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PP402 Model, How to analize experiments, RTC (Randomize test trial),…

- - - - Yes
        
        Bias?
      - No
        
        OK
      - No, because x% of the variables will have this difference
        
        Look for great unbalance problems
  - - - Yes
        
        OK
      - No
        
        Is posible to create bigger group or consolidate?
- - - - No
        
        OK
      - Yes
        
        Is posible to include?
        
        No
        
        No
        
        Yes
        
        Include and calculate bias
- - - - Failure to randomize
        
        Bias estimators
        
        Can we use instrumental variables to solve this problem?
      - Failure to follow
        the treatment protocol
        
        Can we produce an instrumental
        variables regression
        
        Yes
        
        Include the instrumental variable
        
        No
        
        Bias
      - Attrition.
        
        Is random
        
        Yes
        
        OK
        
        No
        
        Bias
      - Experimental effects.
        
        Bias
      - Small samples
        
        causal effect is estimated imprecisely
        
        assumption of normality is typically as dubious
      - Spillover (No in the books)
        
        Understimation of the causal effect
  - - - Nonrepresentative sample
      - Nonrepresentative program or policy.
      - General equilibrium effects
- - - - Large enough groups are comparable (LLN)
  - - - Is the difference statistically meaningful?
        
        Bi/se(Bi) greater than 2
        
        Yes
        
        Regect that X is uncorrelated with Y
        Posible causal effect
        
        No
        
        No evidence of causal effect
- - - - Y(0,G1) - Y(0,G2)
        
        Selection bias can arise from un-observed variables
  - - - Y(1,i) - Y(0,i)
- - - - Estimator are unbiased, consistent and efficente under assumptions
        
        X is IID Independently and Identically Distributed
        
        Large outliers are unlikely
  - - - Two sides hypotesis
        
        Reject with t greater that 1,96
      - One sides hypotesis
        
        Reject with t greater that 1,64
- - - - Inperfect but useful mimic of a randomized control trial