CREDIT CONSTRAINTS AND LABOR SUPPLY: EVIDENCE FROM BANK BRANCHING DEREGULATION

This paper examines labor supply adjustment-both at the intensive and extensive margins-following financial market development. Specifically, we exploit the staggered passage of bank branching deregulation in the United State to study the impact of relaxing credit constraints on labor supply decisions. We find strong evidence that improvements in how credit markets function decrease weekly hours worked, and that the effect is most significant for the lower-middle (marginal) income group. Furthermore, we observe heterogeneous responses across demo graphic groups (race and income). In contrast, we find little to no evidence that deregulation has a significant impact on the extensive margin of participation.     

Access to social protection among people with disabilities: Evidence from Viet Nam

Although people with disabilities are frequently targeted as key beneficiaries of social protection, little is known on their access to existing programmes. This study uses mixed methods to explore participation in disability‐targeted and non‐targeted social protection programmes in Viet Nam, particularly in the district of Cam Le. In this district, social assistance and health insurance coverage among people with disabilities was 53 per cent and 96 per cent respectively. However, few accessed employment‐linked social insurance and other disability‐targeted benefits (e.g. vocational training, transportation discounts). Factors affecting access included the accessibility of the application process, disability assessment procedures, awareness and the perceived utility of programmes, and attitudes on disability and social protection.     

Maximizing misinformation restriction within time and budget constraints

Online social networks have become popular media worldwide. However, they also allow rapid dissemination of misinformation causing negative impacts to users. With a source of misinformation, the longer the misinformation spreads, the greater the number of affected users will be. Therefore, it is necessary to prevent the spread of misinformation in a specific time period. In this paper, we propose maximizing misinformation restriction (\(\mathsf {MMR}\)) problem with the purpose of finding a set of nodes whose removal from a social network maximizes the influence reduction from the source of misinformation within time and budget constraints. We demonstrate that the \(\mathsf {MMR}\) problem is NP-hard even in the case where the network is a rooted tree at a single misinformation node and show that the calculating objective function is #P-hard. We also prove that objective function is monotone and submodular. Based on that, we propose an \(1{-}1/\sqrt{e}\)-approximation algorithm. We further design efficient heuristic algorithms, named \(\mathsf {PR}\)-\(\mathsf {DAG}\) to show \(\mathsf {MMR}\) in very large-scale networks.     

For Better,For Worse: Life Satisfaction Consequences of Migration1

This study explores the extension of microeconomic and migrant network theoretical frameworks for explaining perceived post‐migration life satisfaction of repeat (temporary) and more permanent labor force internal migrants in Thailand. Data from the 1992 National Migration Survey were used in logistic regression models to predict increased versus decreased post‐move satisfaction with employment situation, living environment, and community facilities. Contrary to the neoclassical migration theory assumption, results showed that migration was associated with decreased post‐move satisfaction. Microeconomic theory indicators were related to increased employment satisfaction but decreased post‐move satisfaction with living environment. For network theory indicators, the results showed the opposite pattern — related to improved living environment satisfaction but decreased employment post‐move satisfaction. Repeat (temporary) migrants were disadvantaged in post‐move employment satisfaction compared to more permanent single move labor force migrants.     

Social protection systems and the future of work: Ensuring social security for digital platform workers

Digitalization is transforming societies and economies worldwide at an unprecedented scale and pace. In the wake of automation and digitalization, new forms of employment have been emerging in various occupations and sectors, such as the digital platform economy. The emergence of new forms of employment, such as work on digital platforms, requires that existing social protection systems adapt to the specific situation and needs of such workers, as to realize the human right to social security for all. Current social protection coverage for workers on digital crowdwork platforms reveals significant gaps in social security coverage. Where such coverage exists, it is often provided through the workers’ previous or additional jobs, or indirectly through their spouses or other family members. This raises questions about digital platforms free riding on the traditional economy with regard to the financing of social security. How can social protection systems adapt to changing forms of work to ensure full and effective coverage for workers in all forms of employment, including those in “new” forms of employment? How can workers in all types of employment, including those on digital platforms, be protected in an adequate and comprehensive way, combining contributory and non‐contributory mechanisms and based on equitable and sustainable financing mechanisms, so as to ensure adequate social protection to all?     

The effects of sociocultural factors on older Asian Americans' access to care

Most Asian American elders are immigrants to the United States, and sociocultural factors such as English proficiency and immigration status are prominent factors in their lives. Using data from the California Health Interview Surveys to focus on Asian Americans over age 50, this study seeks to identify interethnic differences, and the effects of English proficiency and immigration status in the way older Asian Americans access healthcare. The results indicated that Asian ethnicity, English proficiency, and immigration status have significant independent effects on older Asian Americans' access to care. Implications for social work's role in addressing access disparities are discussed.