Replication data for: Dynamic Noisy Signaling
Principal Investigator(s): View help for Principal Investigator(s) Sander Heinsalu
Version: View help for Version V1
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Project Citation:
Heinsalu, Sander. Replication data for: Dynamic Noisy Signaling. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114363V1
Project Description
Summary:
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This article studies costly signaling. The signaling effort is chosen in multiple periods and observed with noise. The signaler benefits from the belief of the market, not directly from the effort or the signal. Optimal signaling behavior in time-varying environments trades off effort-smoothing and influencing belief exactly when it yields a return. If the return to signaling first increases over time and then decreases, then the optimal effort rises slowly, reaches its maximum before the return does, and declines quickly. Advertising data displays this pattern.
Scope of Project
JEL Classification:
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C73 Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
D12 Consumer Economics: Empirical Analysis
D82 Asymmetric and Private Information; Mechanism Design
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
M31 Marketing
M37 Advertising
C73 Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
D12 Consumer Economics: Empirical Analysis
D82 Asymmetric and Private Information; Mechanism Design
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
M31 Marketing
M37 Advertising
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