Growing with inequality: a DSGE model with heterogeneous human capital and endogenous economic growth
Junlin Mu,
Lipeng Yan and
Shanshan Wu
Applied Economics, 2023, vol. 55, issue 32, 3689-3715
Abstract:
We try to explain the simultaneous increases in economic growth and income inequality in China with a heterogeneous endogenous growth-based DSGE model. It is found that: First, our model can simulate the positive correlation between economic growth and income inequality in China. China’s economic development has created better conditions and incentives for the accumulation of human capital of workers with high initial human capital, thus stimulating them to contribute more to economic growth, but this widens the income inequality simultaneously. Second, the change in economic growth and the change in income inequality also exhibit a positive correlation under the influence of various policy shock. Any shock that raises economic growth, such as different types of technology shock and investment shock (after 8 quarters), will correspondingly widen income inequality. Conversely, any shock that reduces economic growth, such as fiscal spending shock, interest rate shock and investment shock (before 8 quarters) will correspondingly reduce income inequality. Third, the government’s preference for workers with high initial human capital in the implementation of macroeconomic policies determines the positive correlation between the change in economic growth and in income inequality. Workers with high initial human capital are central to the effectiveness of macroeconomic policies.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2022.2117778 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:55:y:2023:i:32:p:3689-3715
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2022.2117778
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().