Bayesian Estimation of Archimedean Copula-Based SUR Quantile Models by Nachatchapong Kaewsompong, Paravee Maneejuk, Woraphon Yamaka

“…We propose a high-dimensional copula to model the dependence structure of the seemingly unrelated quantile regression. As the conventional model faces with the strong assumption of the multivariate normal distribution and the linear dependence structure, thus, we apply the multivariate exchangeable copula function to relax this assumption. …”
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Emission Reduction Effect and Mechanism of Auto-Purchase Tax Preference by Kai Lisa Lo, Yaqi Fan, Congzhi Zhang, Jackson Jinhong Mi

“…We find that the tax incentives can effectively suppress the emission of urban pollutants. The quantile regression shows that the emission reduction effect of the tax incentives shows a dynamic change characteristic of weakening as the pollution level in cities increases. …”
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Can household energy efficiency dampen crude oil price volatility in the United States? by Ojonugwa Usman, Oktay Ozkan, Chinazaekpere Nwani, Festus Victor Bekun, Andrew Adewale Alola

“…Applying the multivariate case of Quantile-on-Quantile Regression, the empirical results show that household energy efficiency dampens crude oil price volatility with a stronger connection in quantiles before the median quantiles of crude oil price volatility. …”
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Housing Price Appreciation Effects of Elevator Installation in Old Residential Areas: Empirical Evidence Based on a Multiperiod DID Model by Shichang Ma, Tingting Li, Yunfan Yang

“…The results of quantile regression analysis show that the appreciation effect brought by the installation of elevators increases with the increase in the residential value.…”
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THE NEXUS BETWEEN EMPLOYEE HAPPINESS AND COMPANY PERFORMANCE by Maria-Teodora PAPAINOG

“…The empirical study focuses on approximately 12,343 companies operating in various sectors, for which financial data for the reference period 2013-2022 were collected from the ORBIS platform. Quantile regression and panel smooth transition regression models were used as estimation methodologies. …”
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Automation Systems Implications on Economic Performance of Industrial Sectors in Selected European Union Countries by Nicoleta Mihaela Doran, Gabriela Badareu, Silvia Puiu

“…To explore these relationships, the study employs the Method of Moments Quantile Regression (MMQR) methodology, which enables the assessment of the effects of robot density across different levels of sectoral performance while accounting for cross-country variations and heterogeneity. …”
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Determinants and Academic Performance: The Role of Prerequisites in University Achievement by Maria Giulia Ballatore, Anita Tabacco

“…Binary logistic and quantile regression analyses confirm the effectiveness of the TIL as a predictive tool, suggesting the need to revise orientation and admission policies to better support students’ transition from school to university. …”
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Does renewable energy reduce energy intensity? A matter of income inequality by Rongrong Li, Zhuang Yang, Qiang Wang

“…By employing the Panel Threshold Model and Unconditional Quantile Regression based on the Re-centered Influence Function, the analysis focuses on the moderating role of income inequality in shaping the impact of renewable energy consumption on energy intensity. …”
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Exploring the Impact of Economic Growth and Energy Consumption on Environmental Pollution in the TR90 Region: An Insight from the MMQR Approach by Tunahan Hacıimamoğlu, Vildan Yavuz Akinci, Korkmaz Yıldırım

“…This study utilizes the innovative Method of Moments Quantile Regression (MMQR) approach to investigate these effects. …”
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Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction by Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin

“…The Q*NN hyperparameters are optimized using an efficient Bayesian optimization, before the Q*NN models are compared with regression and quantile regression models for four horizons. The analysis of point-forecast and quantile-related metrics shows the superior performance of the novel Q*NN models. …”
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Unlocking African economic growth potentials through the lenses of trade openness and financial development shocks by Abdussalam Aljadani, Ridwan Lanre Ibrahim, Lukman Raimi, Usama Al-Mulali, Mamdouh Abdulaziz Saleh Al-Faryan

“…Using robust methodologies such as the Pooled Mean Group (PMG) and Quantile Regression (QR), we find that trade openness is a critical driver of EG. …”
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Exploring the role of ICT adoption technologies and renewable energy consumption in achieving a sustainable environment in the United States: an SDGs-based policy framework by Tomiwa Sunday Adebayo, Oktay Özkan, Dilber Uzun Ozsahin, Babatunde Sunday Eweade, Bright Akwasi Gyamfi

“…The study employs wavelet quantile-on-quantile regression along with quantile cointegration to analyze these dynamics across different quantiles and timeframes. …”
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Digital governance leveraging urbanization and fintech synergies for sustainable development in BRICS by Chenyu Zhang

“…Utilizing a comprehensive panel dataset covering all BRICS nations from 2000 to 2022, the study employs advanced econometric techniques, including second-generation unit root tests, the Westerlund cointegration approach, and the Method of Moments Quantile Regression (MMQR). Additionally, the Augmented Mean Group (AMG) method is used to assess the robustness and stability of the findings. …”
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Impact of tourism, globalization, and technological patents on ecological footprint in ASEAN countries: static and dynamic panel regression approaches by Nazhat Nury Aspy, Liton Chandra Voumik, Miguel Angel Esquivias, Lilik Sugiharti, Mihir Kumar Das, Dulal Chandra Pattak

“…Focusing on eight ASEAN nations (Brunei, Cambodia, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam) for the period between 1990 and 2020, this study employs Driscoll Kraay Standard Error (DKSE) and Quantile Regression methodologies to examine this phenomenon comprehensively. …”
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A Systemic Contribution and Vulnerability of Non-financial Firms: A Cross Industry Analysis by Zafar Azam, Abdul Raheman, Abdul Rashid

“…We apply two firm-specific measures, namely Delta CoVaR (ΔCoVaR) and Marginal Expected Shortfall (MES), to evaluate the systemic risk of 205 non-financial firms listed on the Pakistan Stock Exchange over the period from 2005-2021. We apply quantile regression methodology to quantify (ΔCoVaR). We confirm that a significant number of firms contribute to both system-wide shocks and are vulnerable to systemic risk of the whole system. …”
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Shifting Landscape of Rural Transformation in Bangladesh: Exploring the Interplay of Non‐Farm GDP, Infrastructure and Education by Subrata Saha, Mohammad Jahangir Alam, Al Amin Al Abbasi, Ismat Ara Begum, Maria Fay Rola‐Rubzen

“…This study employed the Fixed Effects Model, Moment‐Quantile Regression with Fixed Effects Model, and Feasible Generalised Least Squares for checking robustness. …”
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Has Internet Usage Really Narrowed the Gender Wage Gap?: Evidence from Chinese General Social Survey Data by Jiacheng Gao, Yue Liu

“…Based on the data from a sample of 4832 from the Chinese General Social Survey in 2018, this study examines the impact of Internet usage on the wage equation for males and females by using the robust least squares regression method, the threshold regression method, and the quantile regression method and decomposes the gender wage gap on this basis by using the RIF regression decomposition method. …”
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Carbon pricing in agriculture: a systematic literature review by Daniela Tatiane de Souza, Fernando Antônio de Pádua Paim, Lauro Rodrigues Nogueira Júnior, Carlos Cesar Ronquim, Pedro Gilberto Cavalcante Filho

“…In 2021, the estimated carbon value for Brazilian agriculture using quantile regression was USD 11.54/tCO2e. It is therefore critical that scientifically robust carbon pricing methodologies be applied to agriculture to serve as benchmarks for national environmental valuation systems.…”
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Grant Activities and Sustainability of Higher Education Institutions: Evidence from Russia by D. A. Endovitsky, V. V. Korotkikh, E. Y. Bubnova

“…In this research, we used the quantile regression model to identify the effects of inertial development and the effects associated with grant activities in the dynamics of universities performance indicators. …”
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The impact of land transfer on food security: the mediating role of environmental regulation and green technology innovation by Ming Xu, Ming Xu, Zhaoyang Lu, Xinyue Wang, Guangwei Hou

“…In this context, the study of the impact of land transfer (TF) on food security (FS) provides a new perspective for land resource optimization.MethodsBased on the empirical data of 30 provinces and regions in China from 2010 to 2022, this paper used the two-way fixed effect model to explore the causal relationship and the intermediary relationship between the two. Moreover, quantile regression is used to further explore the heterogeneity. …”
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