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....

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 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 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 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...

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...

Artificial intelligence (AI) is a key driver of the energy transition and sustainable economic development. However, the specific mechanisms through which AI adoption impacts renewable energy production versus consumption remain poorly understood. This study addresses this research gap by...

This study proposes a regression-based estimation method in difference-in-differences settings in the presence of time-varying covariates - a scenario commonly encountered in applications. We impose only a conditional parallel trends assumption with time-varying covariates and plausible...

This study investigates the nonlinear and regime-dependent relationship between climate policy uncertainty (CPU) and sovereign credit default swap (CDS) spreads across a panel of developed and emerging economies from February 2010 to March 2025. Utilizing the Quantile-on-Quantile Regression...

The rising success of right-wing populist parties and governments affects the cooperation of states in many areas such as the mitigation of climate change or common solutions to the refugee problem. Therefore, a better understanding of the reasons behind the growing importance of right-wing...

This study analyzed the determinants of air cargo volumes between airports using an augmented gravity model. Data from 115 airport pairs in China spanning 2009-2020 were utilized. The findings reveal that economic disparity significantly influences air cargo volumes, with greater economic...

This study considers the nonlinear relationship between GDP growth and unemployment in France (1975-2024) using a logistic smooth transition regression (LSTR) model. Findings reveal a threshold unemployment rate of 7.93%, above which the traditional Okun's law holds (GDP growth reduces...

Valuing private enterprises - particularly early-stage firms - remains a significant challenge due to high variability and frequent overvaluation, often exceeding 50%. These inaccuracies undermine trust in the venture capital (VC) market and complicate investment decision-making. To address...

China's economy has developed rapidly since its reform and opening-up. However, the different rates of development in various places due to location and policies have led to significant economic differences. Based on the nighttime lighting data of 281 municipal spatial units in China from 2013...