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Revisiting tourist arrivals, CO2 emissions and pandemic crisis links using the Quantile-on-Quantile (QQ) approach
In the face of the urgent climate crisis compounded by the rapid expansion of the global tourism industry, this study employs the...
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The asymmetric relationship between public–private partnerships investment in energy and environmental degradation for sustainable development: new evidence from quantile-on-quantile regression approach
According to the United Nations Agenda, the 2023 sustainable environment is necessary to secure this planet’s future; public–private partnerships...
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Nexus between macroeconomic uncertainty, oil prices, and exports: evidence from quantile-on-quantile regression approach
International trade is key to boosting the economic growth and development of an economy. Hence, it becomes critical to analyze its determinants. The...
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Investigating the nexus between carbonization and industrialization under Kaya’s identity: findings from novel multivariate quantile on quantile regression approach
Develo** nations aim to industrialize and grow sustainably often ignoring the environmental consequences. However, few empirical studies have...
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A Quantile Regression Approach to the Heterogeneity in Price Elasticity of Domestic Water Demand
This paper examines the problem of unobserved heterogeneity in urban water demand. It uses a panel quantile regression (QR) approach to focus on...
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Estimating Income Distributions From Grouped Data: A Minimum Quantile Distance Approach
This paper focuses on the estimation of income distribution from grouped data in the form of quantiles. We propose a novel application of the minimum...
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Testing heterogeneity in quantile regression: a multigroup approach
The paper aims to introduce a multigroup approach to assess group effects in quantile regression. The procedure estimates the same regression model...
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Determination of household electricity expenditures using quantile regression with Kennedy approach
The electrical energy expenditure of households in Turkey has been increasing over the years, and households account for one-fifth of the overall...
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Concave-convex effect of financial resilience on corporate financial performance: quantile regression approach
This study not only aims to elucidate the curvilinear nexus between financial resilience (FR) and corporate financial performance (CFP) by drawing on...
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Hedge Ratio Variation Under Different Energy Market Conditions: New Evidence by Using Quantile–Quantile Approach
In this research, we investigated the long-run and causal relationships between spot and futures prices of crude oil, natural gas, and gasoline using... -
Quantile-based dynamic modeling of asymmetric data: a novel Burr XII approach for positive continuous random variables
The present work introduces a new model class for continuous random variables that have support in the positive real line. This model is designed to...
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Impact of transportation infrastructure and urbanization on environmental pollution: evidence from novel wavelet quantile correlation approach
In terms of achieving sustainable development goals (SDGs), the develo** economies are facing many issues, and one of the key issues is...
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Race, gender and beauty in instructional ratings: a quantile regression approach
The objective of this paper is to apply quantile regression (QR) to analyze the effect of ascriptive characteristics such as beauty, gender and race...
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A Bayesian variable selection approach to longitudinal quantile regression
The literature on variable selection for mean regression is quite rich, both in the classical as well as in the Bayesian setting. However, if the...
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Measuring heterogeneity in hospital productivity: a quantile regression approach
This paper focuses on acute-care local public hospitals in Japan and evaluates differences in hospital technology, as reflected in the productivity...
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Sustainable Water Demand Management and Incentive Tariff: Evidence From a Quantile-on-Quantile Approach
This paper proposes an original assessment of sustainable water demand management policy in Tunisia over the last five decades. Using quarterly data...
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Jackknife Model Averaging for Composite Quantile Regression
In this paper, the authors propose a frequentist model averaging method for composite quantile regression with diverging number of parameters....
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Quantile Regression
The problem with OLS is demonstrated via Engel’s problem. Concept and definitions of quantiles as well as their connection with other statistical... -
Kernel Quantile Estimation
From kernel distribution function, quantile estimators can be defined naturally. Using the kernel estimator of the p-th quantile of a distribution... -
Spillover effects of disaggregated macroeconomic uncertainties on U.S. real activity: evidence from the quantile vector autoregressive connectedness approach
This paper employs a quantile vector autoregressive approach to compare the extent of connectedness between macroeconomic uncertainty and U.S. real...