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Journal ArticleDOI

When Size Matters: IV Estimates of Sibship Size on Educational Attainment in the U.S.

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TLDR
In this paper, the authors apply instrumental variables methods that treat multiple births (e.g., twins, triplets) and same-sex composition as natural experiments to test whether increases in sibship size have a causal effect on the educational attainment of older siblings.
Abstract
Children with additional siblings appear to fare worse on a variety of developmental and educational outcomes across social contexts. Yet, the causal relation between sibship size and later attainment remains dubious, as factors that influence parents’ fertility decisions also shape children’s socioeconomic prospects. We apply instrumental variables methods that treat multiple births (e.g., twins, triplets) and same-sex composition as natural experiments to test whether increases in sibship size have a causal effect on the educational attainment of older siblings in the U.S. We pool several nationally representative datasets, including the Child and Young Adult Cohorts of the NLSY79 and the Panel Study of Income Dynamics, to obtain adequate sample sizes for these methods. Although results indicate that the presence of an additional sibling has a trivial effect on the attainment of older siblings for most families (those with two to four siblings), a large penalty arises with the introduction of a fifth sibling. Our findings imply that the costs associated with sibship size are likely concentrated among the largest families.

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Citations
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Journal ArticleDOI

The American Occupational Structure

TL;DR: The American Occupational Structure (AOS) as discussed by the authors is the classic source of empirical information on the patterns of occupational achievement in American society and is renowned for its pioneering methods of statistical analysis as well as for its far-reaching conclusions about social stratification and occupational mobility in the United States.
Posted Content

New evidence of the causal effect of family size on child quality in a developing country

TL;DR: In this article, the impact of family size on child labor and educational outcomes among Brazilian children and young adults by exploring the exogenous variation of family sizes driven by the presence of twins in the family was explored.
Book ChapterDOI

The Child Quantity–Quality Trade-Off

Angela Hobart
TL;DR: This article reviewed the growing literature on the child quantity-quality (QQ) trade-off and developed theoretical models of the child QQ tradeoff in the 1970s and 1980s.
Journal ArticleDOI

Comparison of educational performance between the only children and children in two-child families

Yehui Lao, +1 more
TL;DR: In this article , the causal effect of only-child status on educational performance among junior high school students from onlychild and two-child families in China was estimated. But the results showed that the only children's educational outcomes are significantly low than students from two child families, and the scale economies effect is strong and the resource dilution effect is weak when sibling size is small.
References
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ReportDOI

Instrumental variables regression with weak instruments

Douglas O. Staiger, +1 more
- 01 May 1997 - 
TL;DR: In this paper, the authors developed asymptotic distribution theory for instrumental variable regression when the partial correlation between the instruments and a single included endogenous variable is weak, here modeled as local to zero.
Book

The American occupational structure

TL;DR: The American Occupational Structure is renowned for its pioneering methods of statistical analysis as well as for its far-reaching conclusions about social stratification and occupational mobility in the United States.
Journal Article

Identification of Causal effects Using Instrumental Variables

TL;DR: In this paper, a framework for causal inference in settings where assignment to a binary treatment is ignorable, but compliance with the assignment is not perfect so that the receipt of treatment is nonignorable.
Journal ArticleDOI

Identification of Causal Effects Using Instrumental Variables

TL;DR: It is shown that the instrumental variables (IV) estimand can be embedded within the Rubin Causal Model (RCM) and that under some simple and easily interpretable assumptions, the IV estimand is the average causal effect for a subgroup of units, the compliers.
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When the size matters?

The paper is about the causal relationship between sibship size and educational attainment. It finds that the presence of an additional sibling has a trivial effect on older siblings' attainment, but a large penalty arises with the introduction of a fifth sibling.