Showing 1 - 10 of 403
Persistent link: https://www.econbiz.de/10010482962
We exploit rules of class formation to identify the causal effect of increasing the number of immigrants in a classroom on natives test scores, keeping class size constant (Pure Composition Effect). We explain why this is a relevant policy parameter although it has been neglected so far. We show...
Persistent link: https://www.econbiz.de/10010461773
Persistent link: https://www.econbiz.de/10011928151
In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest...
Persistent link: https://www.econbiz.de/10012882627
Exploiting admission thresholds in a Regression Discontinuity Design, we study the causal effects of daycare at age 0–2 on cognitive and non-cognitive outcomes at age 8–14. One additional month in daycare reduces IQ by 0.5% (4.5% of a standard deviation). Effects for conscientiousness are...
Persistent link: https://www.econbiz.de/10011479274
Exploiting admission thresholds in a Regression Discontinuity Design, we study the causal effects of daycare at age 0–2 on cognitive and non-cognitive outcomes at age 8–14. One additional month in daycare reduces IQ by 0.5% (4.5% of a standard deviation). Effects for conscientiousness are...
Persistent link: https://www.econbiz.de/10011651947
In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest...
Persistent link: https://www.econbiz.de/10014083885
We exploit rules of class formation to identify the causal effect of increasing the number of immigrants in a classroom on natives test scores, keeping class size constant (Pure Composition Effect). We explain why this is a relevant policy parameter although it has been neglected so far. We show...
Persistent link: https://www.econbiz.de/10013039573
In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest...
Persistent link: https://www.econbiz.de/10012820878
Persistent link: https://www.econbiz.de/10011447817