混合比例危险模型中的主分层回归不连续设计:应用于教育对长寿的长期影响

IF 1.9 4区 经济学 Q2 ECONOMICS Empirical Economics Pub Date : 2024-01-27 DOI:10.1007/s00181-023-02553-0
Govert E. Bijwaard, Andrew M. Jones
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引用次数: 0

摘要

我们利用英格兰和威尔士的健康与生活方式调查数据,研究了教育对长寿的长期影响。我们使用混合比例危险模型对长寿进行了生存分析。为了进行识别,我们提出了一个回归不连续设计(Regression Discontinuity Design),该设计是由 1947 年最低离校年龄的提高(从 14 岁提高到 15 岁)所隐含的,并结合了一种主要分层方法来估算死亡率危险率。通过这种方法,我们可以得出延长教育对长寿的因果效应。与之前的研究一样,我们没有发现可信的证据表明改革导致的额外受教育年限对长寿产生了因果影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Regression discontinuity design with principal stratification in the mixed proportional hazard model: an application to the long-run impact of education on longevity

We investigate the long-run impact of education on longevity using data for England and Wales from the Health and Lifestyle Survey. Longevity is modelled by survival analysis using a mixed proportional hazard model. For identification we propose a Regression Discontinuity Design implied by an increase in the minimum school leaving age in 1947 (from 14 to 15) combined with a principal stratification method for estimation of the mortality hazard rate. This method allows us to derive the causal effect of extended education on longevity. In line with earlier studies we do not find credible evidence of a causal impact of the additional years of schooling that were induced by the reform on longevity.

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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
157
期刊介绍: Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data. Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement. Empirical Economics emphasizes the replicability of empirical results. Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics. Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).The journal follows a single blind review procedure. In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.Officially cited as: Empir Econ
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