Results 151 to 160 of about 3,032,172 (354)
The great divide in scientific productivity. Why the average scientist does not exist. [PDF]
We use a quantile regression approach to estimate the e¤ects of age, gender, research funding, teaching load and other observed characteristics of academic researchers on the full distribution of research performance, both in its quantity (publications ...
Kelchtermans, Stijn +1 more
core
Quantile regression on inactivity time [PDF]
Lauren C. Balmert +3 more
openalex +1 more source
ABSTRACT The necessary environmental transition involves a substantial challenge for micro, small, and medium‐sized enterprises (MSMEs). Moreover, in the Ibero‐American context, it is even more challenging. Our study aims to shed light on the scarce and inconclusive evidence in this regard, analyzing the influence of digitalization, given its inclusion
José Antonio Clemente‐Almendros +2 more
wiley +1 more source
Quantile Regression Under Random Censoring [PDF]
No abstract.
Bo Honore, James L. Powell, Shakeeb Khan
core
ABSTRACT Despite the growing interest in ESG performance, limited research explores the mediating role of government policy in the relationship between Fintech, green finance and ESG outcomes. We address this gap by examining how Fintech and green finance influence ESG performance through government policies.
Mandella Osei‐Assibey Bonsu +4 more
wiley +1 more source
Comparison of Several Methods of Chromatographic Baseline Removal with a New Approach Based on Quantile Regression [PDF]
Łukasz Komsta
openalex +1 more source
Nudging ESG Investments via Digital Financial Advising: Evidence From an Investment Game Experiment
ABSTRACT The influence of financial advisors on retail investors' sustainable investment choices remains surprisingly underexplored, despite their potential to shape investment behavior. This study uses an experimental design to examine how sustainability‐related information provided by a digital (simulated) financial advisor affects individual demand ...
Caterina Lucarelli +2 more
wiley +1 more source
A note on the use of quantile regression in beta convergence analysis [PDF]
We discuss how to interpret conflicting results obtained by the use of quantile regression methods in growth regression tests of β-convergence hypothesis and the results obtained by nonparametric methods.
Marcio Laurini
core
Rank‐based estimation of propensity score weights via subclassification
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
wiley +1 more source

