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Modelling Heaped Duration Data: An Application to Neonatal Mortality

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  • Arulampalam, Wiji

    () (University of Warwick)

  • Corradi, Valentina

    () (University of Surrey)

  • Gutknecht, Daniel

    () (University of Oxford)

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 the substantial heaping 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 baseline hazard accounting for heaping and unobserved heterogeneity. Our identification strategy requires neither administrative data nor multiple measurements, but a correctly reported duration and the presence of some flat segments in the baseline hazard which includes this correctly reported duration point. We establish the asymptotic properties of the maximum likelihood estimator and provide a simple procedure to test whether the policy had (uniformly) reduced mortality. While our empirical findings do not confirm the latter, they do indicate that accounting for heaping matters for the estimation of the baseline hazard.

Suggested Citation

  • Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2014. "Modelling Heaped Duration Data: An Application to Neonatal Mortality," IZA Discussion Papers 8493, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp8493
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    Keywords

    discrete time duration model; heaping; measurement error; neonatal mortality; parameters on the boundary;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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