The shapley value of age-period-cohort effects
نویسندگان
چکیده
The exact linear dependency among age, period and birth cohort makes it impossible to recover the true parameters of Age-Period-Cohort (APC) models. We then propose extract reliable information from APC models via Shapley decomposition, a model-agnostic procedure game theory that allows pin down most likely contribution each regressor in explaining variance dependent variable. rationale is predicted values are estimable allocation R2 regressors – interpreted here as “effects” satisfies desirable properties produces robust estimates, complementing existing methods. apply method U.S. unemployment rate.
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ژورنال
عنوان ژورنال: Journal of Applied Economics
سال: 2021
ISSN: ['1667-6726', '1514-0326']
DOI: https://doi.org/10.1080/15140326.2021.1932177