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Optimal consumption under uncertainty, liquidity constraints, and bounded rationality

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I study how boundedly rational agents can learn the solution to an infinite horizon optimal consumption problem under uncertainty and liquidity constraints. I present conditions for the existence of an optimal linear consumption rule and characterize it. Additionally, I use an empirically plausible theory of learning to generate a class of adaptive learning algorithms that converges to the optimal rule. This provides an adaptive and boundedly rational foundation to neoclassical consumption theory.

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  • Ömer Özak, 2012. "Optimal consumption under uncertainty, liquidity constraints, and bounded rationality," Departmental Working Papers 1204, Southern Methodist University, Department of Economics.
    • Handle: RePEc:smu:ecowpa:1204
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    Cited by:

    1. Anastasiou, Dimitris & Ftiti, Zied & Louhichi, Waël & Tsouknidis, Dimitris, 2023. "Household deposits and consumer sentiment expectations: Evidence from Eurozone," Journal of International Money and Finance, Elsevier, vol. 131(C).
    2. Howitt, Peter & Özak, Ömer, 2014. "Adaptive consumption behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 37-61.

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    More about this item

    Keywords

    Adaptive learning models; bounded rationality; dynamic programming; consumption function; behavioral economics; liquidity constraint; Markov process;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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