Results 91 to 100 of about 7,257 (284)

Sustainable Cities Under Pressure: Climate Risk, Oil Price Uncertainty, and Technological Innovation in GCC Countries

Sustainable Development, EarlyView.
ABSTRACT This study examines the dynamic interactions between climate risk, oil price uncertainty (OPU), and technological innovation in shaping Sustainable Development Goals (SDGs) related to Sustainable Cities and Communities (SCC) across Gulf Cooperation Council (GCC) countries from 2005 to 2024. Using a panel Time‐Varying Interactive Fixed Effects (
Mohamed Sami Ben Ali, Alanoud Al‐Maadid, Kamal Si Mohammed   +2 more
wiley   +1 more source

Nonparametric Quantile Regression with Heavy-Tailed and Strongly Dependent Errors [PDF]

We consider nonparametric estimation of the conditional qth quantile for stationary time series. We deal with stationary time series with strong time dependence and heavy tails under the setting of random design.
Toshio Honda
core  

Asymptotic Theory for Multivariate Nonparametric Quantile Regression with Stationary Ergodic Functional Covariates and Missing-at-Random Responses

Symmetry
Quantiles are among the most fundamental constructs in probability theory and statistics, intrinsically linked to order structures, stochastic dominance, and the principles of robust statistical inference.
Hadjer Belhas, Mustapha Mohammedi, Salim Bouzebda   +2 more
semanticscholar   +1 more source

Towards a Sustainable Future: The Role of Technological Innovation and Digitalization in European Union Climate Change Mitigation

Sustainable Development, EarlyView.
ABSTRACT Technological innovation and digitalization are widely viewed as key drivers of sustainable development, yet their effectiveness in reducing carbon emissions remains uncertain. This study examines how technological innovation, digitalization, energy structure, and economic activity shape both CO2 emissions and total factor productivity in 22 ...
Muhammad Waqas Khalid, Fatima Lambarraa‐Lehnhardt, Lea Nicita   +2 more
wiley   +1 more source

A single-index quantile regression model and its estimation [PDF]

, 2012
Models with single-index structures are among the many existing popular semiparametric approaches for either the conditional mean or the conditional variance. This paper focuses on a single-index model for the conditional quantile. We propose an adaptive
Xia, Y., Kong, Efang, Kong, E., Xia, Yingcun   +3 more
core   +1 more source

SOME PROPERTIES OF SPATIAL QUANTILES

Acta Universitatis Lodziensis. Folia Oeconomica, 2014
Conditional quantiles are required in various economic, biomedical or industrial problems. Lack of objective basis for ordering multivariate observations is a major problem in extending the notion of quantiles or conditional quantiles (also called ...
Grażyna Trzpiot
doaj  

Energy Dependence, Energy Import Diversification, and Institutional Quality: Heterogeneous Impacts on Sustainable Economic Development in the European Union

Sustainable Development, EarlyView.
ABSTRACT Energy dependence poses significant risks for economic development, particularly in regions that rely heavily on imported fossil fuels. This paper examines how energy dependence and energy import diversification influence economic development across 27 European Union countries between 2000 and 2022. Using IV‐GMM and panel quantile regressions,
Mehmet Pinar
wiley   +1 more source

Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model

IEEE Access, 2020
With the rapid growth of photovoltaic (PV) power in recent years, the stability of system operation, the performance of system contingency analysis as well as the power quality of the power grid are threatened by the inherent uncertainty and fluctuation ...
Fei Mei, Jiaqi Gu, Jixiang Lu, Jinjun Lu, Jiatang Zhang, Yuhan Jiang, Tian Shi, Jianyong Zheng   +7 more
doaj   +1 more source

Impact of Technological Innovation, Environmental Policy, and Policy Inclusion on Renewable Energy Adoption in Sub‐Sahara Africa

Thunderbird International Business Review, EarlyView.
ABSTRACT This study investigates the factors influencing renewable energy consumption and renewable electricity in Sub‐Sahara Africa (SSA) using the Lewbel 2SLS approach, panel quantile regression and Driscoll and Kraay estimator. It focuses on a panel dataset covering 41 countries from 1998 to 2020.
Emmanuel K. Manu, Simplice A. Asongu
wiley   +1 more source

Predicting extreme VaR: Nonparametric quantile regression with refinements from extreme value theory [PDF]

This paper studies the performance of nonparametric quantile regression as a tool to predict Value at Risk (VaR). The approach is flexible as it requires no assumptions on the form of return distributions.
Julia Schaumburg
core