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 investigates the interacting role of institutional quality in the capacity of innovation and entrepreneurship development nexus in Africa. The paper operationalises the entrepreneurship development from the perspective of new venture creation in Africa, while innovation is based on an...

This paper examines the relationship between corruption and foreign direct investment (FDI) inflows in European Union member states using a dynamic panel framework. Using an unbalanced EU panel from 2002 to 2022 and an Arellano-Bond difference-GMM specification, we model inward FDI inflows per...

This study examines the impact of financial inclusion on income inequality across 33 provinces in Indonesia from 2015 to 2023, while controlling for human development and investment-related factors. Specifically, it investigates the effects of the Financial Inclusion Index (FII), Human...

Statistical inference-both estimation and testing-for stochastic volatility (SV) models is known to be challenging and computationally demanding. We propose simple and efficient estimators for SV models with conditionally heavy-tailed error distributions, particularly the Student's t and...

This study examines the systemic operational risk in Morocco's banking sector using a Panel VAR model based on data from three banks over ten years. The model includes real GDP, interbank rate (TMP), and bank credit, alongside indicators of operational, credit, and liquidity risks. The Impulse...

The theoretical and empirical evidence that innovation activities positively affect the economic performance of countries is overwhelming. However, since innovation rates vary across countries, the positive impact of innovation activities also varies across countries. As a result, it is crucial...

Structural estimation in economics often makes use of models formulated in terms of moment conditions. While these moment conditions are generally well-motivated, it is often unknown whether the moment restrictions hold exactly. We consider a framework where researchers model their belief about...

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 ref gression (MMQR). The results show a U-shaped relationship between CSR and bank stability at location-based and across...

This research aimed to identify existence of a New Keynesian Phillips Curve in Vietnam. The examined period was 2012Q2 - 2025Q2, using secondary macroeconomics data and the Generalised Moments Method at 95% level of confidence. The dependent variables were price inflation and wage inflation,...

We propose a novel dynamic panel estimator. Different from the commonly used difference and system GMM, our proposed estimator requires only one of the crosssectional dimension (N) or the time dimension (T) to grow large to be asymptotically unbiased. This improves reliability in panels with...

Contrary to claims in studies on financial economics, a sparse database often obscures the identification of parameters in macroeconomic models. These identification problems originate from the poorly defined mapping between a structural model and reduced-form parameters. Hence, researchers rely...

Evidence on how energy poverty persistence and vulnerability to key factors are distributed across different population groups remains scarce. This paper seeks to bridge this gap by analyzing the dynamics and determinants of energy poverty within population clusters. The significance of the...

Governments across the globe are implementing stricter environmental policies to combat climate change and promote sustainability. This study contributes to the growing literature exploring the influence of environmental policy on skill-biased employment across various occupations. Specifically,...

In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. In Psychometrics such variables are analysed under the heading of item response models (IRM). In Econometrics,...

We develop a practical way of addressing the Errors-In-Variables (EIV) problem in the Generalized Method of Moments (GMM) framework. We focus on the settings in which the variability of the EIV is a fraction of that of the mismeasured variables, which is typical for empirical applications. For...

We propose the double robust Lagrange multiplier (DRLM) statistic for testing hypotheses specified on the minimizer of the population continuous updating objective function. The (bounding) χ2 limiting distribution of the DRLM statistic is robust to both misspecification and weak identification,...

Using both GMM estimation and the Bayesian approaches during the period of 2007 to 2021 to examine the impacts of liquidity creation (LC) on banking stability (Bank Stability-BS) on the sample of 53 banks in 5 Southeast Asian countries (ASEAN-5), the author has become a pioneer that carries out...

This paper studies the limiting behavior of the test for instrument exogeneity in linear models when there is uncertainty about the strength of the identification signal. We consider the test for conditional moment restrictions with an expanding set of constructed instruments. We establish the...

This paper studies a dynamic ordered logit model for panel data with fixed effects. The main contribution of the paper is to construct a set of valid moment conditions that are free of the fixed effects. The moment functions can be computed using four or more periods of data, and the paper...

This study investigates how energy consumption and foreign direct investment (FDI) influenced economic growth in BRICS+ countries from 1990 to 2021, using a two-step System GMM estimator to address endogeneity and dynamic effects. While the results show that both energy and FDI positively...

This study investigates the nexus between leverage and financial performance in a sample of 54 Moroccan agricultural small- and medium-sized enterprises (SMEs) over the period of 2017-2022. Drawing on trade-off, pecking order, and agency theories, this analysis examines whether different levels...

The empirical outcomes of previous studies examining the relationship between economic growth and socio-economic indicators have been inconclusive and conflicting. To further probe into the study area, the current research employed a dynamic panel model estimated via three robust dynamic panel...

The study aims to examine the determinants that affect the firm's performance in the service industries. Moreover, the study examines step-by-step how to choose the best model among the various panel data models.After employing the secondary data of the service industry firms from the CRIBIS...

The Export-Led Growth Hypothesis (ELGH) posits that expanding exports drive long-run economic growth. While this has held true for several Asian economies, its effectiveness across African regional blocs remains underexplored. This study investigates the validity of ELGH in the East African...

This study aims to analyze the determinants of bank profitability in Angola by employing panel data econometric models, specifically, the Generalized Method of Moments (GMM), to assess the impact of internal and external factors on the financial indicators ROE, ROA, and NIM for the period 2016...

Identifying populations at risk of deprivation is crucial for effective policy design. Yet, much existing research focuses on single aspects, such as income or material deprivation, and often abstracts from deprivation dynamics. This study addresses this gap by analyzing the dynamics and...