IDEAS home Printed from https://ideas.repec.org/p/wiw/wus051/8664.html
   My bibliography  Save this paper

Complex Systems Modeling of Community Inclusion Currencies

Author

Listed:
  • Clark, Andrew
  • Mihailov, Alexander
  • Zargham, Michael

Abstract

This paper proposes a complex dynamic system subpopulation model for the construction and validation of a novel form of local complementary currency, namely the Grassroots Economics Foundation’s Community Inclusion Currency (CIC) implemented recently in Kenya. First, we highlight that CICs can act as a local liquidity-provision institutional device in poor or isolated economic regions, thereby serving as a market-based mechanism to alleviate poverty. Second, we elicit 50 heterogeneous utility types according to observed transactions behavior in our rich data set, i.e., via revealed – and recorded – preferences, and build a corresponding model and simulation at a meso-economic level.

Suggested Citation

  • Clark, Andrew & Mihailov, Alexander & Zargham, Michael, 2022. "Complex Systems Modeling of Community Inclusion Currencies," Working Paper Series/Institute for Cryptoeconomics/Interdisciplinary Research 8664, WU Vienna University of Economics and Business.
  • Handle: RePEc:wiw:wus051:8664
    as

    Download full text from publisher

    File URL: https://epub.wu.ac.at/8664/
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Krueger, Anne O, 1990. "Government Failures in Development," Journal of Economic Perspectives, American Economic Association, vol. 4(3), pages 9-23, Summer.
    2. Andrew Clark & Alexander Mihailov, 2019. "Why private cryptocurrencies cannot serve as international reserves but central bank digital currencies can," Economics Discussion Papers em-dp2019-09, Department of Economics, University of Reading.
    3. Michael Zargham & Krzysztof Paruch & Jamsheed Shorish, 2020. "Economic Games as Estimators," Springer Proceedings in Business and Economics, in: Panos Pardalos & Ilias Kotsireas & Yike Guo & William Knottenbelt (ed.), Mathematical Research for Blockchain Economy, pages 125-142, Springer.
    4. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    5. Voshmgir, Shermin & Zargham, Michael, 2019. "Foundations of Cryptoeconomic Systems," Working Paper Series/Institute for Cryptoeconomics/Interdisciplinary Research 1, WU Vienna University of Economics and Business.
    6. Philip Arestis & Alexander Mihailov, 2011. "Classifying Monetary Economics: Fields And Methods From Past To Future," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 769-800, September.
    7. Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1998. "Dynamic Equilibrium Economies: A Framework for Comparing Models and Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 433-451.
    8. P Arestis & A Mihailov, 2009. "Flexible Rules cum Constrained Discretion: A New Consensus in Monetary Policy," Economic Issues Journal Articles, Economic Issues, vol. 14(2), pages 27-54, September.
    9. Martin S. Eichenbaum & Neil Wallace, 1985. "A shred of evidence on public acceptance of privately issued currency," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 9(Win).
    10. Zargham, Michael & Shorish, Jamsheed & Paruch, Krzysztof, 2019. "From Curved Bonding to Configuration Spaces," Working Paper Series/Institute for Cryptoeconomics/Interdisciplinary Research 7385, WU Vienna University of Economics and Business.
    11. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    12. Tomi Ovaska, 2003. "The Failure of Development Aid," Cato Journal, Cato Journal, Cato Institute, vol. 23(2), pages 175-188, Fall.
    13. Marshall, Adam P. & O'Neill, Daniel W., 2018. "The Bristol Pound: A Tool for Localisation?," Ecological Economics, Elsevier, vol. 146(C), pages 273-281.
    14. John C. Boik, 2014. "First Microsimulation Model of a LEDDA Community Currency-Dollar Economy," Working Paper 0001, Principled Societies Project, revised Oct 2014.
    15. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    Full references (including those not matched with items on IDEAS)

    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. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    2. Albonico, Alice & Tirelli, Patrizio, 2020. "Financial crises and sudden stops: Was the European monetary union crisis different?," Economic Modelling, Elsevier, vol. 93(C), pages 13-26.
    3. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.
    5. Oscar Jorda & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Working Papers 148, University of California, Davis, Department of Economics.
    6. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2004. "Estimating nonlinear dynamic equilibrium economies: a likelihood approach," FRB Atlanta Working Paper 2004-1, Federal Reserve Bank of Atlanta.
    7. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    8. Nurdaulet Abilov, 2020. "An Estimated Bayesian DSGE Model for Kazakhstan," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 8(1), pages 30-54, March.
    9. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    10. William Gatt & Noel Rapa & Luca Brugnolini, 2020. "MEDSEA-FIN A DSGE model of the Maltese economy with housing and financial frictions," CBM Working Papers WP/04/2020, Central Bank of Malta.
    11. Baldoni, Edoardo & Coderoni, Silvia & D'Orazio, Marco & Di Giuseppe, Elisa & Esposti, Roberto, 2019. "The role of economic and policy variables in energy-efficient retrofitting assessment. A stochastic Life Cycle Costing methodology," Energy Policy, Elsevier, vol. 129(C), pages 1207-1219.
    12. Philipp Kirchner, 2020. "On shadow banking and fiÂ…nancial frictions in DSGE modeling," MAGKS Papers on Economics 202019, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    13. Paccagnini, Alessia, 2010. "DSGE Model Validation in a Bayesian Framework: an Assessment," MPRA Paper 24509, University Library of Munich, Germany.
    14. Norman Swanson & Oleg Korenok, 2006. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models. Extended Working Paper Version," Departmental Working Papers 200612, Rutgers University, Department of Economics.
    15. Òscar Jordà & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Staff Working Papers 07-56, Bank of Canada.
    16. Jaromir Benes & Tibor Hledik & Michael Kumhof & David Vavra, 2005. "An Economy in Transition and DSGE: What the Czech National Bank’s New Projection Model Needs," Working Papers 2005/12, Czech National Bank.
    17. Luca Sala, 2015. "Dsge Models in the Frequency Domains," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 219-240, March.
    18. Francesco Sergi, 2020. "The Standard Narrative about DSGE Models in Central Banks’ Technical Reports," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(2), pages 163-193, March.
    19. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1059-1087.
    20. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.

    More about this item

    Keywords

    Community Inclusion Currencies; Blockchain Technologies; Poverty Alleviation; Eliciting Utility Types; Complex Dynamic Systems; Subpopulation Simulation;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F45 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Macroeconomic Issues of Monetary Unions
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wus051:8664. 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: WU Library (email available below). General contact details of provider: https://research.wu.ac.at/ .

    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.