EconPapers    
Economics at your fingertips  
 

Optimal population and policy implications

Xiying Liu

ISU General Staff Papers from Iowa State University, Department of Economics

Abstract: This dissertation explores issues of efficient and inefficient population in complete and incomplete market economies with altruistic parents who cares about the welfare of their children. Altruistic models with idiosyncratic risks are central to modern macroeconomics, particularly when studying issues of inequality and redistribution. But this framework seems to fall apart when serious consideration is given to fertility decisions as Barro and Becker (1989) because some of the most appealing conclusions obtained under the exogenous fertility assumption are seriously altered. For example, optimal fertility choice tends to eliminate intergenerational persistence of inequality. A main goal of this dissertation is to recover key features of demographic facts using micro-founded macroeconomic theory and quantitative approaches, and to derive normative analysis regarding efficiency of population, long run inequality, education, and demographic policies. The consensus of my research is that family decisions made by altruistic parents have substantial aggregate socioeconomic consequences in dynamic environments.

Date: 2015-01-01
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://dr.lib.iastate.edu/server/api/core/bitstre ... 0bf38c677b28/content
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

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:isu:genstf:201501010800005546

Access Statistics for this paper

More papers in ISU General Staff Papers from Iowa State University, Department of Economics Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070. Contact information at EDIRC.
Bibliographic data for series maintained by Curtis Balmer ().

 
Page updated 2025-04-18
Handle: RePEc:isu:genstf:201501010800005546