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,...

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 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...

Moment condition models with mixed identification strength are models that are point identified but with estimating moment functions that are allowed to drift to 0 uniformly over the parameter space. Even though identification fails in the limit, depending on how slow the moment functions...

Spatial econometrics deals with econometric modeling in the presence of spatial dependence and heterogeneity, where observations correspond to specific spatial units such as points or regions. Traditional estimation techniques assume independent observations and are inadequate when spatial...

In the contemporary global landscape, understanding the nexus between financial inclusion and natural resource abundance is crucial, especially for resource-rich nations. This study uses diagnostic tests and method of moments quantile regression to examines this interplay across Australia,...

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...

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...

This study investigates the impact of geopolitical risk, firm characteristics, and macroeconomic variables on the performance of non-financial firms listed on the Egyptian Stock Exchange. The study analyzes a panel dataset consisting of 182 Egyptian firms over the period 2014-2023. Using the...

This study explores the impact of greenness on real capital investment on all New York Stock Exchange (NYSE) firms between 2002 and 2021. We measure the greenness of a firm by adjusting the environmental component of its environmental, social, and governance (ESG) score for industry and market...

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...

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 provides new panel evidence on the effects on climate risk on financial stability in the European banking sector using yearly data over the period 2000-2021. More specifically, the impact of a number of climate risk indices on the Z-score (capturing the probability of default of a...

This study examines the impact of Hofstede's six cultural dimensions and institutional quality on financial development in the periods preceding and following the global financial crisis. The study analyzes data from 33 countries spanning 2001 to 2021 using a combination of OLS, two-stage GMM,...

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...

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...

The aim of this paper is to investigate the relationship between local banking and prosperity at the municipal level in Italy from 2011 to 2021. The latter variable is measured using an index proposed by Sen (1976). The analysis is based on panel regressions including a measure of local banking...

This study investigates the impacts of fintech adoption, financial inclusion, and financial integration on income inequality in European countries. Utilising panel data from European nations and employing Generalised Method of Moments (GMM) regression models, we examine the relationships between...

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...

Using a dynamic panel dataset of 150 countries for the period of 2006-2018 and a twostep system GMM estimation model, this paper shows that natural resources have a positive effect on economic development while holding corruption constant. Our findings support the notion that natural resources...