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Wealth Inequality and Endogenous Growth

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  • Lee, Byoungchan

Abstract

Advanced economies have been experiencing productivity slowdowns, rising inequality, and low consumption-to-wealth ratios in recent decades. Using an analytically tractable endogenous growth model with heterogeneous households, I emphasize a channel that connects inequality with productivity growth through aggregate consumption demand and the returns to R&D. Given realistic increases in wealth (inclusive of income) inequality, the calibrated model generates transition dynamics featuring productivity slowdowns, low aggregate demand, and low real interest rates, consistent with the empirical trends. The welfare cost of rising inequality is substantial and is nearly equally split between changes in the consumption distribution and slow growth.

Suggested Citation

  • Lee, Byoungchan, 2023. "Wealth Inequality and Endogenous Growth," Journal of Monetary Economics, Elsevier, vol. 133(C), pages 132-148.
  • Handle: RePEc:eee:moneco:v:133:y:2023:i:c:p:132-148
    DOI: 10.1016/j.jmoneco.2022.11.004
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    2. Chroufa, Mohamed Ali & Chtourou, Nouri, 2023. "Financial development threshold effect on wealth inequality-economic growth nexus: Evidence from MENA economies," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).

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    More about this item

    Keywords

    Wealth inequality; Productivity slowdowns; Aggregate demand; Real interest rates; Transition dynamics;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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