We show that the choice of the welfare measure has a substantial impact on the degree of welfare-related health inequality. Combining various income and wealth measures with different health measures, we calculate 80 health concentration indices. The influence of the welfare measure is more...

This paper investigates how the conditional quantiles of future returns and volatility of financial assets vary with various measures of ex-post variation in asset prices as well as option-implied volatility. We work in the exible quantile regression framework and rely on recently developed...

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the...

Most countries show a residency discount in rents for sitting tenants. In the wake of strong rent increases and housing shortages, Germany implemented a reform in 2001 to curtail rent increases. Based on linked housing-tenant data for Germany, this paper estimates panel OLS and quantile...

Most countries show a residency discount in rents for sitting tenants. In the wake of strong rent increases and housing shortages, Germany implemented a reform in 2001 to curtail rent increases. Based on linked housing-tenant data for Germany, this paper estimates panel OLS and quantile...

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the...

We augment the existing literature using the Log-Periodic Power Law Singular (LPPLS) structures in the log-price dynamics to diagnose financial bubbles by providing three main innovations. First, we introduce the quantile regression to the LPPLS detection problem. This allows us to disentangle...

Development aid does not always exert the desired positive effect on economic growth in recipient countries and it is even feared that it may reduce total factor productivity (TFP) and may discourage recipient countries ́efforts. This study seeks to contribute to the research on aid...

This paper evaluates bootstrap inference methods for quantile regression panel data models. We propose to construct confidence intervals for the parameters of interest using percentile bootstrap with pairwise resampling. We study three different bootstrapping procedures. First, the bootstrap...

In order to integrate and facilitate the research, calculation and analysis methods around the Financial Risk Meter (FRM) project, the R package RiskAnalytics has been developed. Its main goal is to provide data processing and parallelized quantile lasso regression methods for risk analysis...