This approach utilizes interpolation to define the conditional mid-quantile function, allowing for a more accurate estimation of regression coefficients without relying on jittering or latent ...
https://doi.org/10.15609/annaeconstat2009.134.0109 • https://www.jstor.org/stable/10.15609/annaeconstat2009.134.0109 This paper develops a random effects model for ...
particularly focussing on the conditions for a causal interpretation of the coefficients, the course will cover matching estimators, instrumental variables, panel data, differences-in-differences, ...
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