The propensity score defining the probability of completing a given degree of education - to balance covariates - and the Mincer equation is here estimated at various degrees of higher education. The novelty is in implementing propensity score and regression estimators together in a...

Despite the massive incorporation of women into the labor market, equal pay for equal work remains a challenge. This article analyzes the influence of gender diversity in management positions on the gender wage gap (GWG) throughout the entire pay scale in Spain. The results show the existence of...

This study aimed to evaluate the conditional effect of exchange rate volatility on stock prices and returns in the emerging markets of BRICS nations. Using daily data from 1 January 2000 to 30 December 2023, wavelet and quantile analysis were conducted. The Markov-regime model was estimated for...

This study estimates the labor market returns to non-cognitive skills among the youth under 30 years old during the early career stage. Using data from the Russian Longitudinal Monitoring Survey (RLMS-HSE) for 2016 and 2019, it examines the effects of the Big Five personality traits (openness,...

This study aimed to evaluate the conditional effect of exchange rate volatility on stock prices and returns in the emerging markets of BRICS nations. Using daily data from 1 January 2000 to 30 December 2023, wavelet and quantile analysis were conducted. The Markov-regime model was estimated for...

Nobel Prize winner Daniel Kahneman's last published paper is an adversarial collaboration in which he and Matthew Killingsworth reconcile conflicting empirical results from their previous research on income and reported happiness, with Barbara Mellers as a facilitator. The empirical results use...

Previous studies on the relationship between government debt and economic growth have produced very diverse findings. This study examines the relationship between public debt and economic growth in developing countries using a quantile regression approach with fixed effects and bootstrapping on...

The study investigates the effects of regulatory quality, green innovation, and their interaction on carbon emissions in 13 Asian countries from 1991 to 2022. The factors influencing emissions reduction in the region are investigated using PMG, GEE, Quantile regression, Panel Corrected Standard...

This study aims at shedding light on how e-commerce contributes to climate change in European Union countries. To explore this relationship, we introduced a novel index designed to measure the evolution of climate change as the dependent variable, while considering e-commerce activities as the...

Nobel Prize winner Daniel Kahneman's last published paper is an adversarial collaboration in which he and Matthew Killingsworth reconcile conflicting empirical results from their previous research on income and reported happiness, with Barbara Mellers as a facilitator. The empirical results use...

We study the impact of cyclical systemic risks on banks' profitability in the euro area within a panel quantile regression model, with the ultimate goal to inform the calibration of the Countercyclical Capital buffer (CCyB). Compared to previous studies, we augment our model to control for...

In this article, we analyse the drivers of international migration in the European Union (EU) using data from 23 EU countries in Bayesian model averaging and quantile regression. Our findings reveal that the association between differences in earnings and migration is twice as strong as that of...

This paper revisits the question of how shocks to expectations of market participants can cause business cycle fluctuations. We use a vector autoregression to estimate dynamic causal effects of belief shocks which are extracted from nowcast errors about output growth. In a first step, we...

Unmanned aircraft vehicles (UAV) are widely used for yield estimations in agricultural production. Many significant improvements have been made towards the usage of hyperspectral and thermal sensors. The practical application of these new techniques meanwhile has been limited by the cost of data...

Having highly educated workers can be beneficial for organizations in terms of innovation and problem-solving capabilities, however when underpaid and underemployed, overeducated workers may experience feelings of frustration and stagnation as they are unable to fully utilize their skills and...

In 2020, the world was shaken by a very unexpected development, an unseen virus which could kill millions and spread without control. To reduce the impact of the pandemic and before the vaccine was created, lockdown and other safety measures were implemented. In this context, the socio-economic...

We apply the growth-at-risk model of Adrian et al. (2019) to the German commercial real estate (CRE) market. We derive a distribution for CRE price growth four quarters ahead conditional on macro-financial variables. This approach allows us to make probability statements about the downside risk...

Our research interest is in the existence and size of possible peer effects in pay or whether a worker may get a higher salary because another worker does rather than being related to a change in the worker's productivity or market forces. Previous research, which has concentrated on executive...

Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable...

Recognizing the profound influence of geopolitical risks and world uncertainty on financial investment behaviour, this study uses a comprehensive approach to assess the impact of rising geopolitical risk on sovereign debt holdings for a panel of 24 OECD economies from Q1 2004 to Q4 2023. To do...

Quantile crossing has been a challenge for quantile regression, leading to research in how to obtain monotonically increasing quantile estimates. While important contributions, these papers do not provide insight into how enforcing monotonicity influences the estimated coefficients. This paper...

This article examines the effect of leader longevity in power on world happiness. To make the assessment, a sample composed of 135 countries observed over the period 2006 to 2018 was constituted. The results obtained from OLS estimates show that longevity in power reduces individual happiness....

We apply the growth-at-risk model of Adrian et al. (2019) to the German commercial real estate (CRE) market. We derive a distribution for CRE price growth four quarters ahead conditional on macro-financial variables. This approach allows us to make probability statements about the downside risk...

Quantile crossing has been a challenge for quantile regression, leading to research in how to obtain monotonically increasing quantile estimates. While important contributions, these papers do not provide insight into how enforcing monotonicity influences the estimated coefficients. This paper...

This article examines the effect of leader longevity in power on world happiness. To make the assessment, a sample composed of 135 countries observed over the period 2006 to 2018 was constituted. The results obtained from OLS estimates show that longevity in power reduces individual happiness....

This article examines the link between the digital divide and women's economic participation. We use a cross-sectional model based on a panel of 45 African countries. Our results show that the digital divide (cell phone, bandwidth and Internet) worsens women's economic participation. The...

This reprint concerns methods of data analysis for risk management in economics, finance, and business. The presented papers contain research on data analysis methods, including classical statistical methods, and machine learning methods that have emerged from statistics and are being...

The relevance of domestic credit to an economy has spurred interest in studies that seek to examine the factors that determine it. In this study, the focus is to evaluate the role of exogenous factors in influencing domestic credit provision in Nigeria. The study used a monthly dataset that...