This study introduces a new family of distributions (FoD) called type I heavy-tailed odd Burr III-G (TI-HT-OBIII-G) distribution. Several statistical properties of the family are derived along with actuarial risk measures. The maximum likelihood estimation (MLE) approach is adopted in the...

There is growing concern that climate change poses a serious threat to the sustainability of the insurance business. Understanding whether climate warming is a cause for an increase in claims and losses, and how this cause-effect relationship will develop in the future, are two significant open...

This paper provides a critical examination of the empirical basis of the output convergence debate in the light of recent developments in the analysis of dynamic heterogeneous panels with interactive effects. It shows that popular tools such as Barro's cross-country regressions and two-way fixed...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

It is well known that standard frequentist inference breaks down in IV regressions with weak instruments. Bayesian inference with diffuse priors suffers from the same problem. We show that the issue arises because flat priors on the first-stage coefficients overstate instrument strength. In...

This paper applies the Growth-at-Risk (GaR) framework to assess downside risks to euro area GDP growth, and it examines its usefulness for stress testing. Supervisory stress-test scenarios are often criticized for being either too mild or implausibly severe, raising questions about calibration....

This paper introduces Bai-Perron structural break detection combined with negative binomial regression to model overdispersed U.S. IPO count data. Using monthly data from 1995 to 2024, we identify five breaks that partition IPO activity into six distinct regimes, each with fundamentally...

We investigate the impact of structural shocks on the joint distribution of future real GDP growth and inflation in the euro area. We model the conditional mean of these variables, along with selected financial indicators, using a VAR and perform quantile regressions on the VAR residuals to...

Does "full vertical alignment" - political congruence across national, state, and local tiers - drive economic development? Using a sharp regression discontinuity design based on close state elections in India, we estimate the causal effects of multilevel alignment on growth, inequality, and...

This paper aims to analyze whether chief executive officer (CEO) characteristics are linked with corporate decisions to hire external auditors with forensic accounting skills.The research explores how attributes such as CEO education, compensation, age and duality influence this corporate...

Most empirical estimates of the trade elasticity exploit tariff variation generated by Preferential Trade Agreements (PTAs). Because firms only partly utilize preferential tariffs, standard regressions identify an eligible-tariff elasticity rather than the structural elasticity with respect to...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

Vaccine hesitancy is a crucial public health issue worldwide. In this paper, we evaluate the causal impact of a vaccination-based access restriction policy on vaccine uptake by exploiting the introduction of the EU Digital COVID-19 Certificate at the country level. We compare two countries,...

This paper studies the causal impact of female political representation on legislative behavior, social attitudes, and gender-based crime. Using a regression discontinuity design based on close mixed-gender electoral contests, we compare electorates that narrowly elected female versus male...

The key assumption of normally distributed error terms is usually not tested in empirical practice when using ordered probit models. Therefore, an artificial regression version of the LM test against the class of Pearson distributions is derived that can be implemented more easily than the...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

We estimate the effect of receiving a higher grade on an academic high school exit exam on labor-market outcomes in adulthood. Identification is based on comparing students on different sides of grade cutoffs. Using nationwide Finnish register data, we find that better grades lead to higher...

Mainly through regression discontinuity designs, Khanna (2023a) studies the impacts of a primaryschooling expansion in India in the 1990s. Absent from the data set are four districts close tothe modeled treatment discontinuity. Incorporating them cuts the impact of intention to treat onschooling...

This study explores the determinants of business survival in Spain's tropical and subtropical fruit sector from 2006 to 2021. Using data from the Iberian Financial Statements Analysis System, and applying survival analysis techniques including Cox regression, we assess the effects of factors...

Patriarchal attitudes persistently constrain women's employment outcomes in Turkey. This study investigates individual-level determinants of preferences for employment patriarchy using the World Values Survey (WVS) Wave 7 data for the Turkish case. An ordered probit model is utilized to quantify...

This study examines whether size-contingent employment regulations are associated with distortions in firm size distribution and whether such patterns are more consistent with productivity-based selection or with broader constraints on firm scaling. Using 2024 census data covering 86,758 formal...

This paper examines the impact of fintech adoption and financial inclusion on financial stability in selected countries. Using panel data from 30 countries spanning 2011-2024, the study employs an empirical strategy based on Two-Way Fixed Effects, a dynamic two-step System GMM estimator, and...

This paper examines how logistics performance conditions the relationship between trade openness, economic growth and per capita CO₂ emissions in Mediterranean economies. Using an unbalanced panel of 20 countries over the period 2007-2022, we combine static fixed-effects, dynamic panel...

This paper evaluates EU Cohesion Policy interventions during 2014-2020 using regression discontinuity design (RDD), exploiting funding thresholds at 75 and 90 percent of EU average GDP per capita across 281 NUTS-2 regions. The analysis examines nominal and real GDP per capita growth, GDP per...

this paper explored the impact of market competition on the industry 4. O (I4.O) technology adoption in Indian small and medium sized enterprises (SMEs). The research seeks to explore the competitive pressure between SMEs firms always influence digital changes with different technological...

This study investigates the relationship between corporate social responsibility (CSR) and bank stability in Vietnam from 2016 to 2022 using the method of moments quantile regression (MMQR). The results show a U-shaped relationship between CSR and bank stability at location-based and across...

This paper investigates the methodological performance of Ordinary Least Squares (OLS) regression and Random Forest machine learning algorithms in measuring adjusted gender pay gaps. The research is motivated by the European Union's Pay Transparency Directive (2023/970), which mandates that...

A strong transportation infrastructure is critical in advancing ICT trade by facilitating the efficient movement of goods and services. This efficiency enhances supply chains and attracts greater foreign direct investment, ultimately supporting technological development and boosting the economy....

This study examines the heterogeneous effects of key macroeconomic determinants on economic growth in selected MENA economies using a pooled quantile regression framework. Unlike conventional mean-based approaches, this method captures variation across different segments of the conditional...