Department of Economics
213 Social Sciences
Durham, NC 27708
Institutional Affiliation: University of Rochester
NBER Working Papers and Publications
|October 2008||The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach|
with Shanti Gamper-Rabindran, Christopher Timmins: w14365
We examine the impact of piped water on the under-1 infant mortality rate (IMR) in Brazil using a novel econometric procedure for the estimation of quantile treatment effects with panel data. The provision of piped water in Brazil is highly correlated with other observable and unobservable determinants of IMR -- the latter leading to an important source of bias. Instruments for piped water provision are not readily available, and fixed effects to control for time invariant correlated unobservables are invalid in the simple quantile regression framework. Using the quantile panel data procedure in Chen and Khan (2007), our estimates indicate that the provision of piped water reduces infant mortality by significantly more at the higher conditional quantiles of the IMR distribution than at ...
Published: Journal of Development Economics Volume 92, Issue 2, July 2010, Pages 188–200 Cover image The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach Shanti Gamper-Rabindrana, Corresponding author contact information, E-mail the corresponding author, Shakeeb Khanb, Christopher Timminsb citation courtesy of
|April 2008||Nonparametric Identification and Estimation in a Generalized Roy Model|
with Patrick Bayer, Christopher Timmins: w13949
This paper considers nonparametric identification and estimation of a generalized Roy model that includes a non-pecuniary component of utility associated with each choice alternative. Previous work has found that, without parametric restrictions or the availability of covariates, all of the useful content of a cross-sectional dataset is absorbed in a restrictive specification of Roy sorting behavior that imposes independence on wage draws. While this is true, we demonstrate that it is also possible to identify (under relatively innocuous assumptions and without the use of covariates) a common non-pecuniary component of utility associated with each choice alternative. We develop nonparametric estimators corresponding to two alternative assumptions under which we prove identification, deri...