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Program Evaluation
is to use analysis and quantitative tools to determine the impact of a program, policy, or other intervention
Fundamental challenge of program evaluation
is determining what outcomes have been caused by a particular program or intervention
Treatment Effect
the causal impact of a policy, program, or intervention
The counterfactual
is what would have happened to the same set of actors under an alternate set of circumstances
What is the goal of program evaluation?
is to isolate the treatment effect in order to determine what happened as a result of some policy intervention relative to what would have happened to the same actors in the absence of the intervention
Selection Bias
occurs the participants in some treatment are significantly different in some important respect from the non-participants to whom they are being compared
Causal Relationship
if a change in one, brings a change in the other
Causality
A is responsible for changes in B
Correlation
if a movement in one is associated with a movement in the other
ex: A and B are associated with one another, but A does not necessarily solve B. For example, the economy recovers after a tax cut is implemented; the tax cut may or may not have contributed to the recovery
Reverse Causality
B causes A, rather than the other way around
Omitted Variable
C is responsible for both A and B
Coincidence
A and B have moved together over some period simply by chance and are not likely to be correlated in the future
Dropout or survivor effect
when a random group of participants quit or are removed from a program during the period of analysis
Participant Bias
when the person or persons doing the evaluation of a program may improperly affect the evaluation
Double Blind