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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Green growth dynamics: unraveling the complex role of financial development and natural resources in shaping renewable energy in Sub-Saharan Africa by Alhasan Osman, Mohd Afjal, Majed Alharthi, Mohamed Elheddad, Nassima Djellouli, Zhang He

“…Employing an array of analytical techniques, including panel-corrected standard errors (PCSE), fixed effects, random effects models, and panel-fixed quantile regression, we delve into the nuanced relationships among these critical variables. …”
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Population-Based Placental Weight Ratio Distributions by Erin M. Macdonald, John J. Koval, Renato Natale, Timothy Regnault, M. Karen Campbell

“…All women who delivered a live singleton infant between 22 and 42 weeks of gestation were included (n=41441). Nonparametric quantile regression was used to fit the curves. The results demonstrate decreasing PWR and dispersion, with increasing gestational age. …”
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Natural resources heterogeneity and environmental sustainability in G20 nations: post-COP28 analysis by Abdulrahman Alomair, Ridwan Lanre Ibrahim, Ridwan Lanre Ibrahim, Abdulaziz S. Al Naim

“…The empirical verification anchors on second-generation estimators entailing cross-sectional autoregressive distributed lag (CS-ARDL), common correlated effects mean group autoregressive mean group (AMG), and method of moment quantile regression The fallouts from the analyses reveal that the production and consumption of natural resources based on coal and oil hinder environmental sustainability, although the former has greater effects than the latter. …”
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Navigating the energy transition: Interplay of geopolitics, economic complexity, and environmental governance in OECD countries by Linhui Wu, Saddam Hussain

“…In this analysis, the new Mixed Multi-Quantile Regression (MMQR) model is used to mitigate slope heterogeneity and cross-sectional dependence because it accommodates heterogeneity in distinct phases of the energy transition. …”
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Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments by Shihan Wang, Ying Ni, Jianqiang Li

“…A naturalistic field experiment was conducted to collect the potential lateral and longitudinal interference frequency and the environmental parameters of road segments. The quantile regression model was applied to analyze the environmental factors influencing different interference frequencies separately and further establish the assessing model of the potential bicycle interference complexity, and the usability of the model has been demonstrated with a case study. …”
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Potential of environmental, social, and governance investment as a hedge in Indonesia during COVID-19 pandemic by Robiyanto Robiyanto, Frieska Dwi Agustina, Intiyas Utami, Budi Frensidy, Andrian Dolfriandra Huruta

“…Using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) and Quantile Regression (QREG) techniques, the study found that ESG investments cannot act as hedge or safe haven in IDX. …”
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Impact of Financial Market uncertainty and Financial Crises on Dynamic Stock—Foreign Exchange Market Correlations: A New Perspective by Farid Irani, Abobaker Al.Al. Hadood, Korhan K. Gökmenoğlu, Seyed Alireza Athari

“…This study explores how uncertainties in domestic financial markets, including stocks, bonds, and exchange rates, as well as global crises like the subprime mortgage and European sovereign debt crises, affect the dynamic correlation between the Australian stock market index (ASX 300) and foreign exchange rates. Using quantile regression estimation and analyzing high-frequency data from 1999 to 2021, we uncover distinct relationships influenced by currency-specific uncertainties. …”
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Corneal Nerve Parameter Reference Values for Chinese Adults Assessed by Corneal Confocal Microscopy by Juan Cao, Jingru Qu, Bekzod Odilov, Bin Lu, Yuanpin Zhang, Lili Li, Yuan Zhang, Qian Xiong, Yu Hong, Jianqiao Li, Yunfeng Shen, Xinguo Hou

“…The correlation between clinical indicators and confocal corneal microscopy measures was determined using partial correlation. Quantile regression was used to calculate reference values and estimate the effects of clinical factors on the normative values of confocal corneal microscopy measures. …”
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Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling by Usman Shahzad, Ishfaq Ahmad, Nadia H. Al-Noor, Soofia Iftikhar, A. H. Abd Ellah, Troon J. Benedict

“…In the current study, regarding population mean, we proposed a robust class of separate type quantile regression estimators under stratified random sampling design. …”
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Examining the drivers of ecological footprint components: Is pursuing food security environmentally costly for Nigeria? by Hephzibah Onyeje Obekpa, Andrew Adewale Alola, Adejo Moses Adejo, Chukwuemeka Echebiri

“…Motivated by this observation, this study attempts to examine whether the pursuit of food security agenda amidst population increase, and economic growth exhibits a significant impact on the country’s aggregate ecological footprint and footprints of built-up land, carbon, cropland, fishing grounds, forest products, and grazing land especially over the period 1981–2020. While the quantile regression method provides robustness to the main Kernel-based regularized least square approach, the Kernel-based regularized least square approach found that food production activities and geometric increase in food production, i.e., the square of food production, both increase the aggregate ecological footprint and footprints of built-up land, cropland, forest products. …”
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Does Health System Responsiveness Differ between Insured and Uninsured Outpatients in Primary Health Care Facilities in Asagirt District, Ethiopia? A Cross-Sectional Study by Wubshet Debebe Negash, Asmamaw Atnafu, Desale Bihonegn Asmamaw, Chalie Tadie Tsehay

“…Responsiveness was measured using the short version of the World Health Organization’s multicountry responsiveness survey, which has seven dimensions including autonomy, communication, confidentiality, attention, dignity, choice, and amenities. Using quantile regression, a specific association between health insurance and the health system responsiveness index was examined, adjusting for sociodemographic, quality, and satisfaction-related factors. …”
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Prepartum Vaccination Against Neonatal Calf Diarrhea and Its Effect on Mammary Health and Milk Yield of Dairy Cows: A Retrospective Study Addressing Non-Specific Effects of Vaccina... by Caroline Kuhn, Holm Zerbe, Hans-Joachim Schuberth, Anke Römer, Debby Kraatz-van Egmond, Claudia Wesenauer, Martina Resch, Alexander Stoll, Yury Zablotski

“…In this retrospective study, data from 73,378 dairy cows on 20 farms in Germany were analyzed, using linear mixed-effects regression, quantile regression, and decision-tree-algorithms, to investigate the effects of prepartum vaccination on mammary health and milk yield by comparing non-vaccinated and vaccinated transition periods. …”
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WHY DO VIETNAMESE FIRMS HOLD CASH? by Nguyễn Thanh Hồng Ân, Hoàng Mai Phương

“…In addition, the cash holding ratios of firms in all four size quantiles have shrunk since 2016, especially for firms in the smallest size quantile. Regression results show that Vietnamese firms tend to hoard cash when business conditions improve, when they have low growth opportunities, or when business risks increase. …”
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Quantile-Dependent Expressivity of Serum Uric Acid Concentrations by Paul T. Williams

“…Quantile-specific heritability from offspring-parent regression slopes (βOP,h2=2βOP/1+rspouse) and full-sib regression slopes (βFS,h2=1+8rspouseβFS0.5−1/2rspouse) was robustly estimated by quantile regression with nonparametric significance assigned from 1000 bootstrap samples. …”
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Displacement Prediction of a Complex Landslide in the Three Gorges Reservoir Area (China) Using a Hybrid Computational Intelligence Approach by Junwei Ma, Xiaoxu Niu, Huiming Tang, Yankun Wang, Tao Wen, Junrong Zhang

“…The hybrid computational intelligence approach consists of two steps: first, the input variables are selected through copula analysis; second, kernel-based support vector machine quantile regression (KSVMQR) is employed to perform density prediction. …”
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Osteoporosis Awareness, Self-Efficacy and Health Beliefs Among Staff in an Obstetrics and Gynecology Hospital: A Cross-Sectional Study by Zhou Y, Xu Z, Zhang Z, Su J

“…Yun Zhou,1,&ast; Zheyun Xu,2,&ast; Zhifen Zhang,3 Jun Su4,5 1Outpatient Department, Hangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, People’s Republic of China; 2The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, People’s Republic of China; 3Department of Obstetrics and Gynecology, Hangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, People’s Republic of China; 4School of Public Health, Hangzhou Normal University, Hangzhou, 311121, People’s Republic of China; 5Intensive Care Medicine Department, Hangzhou Women`s Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, 310008, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jun Su, Email junjunsu@163.comBackground: We investigated the key factors that influence the awareness, health beliefs, and self-efficacy of osteoporosis among the staff of an obstetrics and gynecology hospital to identify the key target population for carrying out education and promotion in medical institutions, hoping to improve women’s awareness and prevention and treatment consciousness of osteoporosis from the source.Methods: A cross-sectional study was conducted from October 15 to October 24 in 2023, and 200 staff members were randomly sampled from an obstetrics and gynecology hospital in Hangzhou city for a questionnaire survey. We used a quantile regression model to analyze the key factors influencing the scores of each item.Results: The study results showed that undergraduate degree or above, working as a doctor, work experience of < 5 years or 10– 20 years and high professional technical title are related to a higher level of osteoporosis knowledge. …”
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