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This study aims to examine the impact of local air pollution on the presence of central air conditioners in apartments in Lebanon.

This study applies a Probit model in a unique data set on apartments’ listings for sale in Lebanon collected by Marrouch and Sayour (2021). The data set includes information about air pollution concentrations, dwellings’ characteristics, geographic features and location characteristics.

This study finds that local air pollution positively and significantly affects the presence of central air conditioning in dwellings. The estimated increase in the probability of having central air conditioning for a one microgram per cubic meter increase in Particulate Matter 2.5 concentration is 6.4%.

The data set in this study is cross-sectional and thus does not capture variations over time for the examined variables.

The Probit regression approximates an equation that can predict the presence of central air conditioners in dwellings, which might be useful to policymakers.

The findings suggest that local pollution is a significant factor in household behavior in Lebanon.

This paper adds to the scant literature studying the effects of air pollution on the presence of central air conditioning in developing countries. To the best of the authors’ knowledge, this is the first paper to study the impact of air pollution on the presence of central air conditioning in the Middle East and North Africa Region.

Employment and skill mismatch among youth constitute a major obstacle for access to the job market in the Middle East and North African region. The purpose of this paper is to explore factors explaining employment and the perception of the skill-mismatch problem among the youth in Lebanon using a novel data set covering young people aged from 15 to 29. The paper provides a set of empirical insights that help in the design of public policy targeting school-to-work transition.

The authors control for a rich set of youth and household characteristics to jointly estimate the probability of being employed and the likelihood of reporting a skill-mismatch problem. The empirical analysis uses a bivariate probit model where the first equation estimates the employment status while the second estimates the determinants of skill-mismatch perceptions. The bivariate probit model considers the error terms in both equations to be correlated and the model tests for such a correlation. The authors estimate the model recursively by controlling for the employment dummy variable in the skill-mismatch equation since employed youth could be more or less likely to perceive the skill mismatch. The estimation is conducted first over the whole sample of youth, and then it is implemented by gender and region.

The authors find that youth employment is mainly correlated with age, being male, being single, having received vocational training and financial support from parents, living with parents and receiving current education. The skill-mismatch perceptions are mainly driven by being male, being single, having received post-secondary education and belonging to upper and middle social classes. The authors also find that employability level and skill-mismatch problems are jointly determined in the labor market for males and in the core region only.

The paper covers a country that is neglected in the literature on the employment-skill mismatch nexus in the context of school-to-work transition. The study also uses a novel data set focusing on youth. The paper contributes to our understanding of the school-to-work transition in particular and to the youth-to-adulthood transition in general.

This study aims to examine the impact of local air pollution on housing prices in Lebanon.

The authors apply a hedonic pricing approach using a unique data set from Lebanon. To account for non-linearities in pricing, the authors use three different functional regression forms for the hedonic model approach. The authors also deal with potential omitted variable bias by estimating a hedonic frontier specification.

The authors find that, in all specifications, air pollution negatively and significantly affects housing prices. The estimated marginal willingness to pay for a one microgram per cubic meter change in particulate matter (PM10) concentration ranges between 2.88% and 3.18% of mean housing prices. The authors also provide evidence of a negative pricing gradient away from the city center, landing support for the monocentric urban development hypothesis.

Given the lack of a data set linking household socioeconomic characteristics with housing data, the authors only consider the first-stage hedonic model.

The proposed hedonic pricing regression approximates a housing pricing equation that can be used by policymakers.

The findings suggest that pollution is a significant factor in household behavior in Lebanon.

This paper adds to the scant literature studying the effects of air pollution on housing prices in developing countries. To the best of the authors’ knowledge, this is the first paper to study the impact of pollution on housing prices in a country in the Middle East and North Africa Region.

This paper examines the extreme dependence and asymmetric risk spillovers between crude oil futures and ten US stock sector indices (consumer discretionary, consumer staples, energy, financials, health care, industrials, information technology, materials, telecommunication and utilities) before and during COVID-19 outbreak. This study is based on the rationale that stock sectors exhibit heterogeneity in their response to oil prices depending on whether they are classified as oil-intensive or non-oil-intensive sectors and the possible time variation in the dependence and risk spillover effects.

The authors employ static and dynamic symmetric and asymmetric copula models as well as Conditional Value at Risk (VaR) (CoVaR). Finally, they use robustness tests to validate their results.

Before the COVID-19 pandemic, crude oil returns showed an asymmetric tail dependence with all stock sector returns, except health care and industrials (materials), where an average (symmetric tail) dependence is identified. During the COVID-19 pandemic, crude oil returns exhibit a lower tail dependency with the returns of all stock sectors, except financials and consumer discretionary. Furthermore, there is evidence of downside and upside risk asymmetric spillovers from crude oil to stock sectors and vice versa. Finally, the risk spillovers from stock sectors to crude oil are higher than those from crude oil to stock sectors, and they significantly increase during the pandemic.

There is heterogeneity in the linkages and the asymmetric bidirectional systemic risk between crude oil and US economic sectors during bearish and bullish market conditions; this study is the first to investigate the average and extreme tail dependence and asymmetric spillovers between crude oil and US stock sectors.