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MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis

In: Handbook of Computable General Equilibrium Modeling

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  • Lofgren, Hans
  • Cicowiez, Martin
  • Diaz-Bonilla, Carolina

Abstract

This chapter presents MAMS (Maquette for MDG Simulations), a recursive-dynamic CGE model developed at the World Bank for analysis of medium- to long-run country strategies for low- and middle-income countries, including strategies aimed at improving MDG (Millennium Development Goals) outcomes. Compared to other CGE models, MAMS offers a unique combination of new and policy-relevant features, most importantly disaggregation of the government services by function, broad and integrated coverage of MDGs and endogenous links between education and the labor market. The chapter provides a detailed description of MAMS, the policy insights that it has generated, exemplified by a case study of Yemen and the lessons learned from developing and applying MAMS to a large number of countries.

Suggested Citation

  • Lofgren, Hans & Cicowiez, Martin & Diaz-Bonilla, Carolina, 2013. "MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis," 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 159-276, Elsevier.
  • Handle: RePEc:eee:hacchp:v:1:y:2013:i:c:p:159-276
    DOI: 10.1016/B978-0-444-59568-3.00004-3
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    References listed on IDEAS

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    Cited by:

    1. Sánchez, Marco V. & Cicowiez, Martín, 2014. "Trade-offs and Payoffs of Investing in Human Development," World Development, Elsevier, vol. 62(C), pages 14-29.
    2. Kabajulizi, Judith & Ncube, Mthuli, 2017. "Financing HIV/AIDS responses in Africa: Impact evidence from Uganda," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 843-860.
    3. Campagnolo, Lorenza & Davide, Marinella, 2019. "Can the Paris deal boost SDGs achievement? An assessment of climate mitigation co-benefits or side-effects on poverty and inequality," World Development, Elsevier, vol. 122(C), pages 96-109.
    4. Lorenza Campagnolo & Carlo Carraro & Fabio Eboli & Luca Farnia, 2015. "Assessing SDGs: A New Methodology to Measure Sustainability," Working Papers 2015.89, Fondazione Eni Enrico Mattei.
    5. Pierre Boulanger & Hasan Dudu & Emanuele Ferrari & Mainar Causape Alfredo & Ilaria Proietti, 2017. "Boosting the Fertilizer Production in Kenya: a CGE analysis," JRC Working Papers JRC104685, Joint Research Centre (Seville site).
    6. World Bank, 2011. "Uganda - Demography and Economic Growth in Uganda," World Bank Other Operational Studies 2811, The World Bank.
    7. Judith Kabajulizi & Judith Kabajulizi & Mthuli Ncube, 2015. "The economy wide impact of HIV/AIDS and the funding dilemma in Africa: Evidence from a dynamic life cycle horizon," EcoMod2015 8563, EcoMod.
    8. World Bank & International Monetary Fund, 2016. "Global Monitoring Report 2015/2016," World Bank Publications, The World Bank, number 22547, June.
    9. Nielsen, Hannah & Lofgren, Hans, 2011. "How important is the efficiency of government investment ? The case of the Republic of Congo," Policy Research Working Paper Series 5901, The World Bank.
    10. H. Pollitt & J. -F. Mercure, 2015. "The role of money and the financial sector in energy-economy models used for assessing climate policy," Papers 1512.02912, arXiv.org.
    11. Martín Cicowiez & Javier Alejo & Luciano Di Gresia & Sergio Olivieri & World Bank & Ana Pacheco, 2016. "Export Taxes, World Prices, and Poverty in Argentina: A Dynamic CGEMicrosimulation Analysis [model, Argentina. Classification-JEL: C68, D58, I38, E62]," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 24-54.
    12. Lofgren, Hans, 2012. "World food prices and human development: Policy simulations for archetype low-income countries," Policy Research Working Paper Series 6033, The World Bank.
    13. Delpiazzo, Elisa & Parrado, Ramiro & Standardi, Gabriele, 2017. "Extending the Public Sector in the ICES Model with an Explicit Government Institution," EIA: Climate Change: Economic Impacts and Adaptation 254041, Fondazione Eni Enrico Mattei (FEEM).
    14. Estrades, Carmen & Llambí, Cecilia & Perera, Marcelo & Rovira, Flavia, 2016. "Large-scale mining in a small developing country: Macroeconomic impacts of revenue allocation policies," Resources Policy, Elsevier, vol. 49(C), pages 433-443.
    15. Go, Delfin S. & Robinson, Sherman & Thierfelder, Karen, 2016. "Natural resource revenue, spending strategies and economic growth in Niger," Economic Modelling, Elsevier, vol. 52(PB), pages 564-573.
    16. Ahmed, Syud Amer & Barış, Enis & Go, Delfin S. & Lofgren, Hans & Osorio-Rodarte, Israel & Thierfelder, Karen, 2018. "Assessing the global poverty effects of antimicrobial resistance," World Development, Elsevier, vol. 111(C), pages 148-160.
    17. Renato Vargas & Pamela Escobar & Maynor Cabrera & Javier Cabrera & Violeta Hernández & Vivian Guzmán & Martin Cicowiez, 2017. "Climate risk and food security in Guatemala," Working Papers MPIA 2017-01, PEP-MPIA.
    18. Campagnolo, Lorenza & Eboli, Fabio & Farnia, Luca & Carraro, Carlo, 2018. "Supporting the UN SDGs transition: Methodology for sustainability assessment and current worldwide ranking," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 12, pages 1-19.
    19. Lorenza Campagnolo & Fabio Eboli & Marinella Davide, 2016. "Can Paris deal boost SDGs achievement? An assesment of climate-sustainabilty co-benefits or side-effects," EcoMod2016 9635, EcoMod.
    20. John W McArthur & Jeffrey D Sachs, 2019. "Agriculture, Aid, and Economic Growth in Africa," World Bank Economic Review, World Bank Group, vol. 33(1), pages 1-20.
    21. Cristián Mardones P., 2014. "Complementarity between flat tax and conditional cash transfers to improve the income distribution in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(3), pages 04-27, December.
    22. Christian Otchia, 2014. "Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 3(1), pages 1-43, December.
    23. Sánchez Cantillo, Marco Vinicio, 2015. "Macroeconomic trade-offs and external vulnerabilities of human development in Nicaragua," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    24. Briones, Roehlano M., 2014. "Millennium Development Goals Scenarios to 2015 and Beyond: An Integrated Micro-Macro Modelling Approach," Discussion Papers DP 2014-12, Philippine Institute for Development Studies.
    25. Benfica, Rui & Cunguara, Benedito & Thurlow, James, 2019. "Linking agricultural investments to growth and poverty: An economywide approach applied to Mozambique," Agricultural Systems, Elsevier, vol. 172(C), pages 91-100.

    More about this item

    Keywords

    Computable general equilibrium model; millennium development goals; human development; fiscal policy;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General

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