Why Propensity Scores Should Not Be Used for Matching
We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal - thus increasing imbalance, inefficiency, model dependence, and bias. The weakness of PSM comes from its attempts to approximat...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press (CUP)
2020
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| Online Access: | https://hdl.handle.net/1721.1/128459 |