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Time and State Dependence in an Ss Decision Experiment
Author(s) -
Jacopo Magnani,
Aspen Gorry,
Ryan Oprea
Publication year - 2015
Publication title -
american economic journal macroeconomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.443
H-Index - 61
eISSN - 1945-7707
pISSN - 1945-7715
DOI - 10.1257/mac.20130267
Subject(s) - earnings , state dependent , brownian motion , state (computer science) , state variable , variable (mathematics) , econometrics , flow (mathematics) , mathematics , economics , statistical physics , microeconomics , control theory (sociology) , statistics , physics , mathematical economics , mathematical analysis , thermodynamics , algorithm , geometry , finance , control (management) , management
Flow earnings in a laboratory experiment decline the further a Brownian state variable, z, evolves from its optimal level, z*. Optimal state dependent models predict subjects will pay a fixed cost to return z to z* only when z strays outside a critical inaction region around the optimum. On average, subjects adjust at states remarkably close to optimal threshold levels but, as in the field, do not establish true "state dependent" inaction regions, suggesting significant "time dependent" components in adjustment rules. Structural estimates of subjective observation cost qualitatively account for variation in time dependence observed across treatments. (JEL C91, D21, D80)

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