Analyses using aggregated data may bias inference. In this work we show how to avoid or at least reduce this bias when estimating quantile regressions using aggregated information. This is possible by considering the unconditional quantile regression recently introduced by Firpo et al (2009) and...

Analyses using aggregated data may bias inference. In this work we show how to avoid or at least reduce this bias when estimating quantile regressions using aggregated information.  This is possible by considering the unconditional quantile regression recently introduced by Firpo et al (2009)...

This paper provides a general formulation of the regression discontinuity (RD) design and applies this method to analyse the effects of the 1995 UK pill scare. We show that in the five months following a health warning on the third generation pill, conception rates rose by more than 7%, abortion...

In this note, we consider the problem of classifying the elements of a parameter ensemble from a Bayesian hierarchical model as above or below a given threshold, C. Two threshold classification losses (TCLs)–termed balanced TCL and p-weighted TCL, respectively–are formulated. The p-weighted...

It is well established that there exist substantial area-level socio-demographic variations in population health. However, area-level associations between deprivation and health cannot necessarily be interpreted as place effects on individual health. We demonstrate how recently developed...

This paper provides a general formulation of the regression discontinuity (RD) design and applies this method to analyse the effects of the 1995 UK pill scare. We show that in the five months following a health warning on the "third generation" pill, conception rates rose by more than 7%,...

This paper provides a general formulation of the regression discontinuity (RD) design and applies this method to analyse the effects of the 1995 UK pill scare. We show that in the five months following a health warning on the "third generation" pill, conception rates rose by more than 7%,...

We study whether and why parents have gender-stereotyped beliefs when they assess their child's skills. Exploiting systematic differences in parental beliefs about a child's skills and blindly graded standardized test scores, we find that parents overestimate boys' skills more so than girls' in...