Curruption, Endogenous Fertiltity and Growth
Matthias Cinyabuguma ()
Additional contact information
Matthias Cinyabuguma: University of Maryland, Baltimore County.
Lahore Journal of Economics, 2011, vol. 16, issue 2, 1-29
Abstract:
While much research in economic development has pointed out the negative impact of corruption on growth, less research has been devoted to studying the relationship between corruption and demographic transition. This theme is developed into an overlapping generation model in which corruption affects fertility decisions through its negative impact on physical capital formation and its productivity. The analysis indicates that, when the level of corruption is high, the productivity of capital is low and fertility is excessively high because of the relatively low cost of raising children. Theoretical and empirical results show that, in both developed and developing countries, corruption creates distortions and leads to low-equilibrium traps. Introducing child quality into the model accelerates the pace of demographic transition and produces effects similar to reducing the level of corruption. Empirical estimates confirm the predictions of the model and support the proposition that fertility declines in less corrupt countries.
Keywords: Endogenous fertility; corruption; productivity of physical capital; economic growth. (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://121.52.153.179/JOURNAL/LJE%20Vol%2016-2%20% ... ED%20TTC%2012-22.pdf (application/pdf)
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:lje:journl:v:16:y:2011:i:2:p:1-29
Access Statistics for this article
More articles in Lahore Journal of Economics from Department of Economics, The Lahore School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Shahid Salahuddin ().