Untitled

Peter, S. K.; Hsin, Ping-Lung

doi:10.1023/a:1022905409320

Cited by 13 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If support is found, policy makers should rethink public health safety net designs to reduce population health decline during economic downturns. Past health expenditure studies also found a positive and statistically significant effect of current, measured, or absolute income (Lago-Peñas et al 2013;Murthy and Okunade 2016), socio-demographic variables such as formal education (Aregbeshola and Khan 2018), age (Chi and Hsin 1999;Di Matteo 2005) and proximity to death (Howdon and Rice 2018).…”

Section: Data and Empirical Modelmentioning

confidence: 97%

A Double-Hurdle Model of Healthcare Expenditures across Income Quintiles and Family Size: New Insights from a Household Survey

Osmani

Okunade

2021

JRFM

View full text Add to dashboard Cite

The decision-making processes and outcomes of male and female household heads differ due to gender-based differences in preferences. In this paper, we assess the impact of this heterogeneity on household healthcare consumption in Thailand. Past studies modeling healthcare expenditures using household survey data used a gender dummy variable in regression models to control for household gender headship at the household level. Due to the endogeneity and self-selection bias in the past modelling approach, we separately modeled health expenditures for male and female household head decision makers. Using a household dataset from an earlier work, this study finds, using the double-hurdle model with dependent errors, that out-of-pocket health care spending tends to behave like a necessity across the income quintiles, household sizes, and differently for the separately modeled household gender heads. Moreover, male and female headed households responded differently to a major economic shock when adjusting household healthcare spending.

show abstract

Section: Data and Empirical Modelmentioning

confidence: 97%

A Double-Hurdle Model of Healthcare Expenditures across Income Quintiles and Family Size: New Insights from a Household Survey

Osmani

Okunade

2021

JRFM

View full text Add to dashboard Cite

show abstract

Investigating unmet health care needs under the National Health Insurance program in Taiwan: A latent class analysis

Tian

2018

Health Planning & Management

View full text Add to dashboard Cite

Summary Objectives In Taiwan, although the implementation of the National Health Insurance (NHI) program reduced financial barriers and enhanced accessibility for individuals to utilize health care services, an unequal distribution of medical care resources still exists. This paper is focusing on analyzing factors that are associated with unmet health care needs among the middle‐aged and elderly under the NHI in Taiwan. Methods Statistical analysis from the 2007 Survey of Health and Living Status of the Elderly in Taiwan. We firstly adopted latent class analysis to classify individuals' observable reasons for feeling unwell but not seeing a doctor within the last 3 months into three latent perceived barriers classes. We further used a multinomial probit regression model to analyze factors that are associated with each perceived barrier class to the access of health care service. Results Results indicate relative to the “relatively no barriers” class, individuals with a high level of educational attainment tend to more likely to be in the “accommodation barriers” class, and individuals live in the most developed areas with the densest medical facilities tend to less likely to be in the “accessibility barriers” class. Conclusions We identified possible risk factors for each perceived barrier, which could provide important insights for health authorities and medical providers when targeting policies and interventions to efficiently assist people in need.

show abstract