A nonparametric maximum likelihood estimation for biased-sampling data with zero-inflated truncation

Feipeng Zhang, Jiejing Yang and Min Ye

Economics Letters, 2020, vol. 194, issue C

Abstract: This paper considers biased-sampling data with zero-inflated truncation, where the survival times are left truncated by zero-inflated distributed truncation times. We develop a nonparametric estimator of survival function for biased-sampling data with zero-inflated truncation via a new expectation–maximization algorithm. We demonstrate the good performance of the proposed estimator through numerical simulation studies. An empirical application of employment data is conducted to illustrate the method.

Keywords: Biased-sampling data; Zero-inflated truncation; EM algorithm (search for similar items in EconPapers)
JEL-codes: C1 C14 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:194:y:2020:i:c:s0165176520302494

DOI: 10.1016/j.econlet.2020.109399

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