Health Insurance and Health Care Demand Among the Self-employed

Zimmer, David M.

doi:10.1007/s12122-010-9081-6

Cited by 5 publications

(2 citation statements)

References 49 publications

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“…Health insurance is considered a potential benefit for health, which has led to a great deal of research by scholars on the subject. Numerous studies from a global perspective, in both developing and developed countries, have shown that health insurance can improve an individual's health status by increasing the utilization rate of health services [38][39][40].…”

Section: Possible Reasons For Gender Differences In the Health Level ...mentioning

confidence: 99%

Gender Differences in Migrant Workers Health in China

Tian¹,

Zhan²,

Wang³

2023

Int J Public Health

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Objectives: This study aimed to explore the distribution and differences in the health status of migrant workers in China by gender and age. In addition, it investigated the causes of health inequalities among them.Methods: This paper analyzes the differences in health status across age groups for migrant workers of different genders based on the data from the China Migrant Dynamic Survey in 2018. It also empirically assesses how education level and health insurance impact gender-related health inequalities.Results: The results suggest that female migrant workers in China have significantly lower health levels than males. Furthermore, these differences in health are exacerbated with age. This disparity may be attributed to lower participation in social insurance participation and less educational attainment among female migrant workers than their male counterparts.Conclusion: The government should take effective practical measures to increase the social insurance participation rate of female migrant workers. Moreover, investing in female education to reduce health inequality among migrant workers is essential.

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Section: Possible Reasons For Gender Differences In the Health Level ...mentioning

confidence: 99%

Gender Differences in Migrant Workers Health in China

Tian¹,

Zhan²,

Wang³

2023

Int J Public Health

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“…propose a simulation based full maximum likelihood method for single equation count data models (generalized to the case of multivariate counts by Fabbri and Monfardini, 2011). Zimmer (2010) adopts instead a two step procedure, following the suggestion of Terza et al (2008). This latter study stresses that in many non linear contexts replacing predicted endogenous variables in the second stage leads to inconsistent estimators, and points to 2SRI to obtain valid inference, including exogeneity tests.…”

Section: Introductionmentioning

confidence: 99%

Testing Exogeneity of Multinomial Regressors in Count Data Models: Does Two-stage Residual Inclusion Work?

Geraci

Fabbri

Monfardini

2016

Journal of Econometric Methods

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We study a simple exogeneity test in count data models with possibly endogenous multinomial treatment. The test is based on Two Stage Residual Inclusion (2SRI). Results from a broad Monte Carlo study provide novel evidence on important features of this approach in nonlinear settings. We …nd di¤erences in the …nite sample performance of various likelihood-based tests under correct speci…cation and when the outcome equation is misspeci…ed due to neglected over-dispersion or nonlinearity. We compare alternative 2SRI procedures and uncover that standardizing the variance of the …rst stage residuals leads to higher power of the test and reduces the bias of the treatment coe¢ cients. An original application in health economics corroborates our …ndings.JEL Classi…cation: C12, C31, C35, I11

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