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Panel Data Methods and Applications to Health Economics
[chapter]
2009
Palgrave Handbook of Econometrics
Much of the empirical analysis done by health economists seeks to estimate the impact of specific health policies and the greatest challenge for successful applied work is to find appropriate sources of variation to identify the treatment effects of interest. Estimation can be prone to selection bias, when the assignment to treatments is associated with the potential outcomes of the treatment. Overcoming this bias requires variation in the assignment of treatments that is independent of the
doi:10.1057/9780230244405_12
fatcat:4k3cr7zqwnegrdxaqm226mwj54