Abstract
In this chapter, we investigate three methods for estimating quasi-experimental models: (1) Interrupted Time Series; (2) Regression Discontinuity Approach; (3) Difference in Difference. We provide examples and a step-by-step guide to show how to estimate these different types of model specifications. We outline how to interpret the results from these different models in light of the underlying assumptions, and what this means for drawing conclusions on causality.
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Interrupted Time Series
Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: A tutorial. International Journal of Epidemiology, 46(1), 348–355.
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Regression Discontinuity
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Difference in Difference
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Brown, H. (2018). Before and After Study Designs. In: The Economics of Public Health. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-319-74826-9_5
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DOI: https://doi.org/10.1007/978-3-319-74826-9_5
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Online ISBN: 978-3-319-74826-9
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