College-bound friends and college application choices: Heterogeneous effects for Latino and White students

Friends are among the most influential social forces affecting adolescent behavior, yet little work has focused on the influence of friends on the decision to apply to college. Using data from the senior cohort of the Texas Higher Education Opportunity Project, we employed propensity score matching with sensitivity analyses to investigate links between having college-oriented friends and applying to college. We found that college-oriented friends increased the likelihood of applying to any college and to 4-year colleges, both for White and Latino students. However, Latino students benefited less from college-oriented friends compared to White students. Our findings suggest that college-choice models should more directly account for the influence of friends in applying to college, taking account of racial and ethnic differences, and future research should explore why Latino students benefit less.     

A propensity score matching analysis of the relationship between victim sex and capital juror decision-making in North Carolina

A small body of prior research has examined the impact of victim sex on jury death penalty decision-making and the majority of this research has demonstrated some evidence of a “female victim effect” such that cases involving a female victim are more likely to receive the death penalty than similarly situated cases with a male victim. However, within this line of research studies have suggested that victim sex may work in conjunction with other case characteristics. In order to further explore this phenomenon, the current study examines a near-population of death penalty cases from North Carolina (n = 1069) from 1977–2009 using propensity score matching. Results demonstrate that once cases are matched on more than 50 legal and extralegal case characteristics, there is no statistically significant or substantive link between victim sex and death penalty decision-making. Findings suggest that it is concrete differences in the legal and extralegal factors observed in cases with female victims compared to male victims that shape jury death sentence decisions rather than a direct effect of victim sex (before matching: OR = 1.53; 95% CI = 1.20–1.95; p < .001/after matching: OR = 0.90; 95% CI = 0.66–1.24; p = .52). Study limitations and implications are also discussed.     

留守经历对新生代农民工工作流动的影响--基于2015年北京市数据的实证检验

本文基于2015年北京市新生代农民工的微观调查数据，在利用倾向得分倒数加权法纠正样本的选择性偏差以后发现：（1）新生代农民工过高的工作流动频率在一定程度上与其普遍的留守经历有关；（2）不同类型的留守形式和留守时间对工作流动的影响有所不同，完全留守、长期留守者表现出更高的工作流动性；（3）相同的留守行为对工作流动的影响存在明显的性别差异，男性农民工更易受到童年时期留守经历的影响。上述结论的政策启示在于：在关注留守经历及其所带来的影响差异的同时，也应避免留守问题的代际传承。     

Estimating the effectiveness of a misdemeanor drug diversion program using propensity score matching and survival analyses

This study analyzes three years of data on misdemeanor drug offenders in Winnebago County, Wisconsin. A portion of these offenders opted into a Misdemeanor Drug Diversion Program (MDDP) offered instead of traditional adjudication. Recidivism in the treatment and comparison groups is estimated using standard binary response techniques augmented with propensity score matching to address selection bias. Results show that the MDDP reduces the probability of re-offense by 16%, after adjusting for possible selection bias. Cox proportional hazard modeling is also used to assess time-to-re-offense differentials between the treatment and comparison groups. The survival analysis indicates that the hazard rate of re-offense is 60% lower per day among those treated with the MDDP program than those who did not complete the program. The average number of days to re-offense among those that do re-offend is 297 days in the treatment group and 203 days in the comparison group.     

Comparison of causal effect estimators under exposure misclassification

Over the past decades, various principles for causal effect estimation have been proposed, all differing in terms of how they adjust for measured confounders: either via traditional regression adjustment, by adjusting for the expected exposure given those confounders (e.g., the propensity score), or by inversely weighting each subject's data by the likelihood of the observed exposure, given those confounders. When the exposure is measured with error, this raises the question whether these different estimation strategies might be differently affected and whether one of them is to be preferred for that reason. In this article, we investigate this by comparing inverse probability of treatment weighted (IPTW) estimators and doubly robust estimators for the exposure effect in linear marginal structural mean models (MSM) with G-estimators, propensity score (PS) adjusted estimators and ordinary least squares (OLS) estimators for the exposure effect in linear regression models. We find analytically that these estimators are equally affected when exposure misclassification is independent of the confounders, but not otherwise. Simulation studies reveal similar results for time-varying exposures and when the model of interest includes a logistic link.     

Marital disruption and economic well-being: a comparative analysis

Summary.  Though there is a considerable literature concerned with the economic consequences of marital breakdown, there is still substantial disagreement in terms of its magnitude. One of the major problems underlying this debate is how economic well-being is defined. We implement several measures of well-being of monetary and multidimensional nature by using data from the European Community Household Panel. Another issue in this literature concerns selection bias of divorcing couples. We tackle this issue by using a propensity score matching technique combined with a difference-in-differences estimator. Results confirm the importance of the definition of well-being. We find a strong gender bias when using monetary measures but a considerably lower bias, and for some countries non-existent, when using non-monetary indices.     

Third-grade retention and reading achievement in Texas: A nine year panel study

The academic performance of over 38,000 Texas students who failed the state’s 1994 reading test was examined through their sophomore year in high school. Propensity score matching resulted in strata with retained and promoted students of comparable observed characteristics. Reading scores were analyzed using a two-level hierarchical linear model. Same grade comparisons show that third graders failing the state-mandated reading test who repeated the grade consistently outperformed in later grades the socially promoted children who also failed the third grade test. Additional analyses indicate that alternative explanations for the findings such as omitted variables, regression to the mean, differential panel attrition and cohort effects are not supported. The results are consistent with findings from other recent studies which suggest that grade retention in third grade may help increase student achievement.     

Macroeconomic performance of inflation targeting in European and Asian emerging economies

The macroeconomic performance resulting from adopting an inflation targeting policy in emerging economies of Europe and Central Asia are examined. The research includes 26 countries in the period 1997–2019, with a special focus on the period 2008–2019. Our econometric analysis consists of two approaches: dynamic panel modeling and propensity score matching. The results suggest that macroeconomic performance has improved due to the inflation targeting monetary framework. We find that a policy of inflation targeting has been effective in reducing the inflation rate, inflation volatility, and GDP volatility. The results are particularly robust for the subperiod that started in 2008. Econometric results suggest that inflation targeting policy did not affect inflation persistence or GDP growth. Our results suggest that inflation targeting improves the macroeconomic performance of developing countries even when they only partially meet the standard requirements for its implementation.     

Causal inference with observational data: A tutorial on propensity score analysis

When treatment cannot be manipulated, propensity score analysis provides a useful way to making causal claims under the assumption of no unobserved confounders. However, it is still rarely utilised in leadership and applied psychology research. The purpose of this paper is threefold. First, it explains and discusses the application and key assumptions of the method with a particular focus on propensity score weighting. This approach is readily implementable since a weighted regression is available in most statistical software. Moreover, the approach can offer a “double robust” protection against misspecification of either the propensity score or the outcome model by including confounding variables in both models. A second aim is to discuss how propensity score analysis (and propensity score weighting, specifically) has been conducted in recent management studies and examine future challenges. Finally, we present an advanced application of the approach to illustrate how it can be employed to estimate the causal impact of leadership succession on performance using data from Italian football. The case also exemplifies how to extend the standard single treatment analysis to estimate the separate impact of different managerial characteristic changes between the old and the new manager.     

我国城乡居民消费行为差异研究

本文使用1978-2014年我国居民消费数据,研究城乡居民的消费总量、收支结构、平均消费倾向、边际消费倾向和恩格尔系数等差异,并选取31个省市的面板数据构建城乡消费模型进行分析。结果表明：①城乡居民消费行为可分三个阶段,城乡差距经历两个轮回,现在第二轮扩张期。②相对而言,农村居民收入低消费率高支出结构固化,对物价变动有滞后性和拖尾性,近期在城镇居民平均消费倾向持续走低时平稳走高。③城镇居民自发消费与边际消费倾向大致呈反比,同一城市的城乡居民自发消费与边际消费倾向相关性不强。文章建议,降低城乡交通通信类支出,扩大城乡家庭设备及用品类市场和农村文教娱乐类市场,提高农村居民健康及医疗保障水平。