Journal of Statistics Applications & Probability

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Abstract: The present paper demonstrates piecewise constant baseline hazard model with shared frailty for analysing the timing of entry into workforce after schooling that are clustered into geographical domain. Observations from the same cluster are usually correlated because, unknowingly, they share certain unobserved characteristics. Including these within cluster correlations in the model allows correctly measuring the covariate effects and avoiding underestimation or overestimation of the parameters of interest. Besides analysing the effect of substantial demographic and socio-economic circumstances on the time to entry into the workforce for geographically clustered event history data, comparison of estimates obtained from the Cox regression model, the Cox regression model with shared frailty, and the piecewise constant baseline hazard with shared frailty are also outlined here.

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