Results 81 to 90 of about 30,733 (250)

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

Variable data driven bandwidth choice in nonparametric quantile regression [PDF]

The choice of a smoothing parameter or bandwidth is crucial when applying non- parametric regression estimators. In nonparametric mean regression various meth- ods for bandwidth selection exists.
Klaus Abberger
core  

Quantile regression with varying coefficients

, 2007
Quantile regression provides a framework for modeling statistical quantities of interest other than the conditional mean. The regression methodology is well developed for linear models, but less so for nonparametric models.
Kim, Mi-Ok
core   +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

Multivariate Uncertainty Quantification with Tomographic Quantile Forests

Mathematical and Computational Applications
Quantifying predictive uncertainty is essential for safe and trustworthy real-world AI deployment. However, the fully nonparametric estimation of conditional distributions remains challenging for multivariate targets.
Takuya Kanazawa
doaj   +1 more source

Unconditional Quantile Regressions [PDF]

We propose a new regression method to estimate the impact of explanatory variables on quantiles of the unconditional distribution of an outcome variable. The proposed method consists of running a regression of the (recentered) influence function (RIF) of
Nicole M. Fortin, SErgio Firpo, Thomas Lemieux   +2 more
core  

Investigating the EKC and LCC Hypotheses for BRICS Countries: The Role of Economic Complexity in Environmental Degradation

Natural Resources Forum, EarlyView.
ABSTRACT The number of studies in literature examining the relationship between economic complexity and environment continues to increase. In those studies, either environmental degradation is represented by a limited indicator, or a traditional empirical method is preferred.
Tunahan Haciimamoglu
wiley   +1 more source

Does Investor Attention Matter for Carbon Market? New Insights From a Multi-Scale Quantile Causality Analysis

IEEE Access
This paper firstly puts forward to explore the multi-scale, nonlinear quantile interactions between investor attention and the carbon market from January 2009 to December 2022.
Yaqi Wu, Po Yun, Mingjuan Ma, Xianzi Yang, Danli Wang   +4 more
doaj   +1 more source

Estimating Causal Effects With Observational Data: Guidelines for Agricultural and Applied Economists

Journal of Agricultural Economics, EarlyView.
ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen, Guy Low, David Wuepper, Tobias Dalhaus, Hugo Storm, Dagim Belay, Stefan Hirsch   +6 more
wiley   +1 more source

Estimation of Nonparametric Conditional Moment Models With Possibly Nonsmooth Generalized Residuals [PDF]

This paper studies nonparametric estimation of conditional moment models in which the generalized residual functions can be nonsmooth in the unknown functions of endogenous variables. This is a nonparametric nonlinear instrumental variables (IV) problem.
Demian Pouzo, Xiaohong Chen
core