Showing 1 - 10 of 19,016
Persistent link: https://www.econbiz.de/10011299867
This paper estimates the impact of elite school attendance on long- run outcomes including completed education, income and fertility. Our data consists of individuals born in the 1950s and educated in a UK dis- trict that assigned students to either elite or non-elite secondary schools. Using...
Persistent link: https://www.econbiz.de/10010241305
This paper estimates the impact of elite school attendance on long-run outcomes including completed education, income and fertility. Our data consists of individuals born in the 1950s and educated in a UK district that assigned students to either elite or non-elite secondary schools. Using...
Persistent link: https://www.econbiz.de/10010434599
"Statistical adequacy" is an important prerequisite for securing reliable inference in empirical modelling. This paper argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are based on statistically adequate models, i.e., models...
Persistent link: https://www.econbiz.de/10011917266
estimate causality. Further, one potentially can use both the conventional instrumental variable approach in tandem with our …
Persistent link: https://www.econbiz.de/10012179959
Some interventions or population attributes negate the effects of a treatment. This paper shows that incorporating these, what we call antidotal variables (AV), into a causal treatment effects analysis can with one cross-sectional regression identify the true causal effect, in addition to...
Persistent link: https://www.econbiz.de/10013426407
estimate causality. Further, one potentially can use both the conventional instrumental variable approach in tandem with our …
Persistent link: https://www.econbiz.de/10012137001
Some interventions or population attributes negate the effects of a treatment. This paper shows that incorporating these, what we call antidotal variables (AV), into a causal treatment effects analysis can with one cross-sectional regression identify the true causal effect, in addition to...
Persistent link: https://www.econbiz.de/10013373154
The instrumental variable model is one of the central tools for the analysis of causal relationships in observational data. The Anderson and Rubin (1949) test is an important method that allows for reliable inference in the instrumental variable model when the instruments are weak. Yet, the...
Persistent link: https://www.econbiz.de/10013210938
This paper studies measuring various average effects of X on Y in general structural systems with unobserved confounders U, a potential instrument Z, and a proxy W for U. We do not require X or Z to be exogenous given the covariates or W to be a perfect one-to-one mapping of U. We study the...
Persistent link: https://www.econbiz.de/10012215406