entity · derived
Robustness
Derived node: assembled mechanically from the claims carrying robustness. A roster, not an adjudicated definition.
Every claim under this term
- 2389416-024 : Because the compliance probability denominator is very close to one, fuzzy regression discontinuity estimates differ only trivially from the sharp design estimates on the entire sample.
- 2389416-025 : A McCrary density test of the assignment variable independently supports the presence of a discontinuity at the $150 million threshold in March 2012.
- 2389416-026 : The March 2012 discontinuity estimates remain statistically significant and stable at larger bandwidths, while very small bandwidths yield confidence intervals containing zero and would not detect any
- 2389416-027 : Conventional, bias-corrected, and robust regression discontinuity estimators all produce coefficients of similar magnitude, between 1.13 and 1.33, each with a p-value below 5 percent, affirming the Ma
- 2389416-033 : Difference-in-differences analysis confirms the regression discontinuity results, showing a positive and highly significant treatment coefficient for funds above the $150 million AUM threshold.
- 2389416-037 : Despite the great volatility of hedge fund adviser returns over the observation period, the empirical evidence for a discontinuity at the $150 million AUM threshold is robust, but the discontinuity do
- 2389423-019 : Least squares linear regression is non-robust to outliers: in the presence of outliers its predictions can be dragged toward the outliers and the variance of the estimates can be artificially inflated
- 2389423-034 : The results suggest that the private fund industry may be more robust and less affected by financial regulation than other financial services providers.
- 2816408-017 : A fuzzy regression discontinuity design was run to test whether the discontinuity occurred at a date other than March 30, 2012, on the theory that advisers may have anticipated compliance costs in the
- 2816408-018 : The sharp and fuzzy regression discontinuity approaches yield results of only minor difference in this setting because the denominator of the fuzzy estimator is very close to one, meaning treatment ta
- 2816408-019 : Across an array of robustness tests, the requirements introduced by the Dodd-Frank Act create no significant effect on private fund performance, with all reported RD p-values above the 5% level.
- 2816408-029 : Tighter RD designs using varying window lengths and hand selected control groups confirm the finding of no effect obtained in the broader design.
- 2816408-030 : The discontinuity in the data is evident regardless of the number of bins chosen, even though increasing the number of bins smooths the estimated regression function.
- 3782191-032 : Concentration produces instability and dispersion produces stability: the more concentrated a structure is, the more unstable it is, because little changes can cause major structural change, while a s
- 4796714-010 : Federated learning lacks theoretical guarantees of reliability and robustness, which makes its behavior unpredictable in practical applications.
- 4855607-004 : Deep learning models adapt to changes in data distribution far less readily than human learning does, which limits their reliability once the operating environment diverges from the training data.
- 4855607-011 : GNNs are vulnerable to adversarial attacks that target both node features and graph structure, and their lack of interpretability remains a major obstacle to applying them to real world problems.
- 6244278-024 : Institutional alignment through engineered consequence is architecturally superior to exogenous constraint, and the superiority derives from three structural features: scalability, robustness to gamin
- 6244278-025 : Institutional alignment resists gaming because the mechanisms that produce alignment are identical to the mechanisms that produce economic success: an agent cannot game its way to high reputation with
- 6269518-010 : Citation weights should be treated as approximate signals of attribution rather than precise measurements, and the governance system must be designed to function robustly under that inherent imprecisi
- 6269518-034 : The citation honesty equilibrium is robust because it does not require agents to quantify precise citation weights; it requires only that citation patterns be directionally honest, which is what the v
- 6607458-013 : Possibility-space quality is captured by four functionals, coverage, precision, robustness, and calibration, and value in Computative Economics derives from their composite rather than from any single