Estimating the Effects of Residential Mobility: A Methodological Note

被引:29
作者
Garboden, Philip Me [1 ]
Leventhal, Tama [2 ]
Newman, Sandra [3 ]
机构
[1] Johns Hopkins Univ, Dept Sociol, Baltimore, MD 21218 USA
[2] Tufts Univ, Urban & Environm Policy & Planning, Medford, MA 02155 USA
[3] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, 615 N Wolfe St, Baltimore, MD USA
基金
美国国家科学基金会;
关键词
Mobility; child development; methodology; causality; HIGH-SCHOOL DROPOUT; CHILD-DEVELOPMENT; STUDENT MOBILITY; FAMILY-STRUCTURE; EDUCATIONAL-ATTAINMENT; ACADEMIC-ACHIEVEMENT; ADOLESCENT VIOLENCE; HOUSING INSTABILITY; SWITCHING SCHOOLS; PROBLEM BEHAVIOR;
D O I
10.1080/01488376.2017.1282392
中图分类号
C916 [社会工作、社会管理、社会规划];
学科分类号
1204 ;
摘要
This article reviews the methodological challenges of estimating a causal association between mobility and children's cognitive, social, emotional, and physical development. Utilizing a comprehensive set of empirical articles published in the past 25 years that employ quantitative methods, it describes the limitations of previous studies and the innovative ways that researchers have attempted to deal with them. The concept of mobility is inconsistently operationalized along four dimensions: school versus residential, distance, timing, and frequency. Imprecise operationalization conflates different forms of mobility, which have differential effects on development. Attempts to estimate a causal association between mobility and development suffer from three sources of bias: selection, contextual shifts, and contemporaneous instigating events. (a) Methods that account for unobserved differences between mobile and nonmobile children have consistently shown smaller or even positive effects of mobility. (b) Moving can have a positive or negative effect on children's ecological contexts in ways that are systematically correlated with child development. (c) Moves are frequently catalyzed by changes in family structure and employment. The article concludes with recommendations for future research. Researchers should continue to engage fixed-and random-effect, matching, and instrumental variable techniques, each of which makes the question of causality explicit.
引用
收藏
页码:246 / 261
页数:16
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