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...

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 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...

Using a fixed-effects panel threshold regression with Driscoll-Kraay inference, this paper examines how institutional quality shapes the distributional effects of foreign direct investment (FDI) in the ASEAN-5 economies (Indonesia, Malaysia, the Philippines, Thailand, and Vietnam) over...

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...

Extreme movements in financial time series pose challenges for risk management and forecasting, particularly when their timing is irregular and difficult to anticipate. This study aims to develop a probabilistic framework for detecting and predicting such events using daily Bitcoin returns as a...

Rank-rank regression is commonly employed in economic research as a way of capturing the relationship between two economic variables. It frequently features in studies of intergenerational mobility as the resulting coefficient, capturing the rank correlation between the variables, is easy to...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...

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...