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Modeling Distributional Effects of Macroeconomic Shocks: Increasing female participation and human capital in Turkey

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  • Osorio Rodarte, Israel

Abstract

The Global Income Distribution Dynamics is a top-down macro-micro simulation modeling framework used to generate counterfactual income distributions based on changes in economywide macroeconomic conditions. This paper documents latest innovations in the GIDD model. While it remains focused on the microeconomic underpinnings, this paper is intended to be used by macroeconomic modelers interested in adding an extra distributional modeling layer to simulations. Better coverage of harmonized household surveys permitted a more consistent treatment of macroeconomic inputs and allow for increased detail in the microeconomic model. Macro inputs from a recursive dynamic general equilibrium model and GIDD simulations suggest progressive distributional effects from increased female labor participation and human capital accumulation in Turkey. Possible future extensions to the modeling framework are discussed.

Suggested Citation

  • Osorio Rodarte, Israel, 2016. "Modeling Distributional Effects of Macroeconomic Shocks: Increasing female participation and human capital in Turkey," Conference papers 332777, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:332777
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    References listed on IDEAS

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    1. Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution in Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1383-1437, Elsevier.
    2. François Bourguignon & Maurizio Bussolo & Luiz A. Pereira da Silva, 2008. "The Impact of Macroeconomic Policies on Poverty and Income Distribution : Macro-Micro Evaluation Techniques and Tools," World Bank Publications - Books, The World Bank Group, number 6586.
    3. François Bourguignon & Francisco Ferreira & Phillippe Leite, 2008. "Beyond Oaxaca–Blinder: Accounting for differences in household income distributions," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 117-148, June.
    4. Maurizio Bussolo & Rafael E De Hoyos & Denis Medvedev, 2010. "Economic growth and income distribution: linking macro-economic models with household survey data at the global level," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 92-103.
    5. Devarajan, Shantayanan & Go, Delfin S. & Maliszewska, Maryla & Osorio-Rodarte, Israel & Timmer, Hans, 2015. "Stress-testing Africa's recent growth and poverty performance," Journal of Policy Modeling, Elsevier, vol. 37(4), pages 521-547.
    6. Ahmed, S. Amer & Cruz, Marcio & Go, Delfin S. & Maliszewska, Maryla & Osorio-Rodarte, Israel, 2014. "How significant is Africa's demographic dividend for its future growth and poverty reduction ?," Policy Research Working Paper Series 7134, The World Bank.
    7. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    8. Martin Wittenberg, 2010. "An introduction to maximum entropy and minimum cross-entropy estimation using Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 315-330, September.
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    Labor and Human Capital;

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