What makes a satisfying life? Prediction and interpretation with machine-learning algorithms
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- Andrew E. Clark & Conchita D'Ambrosio & Niccolo Gentile & Alexandre Tkatchenko, 2022. "What makes a satisfying life? Prediction and interpretation with machine-learning algorithms," CEP Discussion Papers dp1853, Centre for Economic Performance, LSE.
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As found by EconAcademics.org, the blog aggregator for Economics research:- No title
by maximorossi in NEP-LTV blog on 2023-03-01 10:32:26
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More about this item
Keywords
life satisfaction; well-being; machine learning; British cohort study;All these keywords.
JEL classification:
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2023-02-13 (Big Data)
- NEP-CMP-2023-02-13 (Computational Economics)
- NEP-HAP-2023-02-13 (Economics of Happiness)
- NEP-LTV-2023-02-13 (Unemployment, Inequality and Poverty)
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