Papadopoulos, Georgios (2018): Income inequality, consumption, credit and credit risk in a data-driven agent-based model.
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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.
Item Type: | MPRA Paper |
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Original Title: | Income inequality, consumption, credit and credit risk in a data-driven agent-based model |
Language: | English |
Keywords: | Income inequality; Consumption; Consumer credit; Non-performing loans; Agent-based model |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E21 - Consumption ; Saving ; Wealth E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E27 - Forecasting and Simulation: Models and Applications |
Item ID: | 89764 |
Depositing User: | Georgios Papadopoulos |
Date Deposited: | 06 Nov 2018 14:59 |
Last Modified: | 27 Sep 2019 02:32 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/89764 |