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Endogenous Savings Rate with Forward-Looking Households in a Recursive Dynamic CGE Model: Application to South Africa

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  • André Lemelin

Abstract

In the vast majority of recursive dynamic CGE models, the savings rate is constant and exogenous. Intertemporal CGE models, by contrast, are solved simultaneously for all periods, and agents optimize intertemporally. But the theoretical consistency of intertemporal optimization is achieved only at the cost of more aggregated, less detailed models, due to computational limitations. In some applications, therefore, recursive dynamics should be preferred to intertemporal dynamics for practical reasons of computability. This paper presents a recursive dynamic CGE model in which households determine their savings rate from intertemporal optimization, by solving a simplified form of their intertemporal problem. This approach we call « truncated rational expectations » (TRE). In the TRE framework, households have rational expectations for the current period and the following one. Accordingly, the model is solved simultaneously for two periods at a time, the current period ? and the following one. Household (rational) expectations for period ? +1 are given by the model solution. For subsequent periods, household expectations are formed by extrapolating from ? and ? +1 solution values, assuming a constant rate of change. The TRE framework is implemented in a modified version of the Decaluwé et al. (2013) PEP-1-t model, and applied to South Africa, using a 2005 SAM by Davies and Thurlow (2011). Several simulations are run, with two variants of the 2005 SAM, the original one and a modified one with a high initial household savings rate. The results are compared with those of a static expectations model with intertemporal optimization, and of a fixed-savings rate model. The main difference is that in the first two models, the household savings rate is not constant, even in the BAU scenario. It is also responsive to changes in the rate of return on assets. On the other hand, an exogenous reduction in household wealth has very little effect.

Suggested Citation

  • André Lemelin, 2014. "Endogenous Savings Rate with Forward-Looking Households in a Recursive Dynamic CGE Model: Application to South Africa," Working Papers MPIA 2014-06, PEP-MPIA.
    • Handle: RePEc:lvl:mpiacr:2014-06
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    References listed on IDEAS

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    1. Simon, Herbert A, 1978. "Rationality as Process and as Product of Thought," American Economic Review, American Economic Association, vol. 68(2), pages 1-16, May.
    2. Paul Grauwe, 2010. "The scientific foundation of dynamic stochastic general equilibrium (DSGE) models," Public Choice, Springer, vol. 144(3), pages 413-443, September.
    3. Lluch, Constantino, 1973. "The extended linear expenditure system," European Economic Review, Elsevier, vol. 4(1), pages 21-32, April.
    4. Howe, Howard, 1975. "Development of the extended linear expenditure system from simple saving assumptions," European Economic Review, Elsevier, vol. 6(3), pages 305-310, July.
    5. Babiker, Mustafa & Gurgel, Angelo & Paltsev, Sergey & Reilly, John, 2009. "Forward-looking versus recursive-dynamic modeling in climate policy analysis: A comparison," Economic Modelling, Elsevier, vol. 26(6), pages 1341-1354, November.
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    More about this item

    Keywords

    Computable general equilibrium models; recursive dynamic models; intertemporal optimization; household savings;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D1 - Microeconomics - - Household Behavior
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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