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。     

县域金融发展与产业集聚区经济增长——以浙江为例

本文以浙江为例,在经济增长理论的基础上,建立了县域金融发展与产业集聚区经济增长之间相互作用的内生模型,基于浙江省22县（市）的县级数据,运用面板数据模型对县域金融发展与产业集聚区经济增长的互动关系进行了实证检验,比较了各产业集聚区经济增长的影响因素。研究发现：浙江县域金融发展规模、固定资产投资、实际利用外资与产业集聚区经济增长存在高度正相关关系;金融发展效率对产业集聚区经济增长的检验效果不显著;实际利率对产业集聚区经济增长的影响不显著,提出在执行利率政策时,不能采用金融发展理论中提高利率、解除金融抑制的政策手段。     

Digital forensics as a service: Game on

The big data era has a high impact on forensic data analysis. Work is done in speeding up the processing of large amounts of data and enriching this processing with new techniques. Doing forensics calls for specific design considerations, since the processed data is incredibly sensitive. In this paper we explore the impact of forensic drivers and major design principles like security, privacy and transparency on the design and implementation of a centralized digital forensics service.     

论网络电子数据收集程序的完善

电子数据收集程序的规范对于保障网络犯罪案件处理的质量有着重要意义。有别于传统的刑事证据,电子数据具有收集主体多元化、收集范围广泛化、收集方法科技化的特点。从我国当前司法实践情况来看,电子数据在收集过程中存在一系列问题。当前可参照他国立法经验,通过明确第三方的技术协助义务和保密义务、规定全面收集原则、确立快速保护机制、建立提交技术鉴定的标准这四个方面对我国电子数据收集程序予以规范。     

股权分置改革有效改善了公司绩效吗？——基于双重差分模型的估计

本文基于2004年到2008年上市公司样本数据,研究股权分置改革的政策有效性。考虑到股权分置改革的分批逐步推进特性,本文运用双重差分方法进行分析。研究结果发现,股权分置改革显著改善了公司绩效,总资产收益率提高了2．19％,并且股改具有一定的持续效应,股改当年总资产收益率提高了1．14％,股改后第一年进一步提高1．69％,但第二年开始股改政策效应减弱,在第三年甚至变为显著为负的影响。本文的研究对于认识股权分置改革的有效性及其长期影响有重要意义。     

Population data for Central Portugal population with NGM amplification kit

The purpose of this work was to establish frequencies and population statistic parameters for Central Portugal population using NGM amplification kit as well as carry out a comparative study with other population groups.