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Long-run consequences of debt in a stock-flow consistent network economy

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  • Desiderio, Saul
  • Chen, Siyan

Abstract

In this paper we develop a theoretical framework to analyze the long-run behavior of an economy characterized by a regime of persistent debt. We introduce a stock-flow consistent dynamic model where the economic system is represented by a network of trading relationships among agents. Debt contracts are one of such relationships. The model is characterized by a unique and stable steady-state, which predicts that (i) aggregate income is always limited from the above by the money supply and that (ii) debts cause a redistribution of borrowers' wealth and income in favor of lenders. In the aggregate this may also lower nominal income, as empirical evidence suggests.

Suggested Citation

  • Desiderio, Saul & Chen, Siyan, 2012. "Long-run consequences of debt in a stock-flow consistent network economy," MPRA Paper 43011, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:43011
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    References listed on IDEAS

    as
    1. Checherita-Westphal, Cristina & Rother, Philipp, 2010. "The impact of high and growing government debt on economic growth: an empirical investigation for the euro area," Working Paper Series 1237, European Central Bank.
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    6. Patterson, K D & Stephenson, M J, 1988. "Stock-Flow Consistent Accounting: A Macroeconomic Perspective," Economic Journal, Royal Economic Society, vol. 98(392), pages 787-800, September.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Debt; stock-flow consistency; dynamic systems;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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