Achievements of and challenges facing the Korean Disabled People’s Movement

Abstract

This paper provides a critical review of the development of the disabled people’s movement in South Korea since 1945, reflecting both its achievements and the obstacles it has faced. In particular, political positions and responses to the movement’s agitation against socio-cultural discrimination and inequality are discussed. Further, three key theoretical foundations of the movement are examined in order to describe the diversity inherent therein. This paper concludes that the disabled people’s movement has heavily influenced the values, norms, and systems of Korean society, but it has predominantly focused on integrating disability issues into policy and legislation, not on changing society and culture. Hence, the Korean Disabled People’s Movement is currently facing many challenges that are major threats towards its future development.     

Investigating dependence between frequency and severity via simple generalized linear models

Recently, a body of literature proposed new models relaxing a widely-used but controversial assumption of independence between claim frequency and severity in non-life insurance rate making. This paper critically reviews a generalized linear model approach, where a dependence between claim frequency and severity is introduced by treating frequency as a covariate in a regression model for severity. As an extension of this approach, we propose a dispersion model for severity. For this model, the information loss caused by using average severity rather than individual severity is examined in detail and the parameter estimators suffering from low efficiency are identified. We also provide analytical solutions for the aggregate sum to help rate making. We show that the simple functional form used in current research may not properly reflect the real underlying dependence structure. A real data analysis is given to explain our analytical findings.     

Grandparent caregiving and cognitive functioning among older people: evidence from Korea

Review of Economics of the Household - Caregiving for grandchildren is becoming common and plays an important role in the childcare system in many countries. This study examines whether caregiving...     

Empirical Likelihood‐Based Inference in Conditional Moment Restriction Models

This paper proposes an asymptotically efficient method for estimating models with conditional moment restrictions. Our estimator generalizes the maximum empirical likelihood estimator (MELE) of Qin and Lawless (1994). Using a kernel smoothing method, we efficiently incorporate the information implied by the conditional moment restrictions into our empirical likelihood‐based procedure. This yields a one‐step estimator which avoids estimating optimal instruments. Our likelihood ratio‐type statistic for parametric restrictions does not require the estimation of variance, and achieves asymptotic pivotalness implicitly. The estimation and testing procedures we propose are normalization invariant. Simulation results suggest that our new estimator works remarkably well in finite samples.     

Variations in trusteeship: cases from Boston and Cleveland, 1925–1985

Case studies suggest that important changes in the composition and structure of boards of trustees of non-profit organisations have occurred in recent decades. The nature of these changes, and how they may vary across industry and locale, are not well documented. This pilot study compares changes in structure and board membership of three elite non-profit organisations in two cities at three points in time: 1925, 1955 and 1985. This study focuses on governing boards of the major art museum, largest non-profit hospital and local United Way of Boston and Cleveland. Board members' biographical data are used to assess models of board diversification based on environmental pressures and changes in local elites. We find evidence that trusteeship varies historically, regionally and across industries, and we set the stage for broader-based empirical comparative work on changes in non-profit boards of trustees.     

Analysis of ordered covariate effects among groups with repeated measurements

Testing procedures for ordered covariate effects are developed in the repeated measures experiment. The maximum likelihood estimators of covariate effects under the ordered hypothesis are approximated by the isotonic regression of their unconstrained estimators. The asymptotic null distributions of the test statistics are chi-bar-square distributions which are mixtures of chi-square distributions. A Monte-Carlo simulation reveals that the proposed test for ordered covariate effects is seriously more powerful than the usual chi-square test that neglects the information on the order restriction. These testing methods are applied for analyzing the effect of vitamin E diet supplement on growth rate of animals.     

Social disclosure among Korean domestic adoptive parents: the role of self-esteem

This study examines the relationship among involuntary childlessness, social support, and social disclosure of Korean domestic adoptive parents. Data were collected from a sample of 90 such parents who had already disclosed the adoption to their child. Path analysis revealed that involuntary childlessness does not directly affect social disclosure of adoption, but it does affect the self-esteem of adoptive parents, and parental self-esteem was significantly and positively related to social disclosure. Social support reinforces the self-esteem of adoptive parents, thus contributing to the social disclosure of adoption. This research highlights the importance of pre- and post-adoption counselling that address the unique experiences of adoptive families in South Korea.     

Log-linear models for mutations in the HIV genome

We discuss a general application of categorical data analysis to mutations along the HIV genome. We consider a multidimensional table for several positions at the same time. Due to the complexity of the multidimensional table, we may collapse it by pooling some categories. However, the association between the remaining variables may not be the same as before collapsing. We discuss the collapsibility of tables and the change in the meaning of parameters after collapsing categories. We also address this problem with a log-linear model. We present a parameterization with the consensus output as the reference cell as is appropriate to explain genomic mutations in HIV. We also consider five null hypotheses and some classical methods to address them. We illustrate methods for six positions along the HIV genome, through consideration of all triples of positions.     

Goodness-of-fit test for uniform stochastic ordering among several distributions

The likelihood-ratio test (LRT) is considered as a goodness-of-fit test for the null hypothesis that several distribution functions are uniformly stochastically ordered. Under the null hypothesis, H₁ : F₁ ? F₂ ?···? F_N, the asymptotic distribution of the LRT statistic is a convolution of several chi-bar-square distributions each of which depends upon the location parameter. The least-favourable parameter configuration for the LRT is not unique. It can be two different types and depends on the number of distributions, the number of intervals and the significance level α. This testing method is illustrated with a data set of survival times of five groups of male fruit flies.