Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

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.

[img]
Preview
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

Request Changes to record.

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:
DateEvent
October 2017Published
5 July 2017Available
30 June 2016Accepted
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:
  • Other
  • Other Repository
Open Access Version:
  • SSRN

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us