Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution...

This paper investigates the effects of the staggered roll-out of a pollution reduction programme introduced in the UK in the 1950s. The policy allowed local authorities to introduce so-called "Smoke Control Areas" (SCAs) which banned smoke emissions. We start by digitizing historical pollution...

This paper proposes a new method to estimate quantile regressions with multiple fixed effects. The method, which expands on the strategy proposed by Machado and Santos Silva (2019), allows for the inclusion of multiple fixed effects and provides various alternatives for estimating standard...

The transition process in Central and Eastern Europe was associated with growing environmental awareness. This paper analyses the determinants of Pollution Abatement and Control Expenditure (PACE) at plant level in the case of Romania using survey data and a Multilevel Regression Model (MRM)....

This paper looks at potential implications emerging from including "shares" as a control variable in fixed effect estimations. By shares I refer to the ratio of a sum of units over another, such as the share of immigrants in a city or school. As will be shown in this paper, a logarithmic...

This paper is motivated by our attempt to answer an empirical question: how is private health insurance take-up in Australia affected by the income threshold at which the Medicare Levy Surcharge (MLS) kicks in? We propose a new difference de-convolution kernel estimator for the location and size...

We address the impact of education upon wage inequality by drawing on evidence from fifteen European countries, during a period ranging between 1980 and 1995. We focus on within-educational-levels wage inequality by estimating quantile regressions of Mincer equations and analysing the...

This paper examines the factors determining variations in spatial rates of overeducation. A quantile regression model has been implemented on a sample of region-yearly data drawn from the EU Survey on Income and Living Conditions (EU-SILC) and several institutional and macroeconomic features...

This paper explores the impact of educational attainment on immigrant earnings in Spain using a Quantile Regression approach. Most of the previous research on the impact schooling on earnings has focused on the mean effect neglecting the discrepancies that arise from unobserved heterogeneity....

Risk averse investors have to be compensated in higher expected returns when facing investments with higher risk. Education is an important investment therefore we use the results for 16 countries to test the positive relationship between return to education and the risk involved in this...