Determinants of female labor force participation: A study of Seoul,South Korea, 1970–1980

This paper investigates the determinants of labor force participation of women living in male-headed households in Seoul, South Korea, at two points in time, 1970 and 1980. Analysis of data from the 1970 and 1980 Korean Population Censuses suggests that both women's educational level and the family economic status determine women's labor force participation in Seoul. Women with middle school education or above are more economically active than those with no education. Women from lower economic backgrounds are almost two to three times more likely to be employed than those in high-status families, controlling for age, number of children under 6, and marital status. However, this pattern is not found among women from the blue-collar wage-working families.An earlier version of this paper was presented at the 1988 meetings of the Population Association of America.     

Unsettling research versus activism: how might critical disability studies disrupt traditional research boundaries?

Abstract

This article responds to the call for producing activist-oriented scholarship by engaging with theoretical and methodological approaches that explore the inclusion of women and girls with disabilities in Vietnam. We consider possibilities for connecting different forms of knowledge and activism by reflecting on research practices designed to foster social change. Specifically, we ask: how can critical disability studies be more reflexive about knowledge which privileges particular ways of knowing from the Global North? What alternative possibilities can exist to foster more inclusive and transformative knowledge that tackles systemic forms of oppressions in colonial and postcolonial contexts? Reflecting on an ongoing collaborative project in Vietnam, we argue that critical disability studies which engages with different forms of activism through critical reflections on our privileges can tackle exclusion by opening a new platform for debating social justice transnationally.     

Modified linear discriminant analysis using block covariance matrix in high-dimensional data

Among many classification methods, linear discriminant analysis (LDA) is a favored tool due to its simplicity, robustness, and predictive accuracy but when the number of genes is larger than the number of observations, it cannot be applied directly because the within-class covariance matrix is singular. Also, diagonal LDA (DLDA) is a simpler model compared to LDA and has better performance in some cases. However, in reality, DLDA requires a strong assumption based on mutual independence. In this article, we propose the modified LDA (MLDA). MLDA is based on independence, but uses the information that has an effect on classification performance with the dependence structure. We suggest two approaches. One is the case of using gene rank. The other involves no use of gene rank. We found that MLDA has better performance than LDA, DLDA, or K-nearest neighborhood and is comparable with support vector machines in real data analysis and the simulation study.     

Frailty modelling approaches for semi-competing risks data

Lifetime Data Analysis - In the semi-competing risks situation where only a terminal event censors a non-terminal event, observed event times can be correlated. Recently, frailty models with an...     

The 2015 welfare reform of the National Basic Livelihood Security System in South Korea: Effects on economic outcomes

In July 2015, South Korea’s National Basic Livelihood Security System (NBLSS) was reformed for the purposes of eliminating welfare blind spots and reducing poverty. The reform is expected to affect the recipients’ economic behaviours and choices. In this study, we used changes in benefits and eligibility for the NBLSS under the customised benefit system to identify the effects of the change in the NBLSS on a proposed set of economic outcomes – income, labour supply, consumption, savings, poverty reduction. To estimate the effects, we used data from the 10th–12th waves of the Korea Welfare Panel Study and employed a difference‐in‐differences framework integrated with the propensity scores. We found that the NBLSS helps the poor to reduce financial and material hardships through income and consumption increments, but that it does not provide disincentives to the recipients from participating in the labour market or from saving.     

Households’ Net Worth Accumulation Patterns and Young Adults’ Financial Health: Ripple Effects of the Great Recession?

We examined households’ dynamic patterns of net worth accumulation between 1999 and 2009 and asked whether these patterns related to the financial health of young adults growing up in those households. Two patterns of net worth emerged—the first remained high and stable and the second experienced a precipitous decline between 2007 and 2009. Young adults who grew up in households with high and stable net worth also experienced the greatest benefit in financial health. Given wealth losses in the wake of the Great Recession and the ripple effects those losses may have had—and may continue to have—on households and their children, policies that stimulate wealth accumulation may be feasible and timely strategies for improving financial health.     

Supply Chain Strategies and International Tax Arbitrage

What motivates the geographic footprint of the supply chains that multinational firms (MNFs) deploy? Traditional research in the operations and supply chain management literature tends to recommend locations primarily based on differentials in production costs and the ramifications of physical distance ignoring the role of taxation. MNFs that strategically position parts of their supply chains in low‐tax locations can allocate the profits across the divisions to improve post‐tax profits. For the profit allocation to be defensible to tax authorities, the divisional operations must possess real decision authority and bear meaningful risks. Generally speaking, the greater the transfer of risk and control, the larger the allowable allocation of profit. These transfers may also create inefficiencies due to misalignment of business goals and attitudes toward risk. We model these trade‐offs in the context of placing in a low‐tax region a subsidiary that oversees product distribution (as a limited risk distributor commissionnaire, limited risk distributor, or fully fledged distributor). Our analysis demonstrates that the MNF's preferences regarding the operating structures are not necessarily an obvious ordering based on the amount of risk and decision authority transferred to the division in the low‐tax jurisdiction. We derive and analyze threshold values of the performance parameters that describe the main trade‐offs involved in selecting an operating structure. We find some of the optimal decisions to exhibit interesting non‐monotone behavior. For instance, profits can increase when the tax rate in the low‐tax jurisdiction increases. Numerical analysis shows that the Limited‐Risk Distributor structure is rarely optimal and quantifies when each alternative dominates it.     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

使用汞分析器检测矿渣及水泥中的汞

以矿渣和水泥作为研究对象,采用汞分析器对其中的汞进行检测。水泥是一种建筑过程中广泛使用的高凝结材料。由于汞具有较大的毒性,因此必须严格检测建筑材料中汞的含量以降低其对人体的损害。作为水泥的替代物,矿渣具有许多的优点,例如价格低廉、毒性较小等。