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Disentangling Age, Time, and Cohort Effects in Income Inequality: A Proxy Machine Learning Approach

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NBER2025-10-01 更新2025-10-25 收录
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https://www.nber.org/papers/w34380
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A canonical finding from earlier research is that the cross-sectional variance of income increases sharply with age Deaton and Paxson (1994). However, the trend in this age profile is not separately identified from time and cohort trends. Conventional methods solve this identification problem by
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美国国家经济研究局
创建时间:
2025-10-01
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