Ill Health and Its Potential Influence on Household Consumptions in Rural China

Hong, Wang; ZHANG, LICHENG; HSIAO, WILLIAM

doi:10.1142/9789812814425_0018

Cited by 8 publications

(14 citation statements)

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“…A 2002 rural health insurance survey in two poor rural provinces in China showed that rural households spent 6.5% of their total expenditure on tobacco, and showed that for every 100 yuan spent on tobacco, there was a 30 yuan decrease in spending on education and a 15 yuan decrease on medical care. 9 23 A further study found that poor urban households spent 6.6% of their expenditure on cigarettes, and 11.3% in poor rural areas. Again, tobacco spending was associated with reductions in spending on other goods and services.…”

Section: Discussionmentioning

confidence: 96%

The impact of smoking and quitting on household expenditure patterns and medical care costs in China

Xin¹,

Qian²,

Xu³

et al. 2009

Tob Control

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Background: Smoking remains very common in Chinese men, and the economic burden caused by cigarette consumption on smokers and their families may be substantial. Using a large nationally representative household survey, the third National Health Services Survey (NHSS, 2003), we estimated the economic impact of smoking on households. Methods: Smoking status of all household members (over 15 years) was collected by interview for the NHSS, and households classified into one of seven categories based on their smoking status. Information on household income and expenditure, and use of health services was also obtained. We assessed both the “direct” costs (reducing funds available for spending on other commodities such as food, education, medical care, etc, using a fractional logit model), and “indirect costs” (increasing medical expenditures, using a log-linear model). Results: Every five packets of cigarettes consumed per capita per month reduces household spending on other commodities, most notably on education (by about 17 yuan per capita per annum) and medical care (11 yuan). The effects are greatest among low-income rural households. Households with quitters spend substantially more on medical care than never-smoking households (64 yuan for households with two or more quitters). Conclusions: If a household member smokes, there is less money available for commodities such as education and medical care. Medical care expenditure is substantially higher among households with quitters, as ill-health is the main reason for quitting smoking in China. Smoking impoverishes a substantial number of poorer rural households.

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Section: Discussionmentioning

confidence: 96%

The impact of smoking and quitting on household expenditure patterns and medical care costs in China

Xin¹,

Qian²,

Xu³

et al. 2009

Tob Control

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show abstract

“…In China, catastrophic medical spending is an increasingly important cause of poverty in rural areas (Kaufman, 2005;Liu and Hsiao, 2001;Wang, Zhang and Hsiao, 2006). The problem may be particularly pronounced in China's poorest rural populations.…”

Section: Introductionmentioning

confidence: 99%

Poverty, parental ill health and children's access to schooling in rural Gansu, China

Hannum

Sargent

2009

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“…Hermalin and Wallace (1994), Wang, et al (2006), Pu, et al (2008 and Yin, et al (2010) use a probit or logit fractional specification for each of the deterministic components of (1). However, each equation is estimated individually, so predicted shares do not necessarily fall within the unit simplex, irrespective of deleting one equation from the system (the predicted share for equation M may be negative) or not (the predicted shares do not sum up to unity).…”

Section: Frameworkmentioning

confidence: 99%

Regression Analysis of Multivariate Fractional Data

Murteira

Ramalho

2014

Econometric Reviews

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The present article discusses alternative regression models and estimation methods for dealing with multivariate fractional response variables. Both conditional mean models, estimable by nonlinear least squares and quasi-maximum likelihood, and fully parametric models (Dirichlet and Dirichlet-multinomial), estimable by maximum likelihood, are considered.In contrast to previous papers but similarly to the univariate case, a new parameterization is proposed here for the parametric models, which allows the same specification of the conditional mean of interest to be used in all models, irrespective of the specific functional form adopted for it. The text also discusses at some length the specification analysis of fractional regression models, proposing several tests that can be performed through artificial regressions. Finally, an extensive Monte Carlo study evaluates the finite sample properties of most of the estimators and tests considered.JEL classification code: C35.

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Ill Health and Its Potential Influence on Household Consumptions in Rural China

Cited by 8 publications

References 0 publications

The impact of smoking and quitting on household expenditure patterns and medical care costs in China

The impact of smoking and quitting on household expenditure patterns and medical care costs in China

Poverty, parental ill health and children's access to schooling in rural Gansu, China

Regression Analysis of Multivariate Fractional Data

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