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In our benchmark estimations, one additional year of schooling resulted in an eight percentage point increase in the probability of having ever used a computer and in a 12 percentage point increase in the probability of reporting to have at least good computer skills.
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The benchmark estimation results are presented in Table 1.
In column (1) we report the benchmark estimation with the dummy "Retired" as the dependent variable.
This work is concerned with the minimum variance (MV) benchmark estimation without a prior knowledge of time-delay.
In order to capture part of these unobserved individual characteristics, we control for a wide range of observed time-varying and time-invariant individual characteristics in the benchmark estimation.
In this simulation the Cox model with the correct specification of the time dependent effect of Z, that is log(t), is used as benchmark estimation.
R D t) estimated through the CGPM using the Cox proportional hazard regression model (the model used to generate the simulation data) is used as the benchmark estimation method.
Hence, the outcome of this study may be useful for benchmarking estimation uncertainty for future events empirically.
The CRB is a lower bound (LB) on the mean square estimation error (MSEE) of an unbiased estimate and can thus be used to benchmark practical estimation algorithms.
In the 2011 Benchmark Workshop, estimation of the probability of failure of a gravity dam for the sliding failure mode was discussed.
However, because the MCRB is not a tight bound at low SNR values, obtaining the value of the CRB is important in order to be able to benchmark the estimation performance over the complete SNR range.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com