Angwandte Ökonomie 2024

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Across
  1. 1. The effect that with increasing sample size the statistical difference between treatment and control group decrease on average
  2. 5. If only I knew what would happened if that thing wouldn’t have happened
  3. 8. It influences Y, but only through an independent variable, and only that one. And it doesn’t influence anything else. It’s kind of magic
  4. 9. Have you tried excluding observations to check for robustness?
  5. 10. At least one of our variables is correlated with the error term
  6. 11. And RCT in which the unit of assignment contains various treatment units
  7. 12. To compare treated and control groups you go above and beyond, and this divides it all
  8. 13. You have not thought of them, but they exist. And they mess with your Y
Down
  1. 2. There should be a jump in the regression line. Ideally only one. One between treated and control group
  2. 3. it is very nice that your cat likes beer, and even knows when you try to give her water instead. But are you sure all cats do?
  3. 4. Not sure, if the treatment and control group are similar before treatment? Look at the
  4. 6. It is randomized, and it is a trial. And it also controls for interventions
  5. 7. It helps you to assess whether subject are aware of interventions and manipulate their positions just below or above the cutoff in an RDD