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学校过渡模型中未测量的异质性研讨会介绍

Introduction to symposium on unmeasured heterogeneity in school transition models.

作者信息

Mare Robert D

机构信息

University of California - Los Angeles, UCLA 208 Haines Hall, Los Angeles, CA 90095, USA

出版信息

Res Soc Stratif Mobil. 2011 Sep 1;29(3):239-245. doi: 10.1016/j.rssm.2011.05.004.

Abstract

Researchers have used models of school transitions for over 30 years to describe inequality of educational opportunity and have contributed a number of important refinements and extensions. School transition models have the complication that the estimated effects of family background on the probability of continuing in school are affected by differential attrition on unobserved factors at earlier stages of schooling. The articles in this symposium present a variety of useful approaches to unobserved heterogeneity in school transition models. Investigators who use these approaches should attend to several issues: (1) models for school transitions may be used both descriptively (and are not therefore subject to any well-defined "bias") and as tools for causal inference. (2) The concept of bias presupposes an underlying experiment, structural model, or population model that would, in principle, define the corresponding unbiased parameters - yet these underlying models are difficult to specify for school transition models. (3) Unobserved determinants of whether individuals make school transitions may be both exogenous and endogenous with respect to the observed regressors in the model. Without a model of how unobserved heterogeneity arises, attempted "corrections" for unmeasured heterogeneity may yield misleading estimates of the effects of measured determinants of school continuation.

摘要

30多年来,研究人员一直使用学校过渡模型来描述教育机会的不平等,并做出了一些重要的改进和扩展。学校过渡模型存在一个复杂问题,即家庭背景对继续上学概率的估计影响会受到早期教育阶段未观察到的因素导致的不同程度流失的影响。本次研讨会的文章提出了多种处理学校过渡模型中未观察到的异质性的有用方法。使用这些方法的研究人员应注意几个问题:(1)学校过渡模型既可以用于描述性目的(因此不受任何明确的“偏差”影响),也可以用作因果推断的工具。(2)偏差的概念预先假定了一个潜在的实验、结构模型或总体模型,原则上这些模型会定义相应的无偏参数——然而,对于学校过渡模型来说,这些潜在模型很难确定。(3)个人是否进行学校过渡的未观察到的决定因素对于模型中观察到的回归变量可能既是外生的又是内生的。如果没有一个关于未观察到的异质性如何产生的模型,试图对未测量的异质性进行“校正”可能会对学校继续就读的测量决定因素的影响产生误导性估计。

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本文引用的文献

1
VALUES AND LIMITATIONS OF STATISTICAL MODELS.
Res Soc Stratif Mobil. 2011 Sep 1;29(3):343-349. doi: 10.1016/j.rssm.2011.04.001.
3
Education and social background.
AJS. 1967 Jan;72(4):363-72. doi: 10.1086/224335.

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