IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v54y2016icp591-599.html
   My bibliography  Save this article

Does the microsimulation approach used in macro–micro modelling matter? An application to the distributional effects of capital outflows during Argentina's Currency Board regime

Author

Listed:
  • Debowicz, Darío

Abstract

We provide a novel comparison between the behavioural and the non-parametric microsimulation approach. Coupled with a CGE model, we consider the distributional effects of the significant capital outflows faced by the Argentinean economy at the end of its Currency Board, in a context with significant macroeconomic similarities to the present crisis in Greece. Both the relatively straightforward ‘non-parametric’ approach and the more complex behavioural approach lead to distributional results that are consistent with the data, suggesting that both are viable alternatives. Looking forward, it would be desirable for researchers to look for additional evidence regarding the distributional effects that these microsimulation models can illuminate for given macroeconomic shocks.

Suggested Citation

  • Debowicz, Darío, 2016. "Does the microsimulation approach used in macro–micro modelling matter? An application to the distributional effects of capital outflows during Argentina's Currency Board regime," Economic Modelling, Elsevier, vol. 54(C), pages 591-599.
  • Handle: RePEc:eee:ecmode:v:54:y:2016:i:c:p:591-599
    DOI: 10.1016/j.econmod.2016.01.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999316000304
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2016.01.018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Philip Arestis & Santonu Basu & Sushanta Mallick, 2005. "Financial globalization: the need for a single currency and a global central bank," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 27(3), pages 507-531.
    2. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 77-106, April.
    3. Harrigan, Frank & McGregor, Peter G. & Dourmashkin, Neil & Perman, Roger & Swales, Kim & Yin, Ya Ping, 1991. "AMOS : A macro-micro model of Scotland," Economic Modelling, Elsevier, vol. 8(4), pages 424-479, October.
    4. Rob Vos & Marco V. Sánchez, 2010. "A non-parametric microsimulation approach to assess changes in inequality and poverty," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 8-23.
    5. Sanders Korenman & David Neumark, 1991. "Does Marriage Really Make Men More Productive?," Journal of Human Resources, University of Wisconsin Press, vol. 26(2), pages 282-307.
    6. 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.
    7. Nicolas Hérault, 2010. "Sequential linking of Computable General Equilibrium and microsimulation models: a comparison of behavioural and reweighting techniques," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 35-42.
    8. Almeida dos Reis, Jose Guilherme & Paes de Barros, Ricardo, 1991. "Wage inequality and the distribution of education : A study of the evolution of regional differences in inequality in metropolitan Brazil," Journal of Development Economics, Elsevier, vol. 36(1), pages 117-143, July.
    9. Martin Ravallion & Shaohua Chen & Prem Sangraula, 2009. "Dollar a Day Revisited," The World Bank Economic Review, World Bank, vol. 23(2), pages 163-184, June.
    10. Breisinger, Clemens & Ecker, Olivier, 2014. "Simulating economic growth effects on food and nutrition security in Yemen: A new macro–micro modeling approach," Economic Modelling, Elsevier, vol. 43(C), pages 100-113.
    11. Verikios, George & Zhang, Xiao-guang, 2015. "Reform of Australian urban transport: A CGE-microsimulation analysis of the effects on income distribution," Economic Modelling, Elsevier, vol. 44(C), pages 7-17.
    12. Verikios, George & Zhang, Xiao-guang, 2013. "Structural change in the Australian electricity industry during the 1990s and the effect on household income distribution: A macro–micro approach," Economic Modelling, Elsevier, vol. 32(C), pages 564-575.
    13. Jeffrey S. Gray, 1997. "The Fall in Men's Return to Marriage: Declining Productivity Effects or Changing Selection?," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 481-504.
    14. Agenor, Pierre-Richard & Izquierdo, Alejandro & Fofack, Hippolyte, 2003. "The integrated macroeconomic model for poverty analysis : a quantitative macroeconomic framework for the analysis of poverty reduction strategies," Policy Research Working Paper Series 3092, The World Bank.
    15. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2008. "Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 149-184, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fofana, Ismaël & Omolo, Miriam W. O. & Goundan, Anatole & Magne Domgho, Léa Vicky & Collins, Julia & Marti, Estefania, 2019. "NAIP toolkit for Malabo domestication: Economic modeling of agricultural growth and investment strategy, case study of Kenya," IFPRI discussion papers 1813, International Food Policy Research Institute (IFPRI).
    2. Matteo Richiardi & John Cockburn & Hélène Maisonnave & Luca Tiberti, 2016. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 1-4.
    3. Maria Priscila Ramos & Estefania Custodio & Sofia Jimenez & Alfredo Mainar Causape & Pierre Boulanger & Emanuele Ferrari, 2020. "Assessing market incentive policies in Kenya with a food security and nutrition perspective: a macro-microsimulation approach," JRC Research Reports JRC119390, Joint Research Centre.
    4. Camara, Alhassane & Savard, Luc, 2023. "Impact of agricultural input subsidy policy on market participation and income distribution in Africa: A bottom-up/top-down approach," Economic Modelling, Elsevier, vol. 129(C).
    5. Matteo Richiardi & John Cockburn & Helene Maisonnave & Luca Tiberti, 2016. "Editorial," Post-Print hal-02314206, HAL.
    6. Hughes, Neal & Soh, Wei Ying & Lawson, Kenton & Lu, Michael, 2022. "Improving the performance of micro-simulation models with machine learning: The case of Australian farms," Economic Modelling, Elsevier, vol. 115(C).
    7. Luca Tiberti & Martin Cicowiez & John Cockburn, 2018. "A Top-Down with Behaviour (TDB) Microsimulation Toolkit for Distributive Analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 191-213.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van Ruijven, Bas J. & O’Neill, Brian C. & Chateau, Jean, 2015. "Methods for including income distribution in global CGE models for long-term climate change research," Energy Economics, Elsevier, vol. 51(C), pages 530-543.
    2. Fofana, Ismaël & Omolo, Miriam W. O. & Goundan, Anatole & Magne Domgho, Léa Vicky & Collins, Julia & Marti, Estefania, 2019. "NAIP toolkit for Malabo domestication: Economic modeling of agricultural growth and investment strategy, case study of Kenya," IFPRI discussion papers 1813, International Food Policy Research Institute (IFPRI).
    3. Debowicz, Dario & Golan, Jennifer, 2012. "The impact of Oportunidades on human capital and income distribution: a top-down/bottom-up approach," Conference papers 330252, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. Debowicz, Dario, 2011. "Modelling the effects of capital outflows on employment, poverty and inequality for Argentina," Conference papers 330249, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Debowicz, Darío & Golan, Jennifer, 2014. "The impact of Oportunidades on human capital and income distribution in Mexico: A top-down/bottom-up approach," Journal of Policy Modeling, Elsevier, vol. 36(1), pages 24-42.
    6. Matteo Richiardi & John Cockburn & Helene Maisonnave & Luca Tiberti, 2016. "Editorial," Post-Print hal-02314206, HAL.
    7. Matteo Richiardi & John Cockburn & Hélène Maisonnave & Luca Tiberti, 2016. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 1-4.
    8. Audrey Light & Yoshiaki Omori, 2009. "Economic Incentives and Family Formation," Working Papers 09-08, Ohio State University, Department of Economics.
    9. Nabanita Datta Gupta & Nina Smith & Leslie S. Stratton, 2007. "Is Marriage Poisonous? Are Relationships Taxing? An Analysis of the Male Marital Wage Differential in Denmark," Southern Economic Journal, John Wiley & Sons, vol. 74(2), pages 412-433, October.
    10. Niklas Jakobsson & Andreas Kotsadam, 2016. "Does marriage affect men’s labor market outcomes? A European perspective," Review of Economics of the Household, Springer, vol. 14(2), pages 373-389, June.
    11. Rodgers III, William M. & Stratton, Leslie S., 2005. "The Male Marital Wage Differential: Race, Training, and Fixed Effects," IZA Discussion Papers 1745, Institute of Labor Economics (IZA).
    12. Andreas Peichl, 2009. "The Benefits and Problems of Linking Micro and Macro Models — Evidence from a Flat Tax Analysis," Journal of Applied Economics, Taylor & Francis Journals, vol. 12(2), pages 301-329, November.
    13. Bonilla, Roberto & Kiraly, Francis, 2013. "Marriage wage premium in a search equilibrium," Labour Economics, Elsevier, vol. 24(C), pages 107-115.
    14. Dorothée Boccanfuso & Massa Coulibaly & Luc Savard & Govinda Timilsina, 2018. "Macroeconomic and Distributional Impacts of Jatropha Based Biodiesel in Mali," Economies, MDPI, vol. 6(4), pages 1-22, November.
    15. Ribar, David C., 2004. "What Do Social Scientists Know About the Benefits of Marriage? A Review of Quantitative Methodologies," IZA Discussion Papers 998, Institute of Labor Economics (IZA).
    16. George Verikios & Xiao-guang Zhang, 2016. "Structural change and income distribution: the case of Australian telecommunications," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(4), pages 549-570, October.
    17. Harry A. Krashinsky, 2004. "Do Marital Status and Computer Usage Really Change the Wage Structure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
    18. 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.
    19. Banerjee, Onil & Cicowiez, Martin & Gachot, Sébastien, 2015. "A quantitative framework for assessing public investment in tourism – An application to Haiti," Tourism Management, Elsevier, vol. 51(C), pages 157-173.
    20. Cornaglia, Francesca & Feldman, Naomi E., 2011. "Productivity, Wages, and Marriage: The Case of Major League Baseball," IZA Discussion Papers 5695, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Economic modelling; Macro–micro modelling; CGE; Microsimulations; Income distribution; Argentina;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:54:y:2016:i:c:p:591-599. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.