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Identification and Estimation of Causal Treatment Effects: Instrumental Variable Approaches

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posted on 20.02.2021, 22:58 by LINA ZHANG
This thesis studies some methodological issues relating to the assessment of the causal impact of some economic variables on a qualitative feature of the economy. It also sheds new light on policy evaluation studies in the presence of network interference. It identifies the mechanism through which the effects of a policy could propagate and affect many others’ socioeconomic behaviour, which is important to provide meaningful policy advice for effective policy targeting.


Campus location


Principal supervisor

Donald Stephen Poskitt

Additional supervisor 1

Xueyan Zhao

Additional supervisor 2

David Frazier

Year of Award


Department, School or Centre

Econometrics and Business Statistics


Doctor of Philosophy

Degree Type