Macroeconomic Determinants of Investment Decisions for Medium and Large Enterprises in Poland’s Manufacturing Sector by Adam Andrzej Zając, Michał Wielechowski, Krzysztof Smoleń, Dariusz Karaś

“…Cointegration analysis and the Vector Error Correction Model (VECM) are employed to identify macroeconomic indicators that consistently impact the propensity to invest in specific sectors, while also assessing the presence of investment seasonality. …”
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Impact of human capital and remittances on agricultural productivity in Bangladesh by Subrata Saha, Mohammad Jahangir Alam, Al Amin Al Abbasi, Ismat Ara Begum, Maria Fay Rola-Rubzen, Andrew M. McKenzie

“…Using data from four waves of the nationally representative Household Income and Expenditure Survey, the study employs Ordinary Least Squares, Fixed Effects, and Panel Corrected Standard Error Models. The findings indicate a positive association between agricultural labor productivity and both human capital and remittance inflows, with additional gains observed from improved access to technology and electricity. …”
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The Impact of Climatic and Environmental Factors on the Frequency of Natural Disasters in the Insurance Sector in G7 Countries by Serap Yörübulut

“…While Pedroni and Kao cointegration tests reveal the existence of a long-term relationship between the variables, the Panel Error Correction Model (ECM) results corrected with Driscoll-Kraay standard errors show that greenhouse gas emissions and the LCF factor, which seem to be ineffective in the short term, become determinants of the frequency of natural disasters in the long term. …”
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The Relationship between Macroeconomic Variables and South African Commercial Bank Performance by Fabian Moodley, Babatunde Lawrence, Surendran Pillay

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Sovereign Credit Rating Determinants of the EU Countries: The Role of the Euro Area Crisis and Its Legacy by Ewa Stawasz-Grabowska

“…The frequency of data is yearly, and panel error correction model is used as the main research method. …”
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Country governance nexus with the financial stability of banks: The moderating effect of country’s income level by Protap K. GHOSH, Saira B. KHARUDDIN, Fakarudin B. KAMARUDIN

“…To ensure robustness in the estimation, this study uses panel corrected standard error (PCSE) estimation model for the direct and moderating effect analysis. …”
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The Impact of Tax Morality on Tax Evasion: Evidence of EU Countries by Oleksiy Mazurenko, Inna Tiutiunyk, Lilia Derkach

“…The methodological tools of the research include the analytical method, methods of analysis and synthesis, econometric analysis methods (Panel unit root test, Pedroni panel cointegration tests, Pearson’s correlation test, Greanger test, Panel Vector Error Correction Estimate model). …”
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ANALYZING HOW URBANIZATION IMPACTS ECONOMIC GROWTH IN NIGERIA by Ahmed Oluwatobi Adekunle

“…Essentially, the study uses unit root testing, vector error correction model (VECM) and causality method to analyze the data span over 1986-2021. …”
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Climate-related financial policies as an enabler of circularity: a new insight from selected countries of the European Union by Nguyen Hong Yen, Le Thanh Ha

“…Design/methodology/approach – The authors use a panel-corrected standard errors (PCSE) model, a feasible generalized least square model and the two-step general method of moment to explore this link. …”
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Do debt financing, tech-driven transformation and corporate governance enhance or constrain financial reporting quality? Evidence from China by Ummar Faruk Saeed, Abdul-Karim Mohammed

“…To test the proposed hypotheses, the study employs dynamic GMM modeling to address endogeneity, including reverse causality, omitted variable bias, measurement errors and unobserved heterogeneity, and uses Driscoll-Kraay standard errors to correct for heteroskedasticity, autocorrelation, and cross-sectional dependence. …”
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Financial globalization, Poverty, and inequality in developing countries: The moderating role of Fintech and financial inclusion by Chadi Azmeh

“…Utilizing an advanced panel regression model backed by Panel-Corrected Standard Errors (PCSE) and Feasible Generalized Least Squares (FGLS) estimation techniques, we reveal that the relationship between foreign bank entry and socio-economic outcomes is multifaceted and influenced by the moderating roles of Fintech and financial inclusion initiatives. …”
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