Results 101 to 110 of about 30,567 (245)
Identifying important gene signatures of BMI using network structure‐aided nonparametric quantile regression [PDF]
, 2023 Peitao Wu, Josée Dupuis, Ching‐Ti Liu
openalex +1 more source
Heterogeneity in Manufacturing Growth Risk
Journal of Money, Credit and Banking, EarlyView.Abstract We analyze differences in output growth risk with respect to financial conditions across U.S. manufacturing industries. Using a multilevel quantile regression approach, we find that industries exhibit heterogeneous increases of downside risk in times of tight financial conditions, while upside potential remains stable.
DAAN OPSCHOOR +2 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
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Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Innovation and Green DevelopmentAs environmental threats intensify, policies that reduce carbon (CO2) emissions become essential for attaining a sustainable environment. This study examines the asymmetric effect of household and commercial energy efficiency on energy-related carbon ...
Ojonugwa Usman +3 more
doaj +1 more source
Regression for partially observed variables and nonparametric quantiles of conditional probabilities
, 2007 Submitted to the Statistics Surveys (http://www.i-journals.org/ss/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openaire +2 more sources
Do robots boost productivity? A quantitative meta‐study
Journal of Economic Surveys, EarlyView.ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley +1 more source
გლობალიზაცია და ბიზნესიThis research attempts to investigate how uncertainty in fiscal policy (FPU) and monetary policy (MPU) affects the US energy transition. While previous literature took the total renewable energy consumption (REC) as an indicator for the energy transition,
Mohammed Amine Mouffok +3 more
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Journal of Economic Surveys, EarlyView.ABSTRACT There is an increased proportion of studies using quantile‐based regression methodology (QR) in economics. They offer a robust alternative to classical mean regressions, which can estimate non‐normal variables with distributional heterogeneity in the dependent variable.
Shajara Ul‐Durar +4 more
wiley +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 +2 more
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