Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to the tails, is of interest in many...

In this paper we develop procedures for performing inference in regression models about how potential policy interventions affect the entire marginal distribution of an outcome of interest. These policy interventions consist of either changes in the distribution of covariates related to the...

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...

This paper employs quantile panel regression to the study of fuel price elasticities. Contrasting with standard panel approaches, this method reveals the impact of explanatory variables across all points in the conditional distribution of the response variable while controlling for unobserved...

We compare the income and wage trajectories of women in relation to their male partners before and after parenthood. Focusing on the within-couple gap allows us to control for both observed and unobserved attributes of the spouse and to estimate both short- and long-term effects of entering...

This paper analyses Delta CoVaR proposed by Adrian and Brunnermeier (2008) as a tool for identifying/ranking systemically important institutions and assessing interconnectedness. We develop a test of significance of Delta CoVaR that allows determining whether or not a financial institution can...

Children of Asian immigrants in most English-speaking destinations have better academic outcomes, yet the underlying causes of their advantages are under-studied. We employ panel time-use diaries by two cohorts of children observed over a decade to present new evidence that children of Asian...

Children of Asian immigrants in most English-speaking destinations have better academic outcomes, yet the underlying causes of their advantages are under-studied. We employ panel time-use diaries by two cohorts of children observed over a decade to present new evidence that children of Asian...

The instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2005) is a popular tool for estimating causal quantile effects with endogenous covariates. However, estimation is complicated by the non-smoothness and non-convexity of the IVQR GMM objective function. This...

Even before the events of the past few years, economists and policy makers were musing about the apparent contradiction between globalization, as it is generally understood, and the seemingly different paths in overall economic activity taken by the emerging and more mature economies of the...