效应、生产流程优化与协同的生产协同效应产生影响,但市场匹配效应尚未完全显现;数据要素对我国制造业高质量发展的推动作用在非国有企业、高技术密集度行业与东部地区更加显著。研究结论为数字经济时代下我国如何激活数据要素潜能、推进传统产业转型升级提供了政策启示。     

健康医疗大数据的积极利用主义

健康医疗大数据是国家重要的基础性战略资源。为促进我国健康医疗大数据产业发展，应该明确健康医疗大数据积极利用主义规制模式，解决积极利用与知情同意原则之间的冲突。我国立法应鼓励健康医疗大数据的积极利用，通过知情同意原则的灵活运用及替代性或补充性保护机制的引入，解决健康医疗数据利用和保护之间的冲突，按照数据类型区分原则，对健康医疗大数据进行系统、适当的分类，明确原则性规定和例外情形。