Fisher Inference and Local Average Treatment Effect: A Simulation study
This thesis studies inference to the complier treatment effect denoted LATE. The standard approach is to base the inference on the two-stage least squares (2SLS) estimator and asymptotic Neyman inference, i.e., the t-test. The paper suggests a Fisher Randomization Test based on the t-test statistic...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Statistiska institutionen
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412989 |