Effects of tax exemption on economic growth by Marconi Silva Miranda, Marco Aurélio Marques Ferreira, Luiz Antônio Abrantes, Suélem Viana Macedo

“…The empirical strategy employed used statistical models in panel data and quantile regression, taking the period between 2007 and 2017. …”
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İŞLEM HACMİ İLE HİSSE SENEDİ GETİRİLERİ ARASINDAKİ İLİŞKİNİN İNCELENMESİ: BANKA HİSSELERİNE DAYALI BİR ANALİZ by Önder Büberkökü

“…This study examines the relationship between stockreturns and trading volume for 10 deposit banks traded on Borsa İstanbul. A quantile regression is usedto investigate the contemporaneous relationship between the variables, andHatemi-J (2012) test is employed to investigate the asymmetric causalitybetween the variables. …”
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Study of Risk Factors in Global Stock Markets During the COVID-19 Pandemic Under Different Market Conditions by Francisco Jareño, María-Isabel Martínez-Serna, Pablo Sánchez

“…Using data from seven countries heavily affected by the sanitary crisis, over the period between January 2020 and December 2021, we estimate an extended risk factor model through the quantile regression approach, with the purpose of identifying distinct sensitivities to risk sources depending on the bullish or bearish state of the market. …”
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Weibo Attention and Stock Market Performance: Some Empirical Evidence by Minghua Dong, Xiong Xiong, Xiao Li, Dehua Shen

“…Thirdly, we generally find that higher Weibo attention indicates higher correlation coefficients with the quantile regression analysis.…”
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Age- and sex-adjusted CT-based reference values for temporal muscle thickness, cross-sectional area and radiodensity by Emilia K. Pesonen, Otso Arponen, Jaakko Niinimäki, Nicole Hernández, Lasse Pikkarainen, Sami Tetri, Tommi K. Korhonen

“…TMT, TMA and radiodensity were measured, measurement reliability was quantified, and sex-adjusted reference values were calculated for each age decade. Quantile regression was used to model age-related changes in muscle morphomics. …”
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Connectedness between Gold and Cryptocurrencies in COVID-19 Pandemic: A Frequency-Dependent Asymmetric and Causality Analysis by Zynobia Barson, Peterson Owusu Junior, Anokye M. Adam, Emmanuel Asafo-Adjei

“…Hence, the variational mode decomposition-based quantile regression is utilised. Findings from the study divulge that the variational mode functions at the lower quantiles are mostly significant and negative indicating that gold acts as a safe haven, a diversifier at most market conditions with insignificant coefficients, and a hedge at normal market conditions for most cryptocurrencies at various investment horizons. …”
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Human Capital and Rural Households’ Vulnerability to Relative Poverty: Evidence from China by Jianfeng Su, Shurui Guo

“…We analyze the impact of human capital on vulnerability to relative poverty by using the two-way fixed-effected model and panel quantile regression. Empirical results exhibited that labor force migration, health, education, and working experience all have a negative effect on vulnerability to relative poverty. …”
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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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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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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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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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