Wealth and Income Distribution among Heterogeneous Households in a Neoclassical Growth Model with One Capital and Multiple Consumer Goods

Wei-Bin Zhang

Economic Studies journal, 2014, issue 1, 48-61

Abstract: This paper brings heterogeneous households and heterogeneous sectors in the traditional Solow-Uzawa neoclassical growth model. It is influenced by the neoclassical growth theory and the post-Keynesian theory of growth and distribution. The model deals with not only the economic structure, but also income and wealth distributions between heterogeneous households. We show the transitional paths of the variables and determine the economic equilibrium for a two-group and two-sector economy. We also conduct out comparative dynamic analysis with regard to human capital, propensity to save, and population size. We demonstrate, for instance, that rises in the skilled and unskilled groups’ the propensities to save have the same impacts on the national and sectoral production levels, input factor distributions, rate of interest, wage rate, and national wealth; but the skilled (unskilled) group’s wealth and consumption level are reduced (increased) and the wealth and consumption gaps between the two groups are diminished (enlarged) as a long-term consequence of a rise in the unskilled (skilled) group’s propensity to save.

JEL-codes: E25 O41 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ceeol.com/aspx/issuedetails.aspx?issuei ... de-905b-b7d40a6bbae8

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:bas:econst:y:2014:i:1:p:48-61

Access Statistics for this article

More articles in Economic Studies journal from Bulgarian Academy of Sciences - Economic Research Institute Contact information at EDIRC.
Bibliographic data for series maintained by Diana Dimitrova ().