My own flesh and blood: stratified parental compassion and law in Korean slavery

This article examines the relationship between human emotions and slavery in Chos?n Korea (1392–1910) by examining legislative processes as well as private practices concerning the status of the offspring of a yangban man and his slave-status concubine. The legislative discussions and decisions on the topic at the royal court often subscribed to the notion that these children were also the yangban’s ‘flesh and blood’ and called for compassion, a Confucian emotional norm expected of parents. When yangban fathers manumitted their slave-status children, they recorded their feelings in the same affective language expressed in the legal discourses. Yet, because slaves were among the yangban’s most valuable possessions and yangban elites regarded the maintenance of social hierarchy as the key for social order, legal paths for manumission were narrowly defined and emotional norms did not always dictate parents’ actions. By investigating the larger legal framework related to slave-status children of yangban elites alongside specific cases, this study seeks to provide a deeper understanding of the historical impact and practices of emotional politics in relation to slavery. It finds that the yangban fathers’ very primordial human emotion towards their own children was stratified by social and economic conditions and selectively applied.     

General cumulative Kullback–Leibler information

The cumulative residual Kullback–Leibler information is defined on the semi-infinite (non negative) interval. In this paper, we extend the cumulative residual Kullback–Leibler information to the whole real line and propose a general cumulative Kullback–Leibler information. We study its application to a test for normality in comparison with some competing test statistics based on the empirical distribution function including the well-known tests applied in practice like Kolmogorov–Smirnov, Cramer–von Mises, Anderson–Darling, and other existing tests.     

Regional Diffusion of Divorce in Turkey

While demographic change has been well documented for many Western countries, much less is known about demographic transitions in other countries, including Turkey. Demographic change in European societies can be characterized by, amongst others, increased prevalence of divorce. Although it is often argued that life courses in Turkey follow a more traditional path, little is known on determinants and patterns of divorce, despite the major socioeconomic changes Turkey has undergone over the past decades. We study the levels of divorce of women in Turkey from 1973 to 2008 to explain patterns of divorce, looking at the role of individual characteristics and the regional context. We use the Demographic Health Surveys (2003/2008), complemented with regional data on divorce, urbanization, and GDP per capita. Applying a multilevel approach, distinguishing 12 regions, we hypothesize that regions where divorce is already more prevalent, more urbanized regions, and wealthier regions in terms of GDP per capita will increase the probability of divorce. Our analyses show that levels of divorce increased over the past decades but huge regional variation remains. Sociocultural and socioeconomic factors explain this trend, and in particular urbanization and GDP per capita are key determinants for divorce.     

Slow-explosive AR(1) processes converging to random walk

Abstract

This article investigates slow-explosive AR(1) processes, which converge to a random walk (RW) process with logarithm rates, to fill the gap between nearly non-stationary AR(1) and moderately deviated AR(1) processes, and derives the asymptotics of the least squares estimator using central limit theorems for (reduced) U-statistic. We successfully establish the smooth link between the nearly non-stationary AR(1) and the moderately deviated AR(1) processes. Some novel results are reported, which include the convergence of the least squares estimator to a biased fractional Brownian motion.     

DOES EARLY ACCESS TO PENSION WEALTH IMPROVE HEALTH?

We examine the health impacts of early access to public pension wealth by exploiting a unique policy in Singapore allowing individuals to withdraw a proportion of their pension savings after their 55th birthday. For the identification, we employ a regression discontinuity design by comparing individuals before and after their 55th birthday. To address anticipated and lagged health impacts, we adopt the donut regression discontinuity approach. Using nationally representative monthly panel data, we find that early access to pension wealth improves self-reported overall health. (JEL I10, H55, D15)     

Spatial Non-stationarity in Opioid Prescribing Rates: Evidence from Older Medicare Part D Beneficiaries

Population Research and Policy Review - Previous research that examined spatial patterns of opioid prescribing rates and factors associated with them has mainly relied on a global modeling...     

Exploring the multidimensional constructs of transformative school–community collaboration from a critical paradigm

School–community collaboration has become an important approach to enhancing the quality of services to meet the multifaceted needs of students. However, there is little understanding of how to create and maintain successful school–community collaboration. Drawing on a critical paradigm, this study developed a comprehensive framework for transformative school–community collaboration (TSCC) and developed a valid scale to assess the major dimensions of TSCC. Using school survey data, an exploratory factor analysis identified four multidimensional constructs: (a) critical member capacity representing members' organizing, interpersonal, and critical analysis skills, (b) equal relations with respect to joint membership, interaction, and outcome distribution, (c) democratic network governance measuring the basic elements of democracy in decision‐making, and (d) empowering coordination reflecting a responsive, flexible, and supportive coordination system. This study also showed that low‐income and urban schools reported significantly lower levels of equal relations and empowering coordination. The developed scale can be used as an evaluation tool that monitors and evaluates school–community collaboration ensuring equal, democratic, and empowering structures and processes. Furthermore, the results of this study suggest practice implications and future research agendas to create and maintain successful school–community collaboration.     

Third-person effect in the context of public relations and corporate communication

Inaccurate perceptions of audience can cause public relations practitioners to overreact or underreact to a situation, which brings about unintended consequences. We draw on the third-person effect research to identify examples and outline the conditions when the overestimation or underestimation of media effects can motivate key players to engage in restrictive, corrective, promotional, and resistance behaviors. Then, we recommend approaches that can help public relations practitioners better reflect and manage corporate communication. In short, the approaches involve: (a) determining the nature of the presumed effect from the audience perspective and going beyond the categorical positive/negative message, (b) assessing the level of the presumed effect and considering also the possibility of the first- as well as the second-person effect, and (c) assessing the influence of the perceived effect on behaviors that have the potential to directly as well as indirectly affect the company.     

Economies of scale,bulk discounts,and liquidity constraints: comparing unit value and transaction level evidence in a poor country

We examine bulk discounts, which are claimed to explain the Deaton and Paxson puzzle about household size and food demand, and which may matter to household behavior studied in other literatures. Most previous studies use unit values, which are subject to several biases and reflect economizing choices made by households, so may not reliably estimate the bulk discount schedule. Instead, individual transaction records in household expenditure diaries are used, which report expenditure, quantity, brand, unit size and number purchased per transaction. The bulk discount schedule is estimated for four foods (rice, canned meat, canned fish and chicken) that make up one-third of the total food budget in a survey in urban Papua New Guinea. For each food we use the dominant brand(s) so there is no quality variation and the estimated price schedule only reflects discounts due to variations in purchase quantity. All foods have precisely measured but small elasticities of unit price with respect to quantity purchased.     

PARAMETRIC FRACTIONAL IMPUTATION FOR NON‐IGNORABLE CATEGORICAL MISSING DATA WITH FOLLOW‐UP

Incomplete data subject to non‐ignorable non‐response are often encountered in practice and have a non‐identifiability problem. A follow‐up sample is randomly selected from the set of non‐respondents to avoid the non‐identifiability problem and get complete responses. Glynn, Laird, & Rubin analyzed non‐ignorable missing data with a follow‐up sample under a pattern mixture model. In this article, maximum likelihood estimation of parameters of the categorical missing data is considered with a follow‐up sample under a selection model. To estimate the parameters with non‐ignorable missing data, the EM algorithm with weighting, proposed by Ibrahim, is used. That is, in the E‐step, the weighted mean is calculated using the fractional weights for imputed data. Variances are estimated using the approximated jacknife method. Simulation results are presented to compare the proposed method with previously presented methods.