Growth and Likelihood

Working Paper: CEPR ID: DP18339

Authors: Larry Samuelson; Jakub Steiner

Abstract: We examine a stochastic growth process that can alternatively be interpreted as a model of economic growth, financial portfolio management, statistical inference, or biological population growth. For the economic interpretation, we find that the growth-maximizing policy satisfies a meritocracy principle: it minimizes the discrepancy between the resource shares allocated to the agents and the agents' ``merits.'' For the statistical interpretation, the setting is equivalent to a model of predictive coding, in which a misspecified system maximizes the fit of data. A consistency principle analogous to the meritocracy principle requires the optimal fit to minimize a degree of Bayes inconsistency.

Keywords: No keywords provided

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
wealth allocation (G11)individual merit (I24)
large deviations in wealth accumulation (D31)stochastic growth (O49)
increases in productivity (O49)favorable allocation of resources (D61)
favorable allocation of resources (D61)enhanced growth (O40)
increases in productivity (O49)growth-maximizing policy (L21)
growth-maximizing policy (L21)resource allocation (H61)

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