Lecture 5.3: Empirical policy evaluation Flashcards
Problems with randomized trials
- external validity
- attrition
- other implementation issues
Identification problem
which series is causing another?
A <—> B (or maybe even C affecting both)
Observational data
data generated by individual behaviour observed in the real world, not of deliberately designed experience
Bias
Any source of difference between treatment and control group that is correlated but not due to the treatment
Empirical public economics
Use of data and statistical methods to measure the impact of government policy on individuals, firms and markets
Causality
Two economic variables where one moves because of the movement of the other
Correlation
Two economic variables move together
Quasi/natural experiments
Changes in economic environment that create similar treatment and testgroup for studying the effect of that climate change
Randomized trial
The ideal type of research design to test causality: group of individuals to be studied is randomly divided into a treatment group and a control group
Cross-sectional (regression) analysis
Statistical analysis of the relationship between two or more variables exhibited by many individuals at one point in time
Time series analysis
Analysis of the co-movement of two variables over time