The relationship between fiscal federalism and fiscal discipline: panel quantile regression approach by Kayode Olaide, Josine Uwilingiye, Beatrice D. Simo-Kengne

“…But, despite the lack of unanimity in the theoretical discourse on the fiscal discipline impact of fiscal federalism, empirical studies on the relationship are still scarce and mixed in conclusions. Using a panel quantile regression estimation approach for a sample of twenty countries over the period 1996–2018, this study establishes that the impact of fiscal federalism on fiscal discipline may not be constant on the conditional mean of the fiscal discipline but varies along its conditional distribution. …”
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Explaining Obesity- and Smoking-related Healthcare Costs through Unconditional Quantile Regression by Bijan Borah, James Naessens, Kerry Olsen, Nilay Shah

“…**Objectives:** Unlike previous studies, this study evaluates the distributional effects of obesity and smoking on healthcare cost distribution using a recently developed econometric framework: the unconditional quantile regression (UQR). **Methods:** Results were compared with the traditional conditional quantile regression (CQR), and the generalized linear modeling (GLM) framework that is commonly used for modeling healthcare cost. …”
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A specific role of village doctors in reducing disparities: a quantile regression analysis of end-of-life medical care by Yuan Fang, Shih-Ting Huang, Chengrui Xiao

“…Methods The analysis is based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which has national representativeness and contains information about the oldest old at an average age of 80 in China, with available information from 2002 to 2019. We adopt the quantile regression to illustrate the heterogeneous impacts of village doctors on the EOL medical care spending from the distribution perspective. …”
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Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topsoil data by Calogero Schillaci, Simone Scarpa, Felipe Yunta, Aldo Lipani, Fernando Visconti, Gábor Szatmári, Kitti Balog, Triven Koganti, Mogens Greve, Giulia Bondi, Georgios Kargas, Paraskevi Londra, Fuat Kaya, Giuseppe Lo Papa, Panos Panagos, Luca Montanarella, Arwyn Jones

“…In this work, using the LUCAS 2018 dataset, we provide an empirically-derivedpedotransfer function to convert diluted EC1:5 to saturated ECe using the LUCAS soil texture and soil organic carbon, and a framework for ECe mapping with a machine-learning algorithm named Quantile Regression Forest. The final model resulted in an R2 of 0.302 with an RMSE of 0.265 dS m−1 for soil samples not used for model calibration. …”
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Spatio-temporal modelling of extreme low birth rates in U.S. counties by Kai Wang, Yingqing Zhang, Long Bai, Ying Chen, Chengxiu Ling

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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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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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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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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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Evaluation of the impact of PEPFAR transition on retention in care in South Africa’s Western Cape Province by J Chiliza, R Laing, F G Feeley, A T Brennan

“…We used adjusted quantile regression to estimate the effect of the PEPFAR pull-out on RIC. …”
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Adipocyte heterogeneity and tumor infiltration of adipose tissue in patients with metastatic breast cancer by Hava Izci, Gitte Zels, Anirudh Pabba, Marion Maetens, François Richard, Maxim De Schepper, Josephine Van Cauwenberge, Ha-Linh Nguyen, Kristien Borremans, Sophia Leduc, Karen Van Baelen, Sigrid Hatse, Tatjana Geukens, Amena Mahdami, Hans Wildiers, Patrick Neven, Wouter Van Den Bogaert, Giuseppe Floris, Christine Desmedt

“…Distant adipocyte size was quantified using digital pathology, and tumor infiltration was assessed histologically. Linear mixed quantile regression analyzed the associations between adipocyte size, fat depot type and major histological subtypes. …”
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Pre-injury frailty and clinical care trajectory of older adults with trauma injuries: A retrospective cohort analysis of A large level I US trauma center. by Oluwaseun Adeyemi, Corita Grudzen, Charles DiMaggio, Ian Wittman, Ana Velez-Rosborough, Mauricio Arcila-Mesa, Allison Cuthel, Helen Poracky, Polina Meyman, Joshua Chodosh

“…We performed multivariable logistic and quantile regressions to measure the influence of frailty on post-trauma care trajectories.…”
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