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#causality #statistics

Question

We get the average treatment effect (ATE) 4 by taking an average over the [...]s: 𝜏 , 𝔼[𝑌 𝑖 (1) − 𝑌 𝑖 (0)] = 𝔼[𝑌(1) − 𝑌(0)] , (2.2) where the average is over the individuals 𝑖 if 𝑌 𝑖 (𝑡) is deterministic. If 𝑌 𝑖 (𝑡) is random, the average is also over any other randomness

Answer

ITE

Tags

#causality #statistics

Question

We get the average treatment effect (ATE) 4 by taking an average over the [...]s: 𝜏 , 𝔼[𝑌 𝑖 (1) − 𝑌 𝑖 (0)] = 𝔼[𝑌(1) − 𝑌(0)] , (2.2) where the average is over the individuals 𝑖 if 𝑌 𝑖 (𝑡) is deterministic. If 𝑌 𝑖 (𝑡) is random, the average is also over any other randomness

Answer

?

Tags

#causality #statistics

Question

We get the average treatment effect (ATE) 4 by taking an average over the [...]s: 𝜏 , 𝔼[𝑌 𝑖 (1) − 𝑌 𝑖 (0)] = 𝔼[𝑌(1) − 𝑌(0)] , (2.2) where the average is over the individuals 𝑖 if 𝑌 𝑖 (𝑡) is deterministic. If 𝑌 𝑖 (𝑡) is random, the average is also over any other randomness

Answer

ITE

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#### Parent (intermediate) annotation

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We get the average treatment effect (ATE) 4 by taking an average over the ITEs: 𝜏 , 𝔼[𝑌 𝑖 (1) − 𝑌 𝑖 (0)] = 𝔼[𝑌(1) − 𝑌(0)] , (2.2) where the average is over the individuals 𝑖 if 𝑌 𝑖 (𝑡) is deterministic. If 𝑌 𝑖 (𝑡) is random, the average is also over any other ran

#### Original toplevel document (pdf)

owner: crocodile - (no access) - Introduction_to_Causal_Inference-Nov19_2020-Neal.pdf, p16

We get the average treatment effect (ATE) 4 by taking an average over the ITEs: 𝜏 , 𝔼[𝑌 𝑖 (1) − 𝑌 𝑖 (0)] = 𝔼[𝑌(1) − 𝑌(0)] , (2.2) where the average is over the individuals 𝑖 if 𝑌 𝑖 (𝑡) is deterministic. If 𝑌 𝑖 (𝑡) is random, the average is also over any other ran

status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
---|---|---|---|---|---|---|---|

repetition number in this series | 0 | memorised on | scheduled repetition | ||||

scheduled repetition interval | last repetition or drill |

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