Modeling Heaped Duration Data: An Application to Neonatal Mortality

Arulampalam, W, Corradi, V and Gutknecht, D (2016) Modeling Heaped Duration Data: An Application to Neonatal Mortality [Working Paper]

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Abstract

In 2005, the Indian Government launched a conditional cash-incentive program to en- courage institutional delivery. This paper studies the e ects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention to the substantial heaping present in the data. The main objective of this paper is to provide a set of sucient conditions for identi cation and consistent estimation of the baseline hazard accounting for heaping and unobserved heterogeneity. Our identi cation strategy requires neither administrative data nor mul- tiple measurements, but a correctly reported duration and the presence of some at segments in the baseline hazard which includes this correctly reported duration point. We establish the asymptotic properties of the maximum likelihood estimator and pro- vide a simple procedure to test whether the policy had (uniformly) reduced mortality. While our empirical ndings do not con rm the latter, they do indicate that accounting for heaping matters for the estimation of the baseline hazard.

Item Type:	Working Paper
Subjects :	Economics
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Arulampalam, W Corradi, V v.corradi@surrey.ac.uk Gutknecht, D
Date :	12 April 2016
DOI :	10.2139/ssrn.2490933
Uncontrolled Keywords :	Discrete Time Duration Model, Heaping, Measurement Error, Parameters on the Boundary, Neonatal Mortality
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	16 May 2017 15:39
Last Modified :	23 Jan 2020 10:45
URI:	http://epubs.surrey.ac.uk/id/eprint/821081

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