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Solving a Partial Equilibrium Model in a CGE Framework: The Case of a Behavioural Microsimulation Model

Author

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  • Xiao-guang Zhang

    (Productivity Commission, Melbourne, Australia.)

Abstract

This paper presents a simple approach to wrapping a computable general equilibrium (CGE) model around a behavioural microsimulation (BMS) model. The approach is akin to decomposing an integrated CGE model into a partial equilibrium (PE) or a BMS model and a ?residual? CGE model. This is likely to improve the BMS analysis when changes in labour supply are projected to be large. Specifically, this paper outlines how a household module with many households can be separated from the CGE model and how the resulting PE sub-model and CGE model can be solved iteratively, so that the equilibrium is identical to that obtained with an equivalent fully integrated model. The paper focuses on two challenges that arise when linking and solving the two models: how to find a convergent solution and how to ensure that it is a true general equilibrium solution. This involves ensuring that databases and theory in both models are consistent and fit exactly with each other. Some cases may require the use of a temporary slack variable to facilitate convergence. The approach has the potential to extend the range and quality of the analysis of policy-relevant issues.

Suggested Citation

  • Xiao-guang Zhang, 2017. "Solving a Partial Equilibrium Model in a CGE Framework: The Case of a Behavioural Microsimulation Model," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 27-58.
    • Handle: RePEc:ijm:journl:v10:y:2017:i:3:p:27-58
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    References listed on IDEAS

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    1. Rutherford, Thomas F. & Böhringer, Christoph, 2006. "Combining Top-Down and Bottom-up in Energy Policy Analysis: A Decomposition Approach," ZEW Discussion Papers 06-007, ZEW - Leibniz Centre for European Economic Research.
    2. John Cockburn & Luc Savard & Luca Tiberti, 2014. "Macro-Micro Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 275-304, Emerald Group Publishing Limited.
    3. Xiao-guang Zhang, 2017. "Solving a Partial Equilibrium Model in a CGE Framework: The Case of a Behavioural Microsimulation Model; APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 59-74.
    4. François Bourguignon & Maurizio Bussolo & Luis Pereira, 2008. "The Impact of Macroeconomic Policies on Poverty and Income Distribution," PSE-Ecole d'économie de Paris (Postprint) halshs-00754864, HAL.
    5. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
    6. repec:bla:ecorec:v:62:y:1986:i:179:p:427-41 is not listed on IDEAS
    7. Ahmed, Vaqar & O' Donoghue, Cathal, 2007. "CGE-Microsimulation Modelling: A Survey," MPRA Paper 9307, University Library of Munich, Germany.
    8. Melanie Arntz & Stefan Boeters & Nicole Gürtzgen & Stefanie Schubert, 2006. "Analysing Welfare Reform in a Microsimulation-AGE Model," Computing in Economics and Finance 2006 109, Society for Computational Economics.
    9. Arntz, Melanie & Boeters, Stefan & Gurtzgen, Nicole, 2006. "Alternative approaches to discrete working time choice in an AGE framework," Economic Modelling, Elsevier, vol. 23(6), pages 1008-1032, December.
    10. John Cockburn & Erwin L. Corong & Caesar B. Cororaton, 2008. "Poverty Effects of the Philippines’ Tariff Reduction Program: Insights from a Computable General Equilibrium Analysis," Asian Economic Journal, East Asian Economic Association, vol. 22(3), pages 289-319, September.
    11. Dixon, Peter B. & Pearson, K.R. & Picton, Mark R. & Rimmer, Maureen T., 2005. "Rational expectations for large CGE models: A practical algorithm and a policy application," Economic Modelling, Elsevier, vol. 22(6), pages 1001-1019, December.
    12. Unknown, 2001. "General Discussion," Proceedings of the 6th Agricultural and Food Policy Systems Information Workshop, 2000: Trade Liberalization Under NAFTA: Report Card on Agriculture 16839, Farm Foundation, Agricultural and Food Policy Systems Information Workshops.
    13. Cororaton, Caesar B. & Cockburn, John, 2007. "Trade reform and poverty--Lessons from the Philippines: A CGE-microsimulation analysis," Journal of Policy Modeling, Elsevier, vol. 29(1), pages 141-163.
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    More about this item

    Keywords

    CGE MODEL; PARTIAL EQUILIBRIUM MODEL; MICROSIMULATION MODEL;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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