Table 1 Average square of differences in slope parameter in original dataset and in dataset with noise addition using ordinary least squares (OLS) and difference-in-difference (DiD)
From: Have the cake and eat it too: Differential Privacy enables privacy and precise analytics
\(\epsilon\) | OLS | DiD | ε | OLS | DiD |
|---|---|---|---|---|---|
0.25 | 3.3 | 79.9 | 4 | 2.0 | 4.7 |
0.5 | 3.2 | 66.9 | 5 | 1.5 | 2.2 |
1 | 3.1 | 49.3 | 6 | 0.9 | 0.9 |
2 | 2.8 | 24.3 | 7 | 0.6 | 0.4 |
3 | 2.5 | 11.6 | Â | Â | Â |