The dynamics of the gradient between child's health and family income: Evidence from Canada

Wei, Lan; Feeny, David

doi:10.1016/j.socscimed.2019.02.033

Cited by 14 publications

(7 citation statements)

References 16 publications

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“…In contrast, Currie and Stabile (2003) found that the eect of a health shock on Canadian children's test scores and future health does not dier across socioeconomic groups. A recent study of Wei and Feeny (2019) conrmed this result. Authors found no evidence that Canadian children from low-income families suered more from poor health at birth than those of high-income families.…”

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confidence: 70%

“…The gures show that poor neonatal health may not disproportionately aect children growing up in high socioeconomic status families compared to children in lower socioeconomic classes. To explore these potential sources of heterogeneity in the eect of birth health status on early development, we analysed in line with Currie and Stabile (2003) and Wei and Feeny (2019) by adding an interaction term in the regression. We included the interaction of birth health and parental income and birth health and mothers' education.…”

Section: 3mentioning

confidence: 99%

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The role of health at birth and parental investment in early child development: evidence from the French ELFE cohort

Lavaine

Davin

2021

Eur J Health Econ

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This paper combines a theoretical and an empirical approach to address how health at birth aects child development? Using a simple theoretical model in which parents invest in their children, we identify the mechanisms through which better health at birth can improve child development. We also emphasise how parental socioeconomic status can shape the eects of health at birth. We perform an empirical analysis on a French cohort of children born in 2011, using a unique dataset ELFE. We identify the eect of birth weight and gestational age on child development at one year. The results indicate that only gestational age positively aects early development. We nd no empirical evidence for the existence of a severity eect, according to which the adverse eects of poor health at birth are higher for children in low-income families or with poorly educated mothers.

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confidence: 70%

Section: 3mentioning

confidence: 99%

The role of health at birth and parental investment in early child development: evidence from the French ELFE cohort

Lavaine

Davin

2021

Eur J Health Econ

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“…The indicators of the physical health of children are divided into subjective health rated variables and objective health indicators (Du et al, 2020;Idler and Benyamini, 1997;Boardman, 2006;Breidablik et al, 2009;Wei and Feeny, 2019). In CFPS, self-rated health was obtained by asking respondents "What do you think of your health?".…”

Section: Variablesmentioning

confidence: 99%

Health Inequality of Left-behind Children in Rural Regions: Evidence from China

Fan

Guan²,

Nicholas

et al. 2022

Preprint

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Background: In China, large-scale population movement and increased childcare costs have brought about a "care crisis" for rural children left-behind when their parents migrate to cities. The unprecedented scale of internal population migration poses multiple challenges to the health of left-behind children in rural areas. Rural left-behind children are currently experiencing insufficient caregiving capacity of intergenerational guardians; the impact of serious parental absences; inadequate nutritional and dietary support and healthy behaviours; limited health service utilization; and abnormally high levels of poor mental health.Purpose: Using 2016 China Family Panel Studies’ micro-data two issues were explored: What is the current status of health inequality in rural left-behind children, including the degree of health inequality and differences in health inequalities of left-behind children in different regions and different age groups; and, second, what are the socioeconomic factors (income deprivation, access to medical services, migrating parents) and inter-generational care arrangements that impacted the health inequality of left-behind children? Method: The health indicators of left-behind children were measured by the concentration index (CI), and the contribution of each socio-economic variable to health inequality was decomposed through the RIF-I-OLS model.Results: The health inequality of left-behind children in rural areas was pro-rich. Left-behind children under 5 years of age had the highest health inequality in all regions; the availability of medical services had a significant negative impact on the health inequality of left-behind children in rural areas, especially in the western provinces; income deprivation had a significant positive effect on the health inequality of left-behind children in rural areas, most notably in the eastern provinces; migrant parents had a negative, and intergenerational caregivers a positive, impact on the health inequality of left-behind children; and left-behind children in the western provinces suffered the largest negative impact on their health. Finally, left-behind children experienced relative health inequality due to their sex, education level and health endowments. Policy recommendations are advanced to address issues of health inequalities in rural left-behind children.

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“…But in our analysis, these variables did not pass the instrument validity test. Kuehnle (2014) and Wei and Feeny (2019) have used local area unemployment rates in this context. We used state unemployment rates as IV, but this variable had very little correlation with family income, and was subsequently dropped.…”

Section: Empirical Application: Income Gradient In Child Healthmentioning

confidence: 99%

Estimating Endogenous Ordered Response Panel Data Models with an Application to Income Gradient in Child Health

Lahiri

Liu

2020

Sankhya B

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In this paper, a control function approach is developed to deal with endogeneity issue in estimating panel data models with ordered response. This methodology is characterized by a two-step procedure, requiring only standard regression to be implemented in each step. To demonstrate the usefulness of our method, we investigate income gradient in child health based on U.S. data from the Panel Study of Income Dynamics. We find empirical evidence that income gradient rises during early childhood, followed by a decline after age 12. Ignoring endogeneity of family income and unobserved individual heterogeneity would underestimate the true gradient considerably.

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The dynamics of the gradient between child's health and family income: Evidence from Canada

Cited by 14 publications

References 16 publications

The role of health at birth and parental investment in early child development: evidence from the French ELFE cohort

The role of health at birth and parental investment in early child development: evidence from the French ELFE cohort

Health Inequality of Left-behind Children in Rural Regions: Evidence from China

Estimating Endogenous Ordered Response Panel Data Models with an Application to Income Gradient in Child Health

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