| By: |
Giles, John;
Murtazashvili, Irina |
| Abstract: |
This paper proposes a parametric approach to estimating a dynamic binary
response panel data model that allows for endogenous contemporaneous
regressors. This approach is of particular value for settings in which one
wants to estimate the effects of an endogenous treatment on a binary outcome.
The model is next used to examinethe impact of rural-urban migration on the
likelihood that households in rural China fall below the poverty line. In this
application, it is shown that migration is important for reducing the
likelihood that poor households remain in poverty and that non-poor households
fall into poverty. Furthermore, it is demonstrated that failure to control for
unobserved heterogeneity would lead the researcher to underestimate the impact
of migrant labor markets on reducing the probability of falling into poverty. |
| Keywords: |
Rural Poverty Reduction,Population Policies,Achieving Shared Growth,Debt Markets,Regional Economic Development |
| Date: |
2010–08–01 |
| URL: |
http://d.repec.org/n?u=RePEc:wbk:wbrwps:5400&r=cna |