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Modelling Heaped Duration Data: An Application to Neonatal Mortality

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  • Arulampalam, Wiji

    (Warwick University)

  • Corradi, Valentina

    (Surrey University)

  • Gutknecht, Daniel

    (Oxford University)

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 identi cation and consistent estimation of the baseline hazard accounting for heaping and unobserved heterogeneity. Our identi cation strategy requires neither administrative data nor multiple 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.

Suggested Citation

  • Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2014. "Modelling Heaped Duration Data: An Application to Neonatal Mortality," CAGE Online Working Paper Series 207, Competitive Advantage in the Global Economy (CAGE).
  • Handle: RePEc:cge:wacage:207
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    Cited by:

    1. Christine Valente & Hans H. Sievertsen & Mahesh C. Puri, 2020. "Saving Neonatal Lives for a Quarter," Bristol Economics Discussion Papers 20/728, School of Economics, University of Bristol, UK.
    2. Byung-hill Jun & Hosin Song, 2019. "Tests for Detecting Probability Mass Points," Korean Economic Review, Korean Economic Association, vol. 35, pages 205-248.

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    More about this item

    Keywords

    Discrete Time Duration Model; Heaping; Measurement Error; Parameters on the Boundary; Neonatal Mortality.;
    All these keywords.

    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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