Family size, birth order, and tests of the quantity–quality model

Guo, Rufei; Yi, Junjian; Zhang, Junsen

doi:10.1016/j.jce.2016.09.006

Cited by 24 publications

(15 citation statements)

References 16 publications

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“…Apart from twins and sibling gender, the exogenous policy shock is also used to study the natural variation in family size. In the Chinese context, some studies have applied the famous One-Child Policy (OCP) to identify the trade-off, but the findings of these studies have also been inconsistent [18]. The relaxation of the policy was used as an exogenous shock, and the results showed that an additional child promoted the first-born child’s school attendance, which does not support the existence of a trade-off [7].…”

Section: Introductionmentioning

confidence: 99%

Quantity–Quality Trade-Off and Early Childhood Development in Rural Family: Evidence from China’s Guizhou Province

Zhong

Gao

Liu

et al. 2019

IJERPH

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This paper empirically investigates the causal effect of having siblings on the cognitive, language, motor, and social-emotional skills of infants under the age of 2 in rural families in Guizhou Province in China. The results are based on data from a survey conducted in 2017. To effectively relieve the endogeneity induced by selection bias, we applied the matching-smoothing (MS) method to evaluate the effects of having siblings. The results show that, first, having siblings produces significant negative impacts on an infant’s cognitive, language, and social-emotional skills; second, intrahousehold resource allocation is the mechanism behind the Quantity–Quality (Q–Q) trade-off, and it exerts its effects through two key identified channels—the home environment and parental warmth. By spreading the parents’ investment among siblings in terms of both the home environment and parental warmth, having siblings hinders infants’ early development. Our findings provide new evidence for the relation between the Q–Q trade-off and early childhood development in rural families in western China.

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Section: Introductionmentioning

confidence: 99%

Quantity–Quality Trade-Off and Early Childhood Development in Rural Family: Evidence from China’s Guizhou Province

Zhong

Gao

Liu

et al. 2019

IJERPH

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“…Thus, the variable satisfies the monotonicity assumption in the two-stage estimation. We control for other variables, such as education, to mitigate the direct impact of the number of siblings on the child's income through the child quantity-quality tradeoff (22). As expected, the number of siblings is highly negatively correlated with the probability that the CFPS records income information, presented in column (1) in Table S3.…”

Section: Intergenerational Income Rank-rank Slopementioning

confidence: 89%

“…Chu and Koo (21) find that an increase in the fertility of the poor will exacerbate income inequality. The argument is straightforward: Children born in larger families receive less human capital investment because of resource dilution, as predicted by the child quantity-quality trade-off theory (22); because fertility differentials between rich and poor thus result in differences in human capital investment for children in these two types of families; and because human capital is a major determinant of income, income inequality arises.…”

Section: Differential Fertility Inequality and Intergenerational Momentioning

confidence: 99%

The One-Child Policy Amplifies Economic Inequality Across Generations in China

Fan

2020

SSRN Journal

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Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

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“…Indeed, small families can assign large amounts of attention and resources to their children while large families can allocate little resources to each child. To summarize this idea, we consider a contribution from high fertility rates (FR) which clearly constrain the formation of human capital [ 22 , 23 ].…”

Section: Methodsmentioning

confidence: 99%

Are average years of education losing predictive power for economic growth? An alternative measure through structural equations modeling

et al. 2019

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The accumulation of knowledge required to produce economic value is a process that often relates to nations economic growth. Some decades ago many authors, in the absence of other available indicators, used to rely on certain measures of human capital such as years of schooling, enrollment rates, or literacy. In this paper, we show that the predictive power of years of education as a proxy for human capital started to dwindle in 1990 when the schooling of nations began to be homogenized. We developed a structural equation model that estimates a metric of human capital that is less sensitive than average years of education and remains as a significant predictor of economic growth when tested with both cross-section data and panel data.

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Family size, birth order, and tests of the quantity–quality model

Cited by 24 publications

References 16 publications

Quantity–Quality Trade-Off and Early Childhood Development in Rural Family: Evidence from China’s Guizhou Province

Quantity–Quality Trade-Off and Early Childhood Development in Rural Family: Evidence from China’s Guizhou Province

The One-Child Policy Amplifies Economic Inequality Across Generations in China

Are average years of education losing predictive power for economic growth? An alternative measure through structural equations modeling

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