The Library
Modeling heaped duration data : an application to neonatal mortality
Tools
Tools
Tools
Arulampalam, Wiji, Corradi, Valentina and Gutknecht, Daniel (2017) Modeling heaped duration data : an application to neonatal mortality. Journal of Econometrics, 200 (2). pp. 363-377. doi:10.1016/j.jeconom.2017.06.016 ISSN 0304-4076.
|
PDF
WRAP-modelling-heaped-durations-neonatal-mortality-Arulampalam-2017.pdf - Accepted Version - Requires a PDF viewer. Download (858Kb) | Preview |
Official URL: https://doi.org/10.1016/j.jeconom.2017.06.016
Abstract
In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention to substantial heaping, a form of measurement error, present in the data. The main objective of this paper is to provide a set of sufficient conditions for identification and consistent estimation of the (discretized) baseline hazard accounting for heaping and unobserved heterogeneity. Our identification strategy requires neither administrative data nor multiple measurements, but a correctly reported duration point and the presence of some flat segment(s) in the baseline hazard. We establish the asymptotic properties of the maximum likelihood estimator and derive a set of specification tests that allow, among other things, to test for the presence of heaping and to compare different heaping mechanisms. Our empirical findings do not suggest a significant reduction of mortality in treated districts. However, they do indicate that accounting for heaping matters for the estimation of the hazard parameters.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services |
||||||||
| Divisions: | Faculty of Social Sciences > Economics | ||||||||
| Library of Congress Subject Headings (LCSH): | Newborn infants -- Mortality -- Mathematical models -- India, Public health -- India | ||||||||
| Journal or Publication Title: | Journal of Econometrics | ||||||||
| Publisher: | Elsevier BV * North-Holland | ||||||||
| ISSN: | 0304-4076 | ||||||||
| Official Date: | October 2017 | ||||||||
| Dates: |
|
||||||||
| Volume: | 200 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | pp. 363-377 | ||||||||
| DOI: | 10.1016/j.jeconom.2017.06.016 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 19 July 2018 | ||||||||
| Date of first compliant Open Access: | 5 July 2019 | ||||||||
| Related URLs: | |||||||||
| Open Access Version: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
