收入风险、金融教育与家庭金融市场参与

运用中国城市居民消费金融调查数据,基于因果推断的分析框架,采用倾向分值匹配法研究了收入风险、金融教育对家庭金融市场参与的影响。研究发现,收入越稳定,家庭开展金融教育的概率越高;金融教育显著提高了家庭的金融市场参与;按收入风险将样本分组后,上述结论依然稳健,且金融教育对不同家庭金融市场参与的影响具有非对称性。在对家庭收入稳定性分类的基础上,有针对性地增加金融教育的供给,提升家庭整体的金融教育水平,有利于提高家庭金融市场参与度,优化家庭金融资产配置,进而改善家庭金融福利。     

儿童照料与二孩生育意愿 ——来自上海的证据

本文围绕一项针对上海市育龄女性的生育意愿调查,分别使用二分和有序Logit方法分析儿童照顾对上海市育龄女性的二孩生育意愿的影响。研究发现当育龄女性能够从家庭内和社会中获得更多孩子照料的时间支持时,她们有更高的二孩生育意愿,也会伴有更明确的二孩生育规划;双独家庭能够从父辈获得更多的经济、时间上的帮助,因此他们要比单独家庭和双非家庭更愿意再生一个孩子;居住于上海市城区的女性从某种程度上更易获得孩子的照料资源,有更多的优质教育资源可供选择,因此她们的二孩生育意愿高于居住于郊区的女性。此外,本文通过是否采用了避孕措施对二孩生育的意愿程度做了进一步区分,结果发现当第一个孩子主要是由孩子父母承担照料工作的时候,女性存在二孩生育意愿的程度是最低的,祖辈照料对二孩生育意愿程度的积极影响也明显低于社会性照料,此现象在上海市户籍的女性中体现尤为明显。最后为纠正自选择偏差问题,本文使用倾向值匹配方法(PSM)进一步验证了与首孩性别相比,首孩的抚养成本与接受照料情况显然对二孩生育意愿的影响程度更大。因此,本文认为加大公共托育服务的供给、为育龄女性提供高质量的0-3岁婴幼儿社会照料支持是提高二孩生育意愿的最有效政策。     

Children discharged from kin and non-kin foster homes: Do the risks of foster care re-entry differ?

This study investigates whether the type of pre-discharge placement, kinship versus non-kinship foster care, has a net impact on children's likelihood of re-entering substitute care after controlling for possible selection biases through the use of regression adjustment and propensity score matching (PSM). Children in kin and non-kin foster care are compared on their rates of foster care re-entry, using bivariate comparisons and accelerated failure time (AFT) models. Lower rates of foster care re-entry after reunification from kinship homes are attributed to differences in child characteristics at removal, greater stability of kin placements, and gate-keeping functions that agencies and courts exercise over discharge and re-entry options. Children adopted from kinship and non-kinship homes exhibit similar re-entry rates, but the results for legal guardianship are mixed.     

设立村级河长提升农村水环境治理绩效了吗?——基于倾向得分匹配(PSM)的反事实估计

农村水环境长期存在"边治理、边衰退"和地方政府监管乏力问题,通过广泛设立村级河长能促进农村水环境治理绩效的提升吗?基于黄河流域4省份实地调查数据,采用倾向得分匹配法(PSM)实证检验村级河长的设立对农村水环境治理绩效的影响及机制,比较不同流域差异、地理区位及村庄规模下的组群差异。实证结果表明:村级河长的设立能够显著提升农村水环境治理绩效,对上游村庄、中小型村庄、近郊村的水环境治理绩效有显著的提升效应,且稳健性检验后结论依然成立。进一步的机制分析发现,村级河长有效治理的深层原因在于村庄内部知识资源、关系资源、动员能力发挥着中介效应,在政府纵向激励问责机制的驱动下村级河长通过资源整合与策略化动员,有效弥补自身治水资源不足的缺陷,避开低绩效陷阱,进而提升河长制在"最后一公里"的政策效应。     

现代归纳逻辑性向解释面临的困境与发展

性向解释是在频率解释不能解决单个事件概率的情形下由波普尔提出来的。虽然波普尔的性向解释也没有解决为单个事件引入客观概率的问题,但与频率解释相比,它对概率论应用的情形提供了有用的扩展,并且“性向”这个术语并不仅仅适用于他自己的观点。由此,后期波普尔、米勒和费塞特发展了单个事例性向解释,吉利斯发展了长趋势性向解释。     

机构投资者持股与上市公司违规行为的实证研究

本文采用部分可观测的Bivariate Probit估计方法,对2001年至2009年中国1729家上市公司进行回归检验,发现机构投资者持股比例降低了公司违规行为倾向,同时增加了公司违规行为被稽查的可能性。该结论在控制了机构投资者变量内生性的因素后仍旧稳健。进一步研究表明,相比公司经营违规,机构投资者对信息披露违规倾向的影响更强。另外,相比证券机构投资者,养老保险基金、社保基金、企业年金持股的公司中违规公司比例更低。除此以外,机构投资者对公司违规的抑制与检举作用并不受其它公司治理变量的影响。本文的研究表明中国机构投资者在预防与打击上市公司违规行为方面发挥了重要的作用,并且也为上市公司与监管部门提供了治理和防范企业违规的线索。     

Obtaining cancer risk factor prevalence estimates in small areas: combining data from two surveys

Summary.  Cancer surveillance research requires accurate estimates of risk factors at the small area level. These risk factors are often obtained from surveys such as the National Health Interview Survey (NHIS) or the Behavioral Risk Factors Surveillance System (BRFSS). The NHIS is a nationally representative, face-to-face survey with a high response rate; however, it cannot produce state or substate estimates of risk factor prevalence because the sample sizes are too small and small area identifiers are unavailable to the public. The BRFSS is a state level telephone survey that excludes non-telephone households and has a lower response rate, but it does provide reasonable sample sizes in all states and many counties and has publicly available small area identifiers (counties). We propose a novel extension of dual-frame estimation using propensity scores that allows the complementary strengths of each survey to compensate for the weakness of the other. We apply this method to obtain 1999–2000 county level estimates of adult male smoking prevalence and mammogram usage rates among females who were 40 years old and older. We consider evidence that these NHIS-adjusted estimates reduce the effects of selection bias and non-telephone coverage in the BRFSS. Data from the Current Population Survey Tobacco Use Supplement are also used to evaluate the performance of this approach. A hybrid estimator that selects one of the two estimators on the basis of the mean-square error is also considered.     

互联网技能会带来农村居民的消费升级吗?——基于CSS2015数据的实证分析

互联网正逐步与“三农”领域相互融合,重塑着农村居民的消费行为观念。为此,本文结合CSS2015数据,系统探究互联网与农村居民消费升级的关系。研究发现:①互联网技能会显著提高平均消费倾向与文娱消费倾向,降低恩格尔系数,在运用倾向得分匹配法纠正选择性偏误,运用处理效应模型和两阶段最小二乘法控制潜在的内生性偏误后,研究结论仍然稳健,即互联网技能可以释放农村居民的消费潜力、优化农村居民的消费结构,推动农村消费升级;②随着分位点提高,互联网技能对农村居民平均消费倾向的影响呈现倒U 型态势,对恩格尔系数的影响呈现U 型态势,相比之下,互联网技能只对高分位点文娱消费倾向有显著正向促进作用;③互联网技能会增加中部、西部及东北地区农村居民消费需求,优化东部地区的消费结构。以上结论有助于认清互联网对农村居民消费行为的深层影响。     

Paternal incarceration and child-reported behavioral functioning at age 9

Within the last few decades our understanding of the importance of non-cognitive skills for socioeconomic success has grown along with our knowledge of the deleterious impacts of paternal incarceration for child wellbeing. Given the importance of early skills and that elementary-aged children constitute the majority of children with incarcerated parents, understanding the connection between paternal incarceration and the socio-emotional component of children’s non-cognitive development is pressing. Using matching models, data from the newest wave of the Fragile Families and Child Wellbeing Study, and exploring a larger range of behavioral skills than previous literature, this paper provides estimates of the impact of paternal incarceration on children’s behavioral functioning at age 9 using children’s own self-reports. Comparisons to oft-used parent reports are made and heterogeneity by gender is explored. Findings suggest the incarceration of a father increases the antisocial behaviors children self-report, but has null effects on prosocial skill development.     

Using Inverse Probability Weighting Estimators to Evaluate Various Propensity Scores When Treatment Switching Exists

In this paper, we conduct a Monte Carlo simulation study to evaluate three propensity score (PS) scenarios for estimating an average treatment effect (ATE) in observational studies when treatment switching exists: (a) ignoring treatment switching in subjects (UPS), (b) removing subjects with treatment switching (RPS), and (c) adjusting for treatment switching effect (APS) with two inverse probability weighting estimators, IPW1 and IPW2. We evaluate these six estimators in terms of bias, mean squared error (MSE), empirical standard error (ESE), and coverage probability (CP) under various simulation scenarios. Simulation results show that the IPW2 estimator with RPS has relatively good performance.