The argmax is increasing in multipliers of the objective function under supermodularity conditions.
Is it true that the argmax is increasing in multipliers of the objective function under supermodularity conditions?
Yes. Under supermodularity conditions, the set of maximizers (argmax) of an objective function is known to be monotonically increasing with respect to multipliers or parameters of the function, as established in monotone comparative statics.
Verdict: SUPPORTED · 4 sources for, 0 against · Last checked
The retrieved papers include foundational and recent work in monotone comparative statics showing that supermodularity (and log-supermodularity) ensures that optimal solutions (such as argmax or equilibrium points) increase with parameters or multipliers. The evidence consistently supports the claim.
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Athey, S. (1996). Comparative Statics under Uncertainty : Single Crossing Properties and Log-Supermodularity. openalex.org. https://openalex.org/W1495410826
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Athey, S. (1995). CHARACTERIZING PROPERTIES OF STOCHASTIC OBJECTIVE FUNCTIONS. openalex.org. https://openalex.org/W1543670376
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Balbus, Ł., Dziewulski, P., Reffett, K., & Woźny, Ł. (2017). A qualitative theory of large games with strategic complementarities. doi.org. https://doi.org/10.1007/s00199-017-1075-7
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Balbus, Ł., Reffett, K., & Woźny, Ł. (2012). Markov Stationary Equilibria in Stochastic Supermodular Games with Imperfect Private and Public Information. doi.org. https://doi.org/10.1007/s13235-012-0065-4
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The retrieved papers include foundational and recent work in monotone comparative statics showing that supermodularity (and log-supermodularity) ensures that optimal solutions (such as argmax or equilibrium points) increase with parameters or multipliers. The evidence consistently supports the claim.
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