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Income inequality, consumption, credit and credit risk in a data-driven agent-based model

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  • Papadopoulos, Georgios
Abstract
The issue of income inequality occupies a prominent position in the research agenda of academic and policy circles alike, especially after the crisis of 2008, due to its potential causal link with the development of credit bubbles and therefore the emergence of financial crises. This paper examines the long-run effect of income inequality on consumption, consumer credit and non-performing loans through the means of a data-driven agent-based model. The data-driven nature of the model enhances its ability to match historical series and thus makes it suitable for policy simulations tailored for specific economies. The analysis indicates that higher income inequality has a detrimental impact on consumption and is associated with lower volumes of consumer credit. However, the ratio of non-performing loans as a share of total loans seems to be independent of income inequality.

Suggested Citation

  • Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    • Handle: RePEc:eee:dyncon:v:104:y:2019:i:c:p:39-73
    DOI: 10.1016/j.jedc.2019.05.002
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    More about this item

    Keywords

    Income inequality; Consumption; Consumer credit; Non-performing loans; Agent-based model;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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