M Buchinsky - Journal of human resources, 1998 - JSTOR
This paper provides a guideline for the practical use of the semi-parametric technique of quantile regression, concentrating on cross-section applications. It summarizes the most …
AK Singh, SA Raza, J Nakonieczny… - Structural Change and …, 2023 - Elsevier
In recent years, the importance of identifying the determinants of environmental performance has acknowledged huge importance from the academicians. This study expands the horizon …
LC Voumik, MA Islam, S Ray, NY Mohamed Yusop… - Energies, 2023 - mdpi.com
The threat of global warming has increased due to industrialization, urbanization, population expansion, and changes in lifestyle among the Group of Seven (G7) Carbon dioxide …
JAF Machado, JMCS Silva - Journal of econometrics, 2019 - Elsevier
We study the conditions under which it is possible to estimate regression quantiles by estimating conditional means. The advantage of this approach is that it allows the use of …
Attaining sustainable development and cleaner production is a major challenge both for developed and developing economies; income, institutional regulations, institutional quality …
The existing literature lacks empirical nexus of natural resources tax (TNRT) volatility and economic performance. Also, the digital economy is currently a hot issue among researchers …
This paper proposes two new methods (the Quantile Group LASSO and the Quantile Group SCAD models) to evaluate the predictability of a large group of factors on carbon futures …
MJ Conyon, L He - Journal of Business Research, 2017 - Elsevier
We investigate the relation between firm performance and boardroom gender diversity using quantile regression methods. Using annual data on over 3000 US firms from 2007 to 2014 …
Quantile regression constitutes a family of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression as introduced in …