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optimal sampling frequency at which to estimate the parameters of a discretely sampled continuous-time model can be finite … that sampling as often as possible is optimal. But, more surprisingly, we also demonstrate that this is true even if one …
Persistent link: https://www.econbiz.de/10012785227
In defining selection bias, we have considered only the parallel universe of the treated group or the untreated group rather than including the parallel universe of the untreated group or the treated group. This makes causal inference theories unbalanced because they were developed on one side...
Persistent link: https://www.econbiz.de/10012890976
Cut-off sampling is applied when there is a subset of units from the population from which getting the required … the cut-off sampling may be severely biased. Calibration estimators have been proposed to reduce the mentioned design …-off sampling. Our results confirm that the model-based estimators reduce the bias due to cut-off sampling and perform significantly …
Persistent link: https://www.econbiz.de/10012894419
We partially identify population treatment effects in observational data under sample selection, without the benefit of random treatment assignment. We provide bounds both for the average and the quantile population treatment effects, combining assumptions for the selected and the non-selected...
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optimal sampling frequency at which to estimate the parameters of a discretely sampled continuous-time model can be finite … that sampling as often as possible is optimal. But, more surprisingly, we also demonstrate that this is true even if one …
Persistent link: https://www.econbiz.de/10012469087