Results 251 to 260 of about 453,320 (299)
Some of the next articles are maybe not open access.

The Influence of the Year of the Dragon on Fertility of Chinese Malaysians: Cointegration and Variance Decomposition Analysis

SSRN Electronic Journal, 2012
Despite the downward trend in fertility amongst the Chinese Malaysians, temporary fertility increases are noted in the Dragon years of 1976, 1988 and 2000. The paper therefore examines whether fertility is significantly influenced by zodiacal preferences, mainly the Year of the Dragon, for the Chinese Malaysians, a non-majority group within a ...
Thirunaukarasu Subramaniam   +2 more
openaire   +2 more sources

THE EFFECTS OF DISAGGREGATED SAVINGS ON ECONOMIC GROWTH IN MALAYSIA - GENERALISED VARIANCE DECOMPOSITION ANALYSIS [PDF]

open access: yes, 2009
This study examines how much of the variance in economic growth can be explained by various categories of domestic and foreign savings in Malaysia. The bounds testing approach to cointegration and the generalised forecast error variance decomposition technique was used to achieve the objective of this study.
Chor Foon Tang, Hooi Hooi Lean
openaire   +2 more sources

Emission and sectoral energy intensity: a variance decomposition analysis

Management of environmental quality, 2022
PurposeIn the backdrop of growing global concern on escalating CO2 emission leading to climate disorder and controversy between economic growth and environment, this study undertakes a decomposition analysis of the top 20 emitters of the world during ...
U. Mukhopadhyay, R. Pani
semanticscholar   +1 more source

Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis

, 2020
This paper proposes a quantile variance decomposition framework for measuring extreme risk spillover effects across international stock markets. The framework extends the spillover index approach suggested by Diebold and Yilmaz (2009) using a quantile ...
Xianfang Su
semanticscholar   +1 more source

Variance Decomposition Analysis for Nonlinear Economic Models1

, 2020
In this paper, we propose a new method called the total variance method and algorithms to compute and analyse variance decomposition for nonlinear economic models. We provide theoretical and empirical examples to compare our method with the only existing
Maksim Isakin, Phuong V. Ngo
semanticscholar   +1 more source

How Much Does Business Model Matter for Firm Performance? A Variance Decomposition Analysis

, 2020
Although an emerging literature has described the phenomenon of business model, little is known about how much business model matters in explaining heterogeneity in business performance.
Timo Sohl, G. Vroom, Markus Fitza
semanticscholar   +1 more source

A variance decomposition approach to the analysis of genetic algorithms

Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013
Prediction of the evolutionary process is a long standing problem both in the theory of evolutionary biology and evolutionary computation (EC). It has long been realized that heritable variation is crucial to both the response to selection and the success of genetic algorithms.
Paixão, Tiago; Barton, Nicholas H
openaire   +1 more source

Identifying the sources of seasonal predictability based on climate memory analysis and variance decomposition

Climate Dynamics, 2020
It is well recognized that climate predictability has three origins: (i) climate memory (inertia of the climate system) that accumulated from the historical conditions, (ii) responses to external forcings, and (iii) dynamical interactions of multiple processes in the climate system.
Da Nian   +6 more
openaire   +1 more source

Application of variance decomposition approach in the uncertainty analysis of a hydrological model

Canadian Journal of Civil Engineering, 2013
Decomposition of uncertainty into individual sources is important for understanding the risks of decisions made under the modelling uncertainty. This paper has applied the predictive uncertainty analysis and variance decomposition (VD) approach for quantifying hydrological modelling uncertainty. The VD analysis is used for quantifying the contribution
Arpana Rani Datta, Tirupati Bolisetti
openaire   +1 more source

The Sensitivity Analysis of the Core Lower Head Molten Pool Model Based on Variance Decomposition

Journal of Nuclear Engineering and Radiation Science, 2020
Abstract The lower head molten pool model is an important model for the in-vessel retention (IVR) effectiveness evaluation. It has the characteristics of complex relationship, many input parameters, and large uncertainty. The traditional local sensitivity analysis method has the disadvantages of large amount of calculation and low ...
ZhiGang Li   +5 more
openaire   +1 more source

Home - About - Disclaimer - Privacy