Results 91 to 100 of about 1,779,916 (322)
RESPON KEBIJAKAN MONETER YANG OPTIMAL DI INDONESIA: The State-Contingent Rule?
By developing a long-run macro structural model, The Structural Cointegrating Vector Autoregression (VAR), the optimality principle of monetary policy response in Indonesia is formulated.
Solikin M. Juhro
doaj +1 more source
This study examined how emotional symptoms co‐develop from childhood to adolescence using longitudinal data from over 11,000 children and adolescents. Network analyses revealed reciprocal links between core symptoms of anxiety and depression, with no significant differences between males and females.
Eira R. Aksnes +11 more
wiley +1 more source
Abstract Background Understanding symptom patterns of emerging psychopathology is essential for early detection and intervention. Network analysis offers a promising approach by conceptualizing emerging psychopathology as dynamic interactions between symptoms over time.
Xenia A. Häfeli +3 more
wiley +1 more source
ABSTRACT The transition toward circular and sustainable growth remains a major challenge in Sub‐Saharan Africa (SSA), where resource constraints, limited recycling capacity, and infrastructure deficits constrain environmental performance. Drawing on circular economy and innovation systems perspectives, this study examines how financial technology ...
Emmanuel Kwaku Manu +3 more
wiley +1 more source
Vector Autoregressions, Policy Analysis, and Directed Acyclic Graphs: An Application to the U.S. Economy [PDF]
The paper considers the use of directed acyclic graphs (DAGs), and their construction from observational data with PC-algorithm TETRAD II, in providing over-identifying restrictions on the innovations from a vector autoregression. Results from Sims’ 1986
David A. Bessler, Titus O. Awokuse
core
Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou +4 more
wiley +1 more source
General-to-Specific Model Selection Procedures for Structural Vector Autoregressions [PDF]
Structural vector autoregressive (SVAR) models have emerged as a dominant research strategy in empirical macroeconomics, but suffer from the large number of parameters employed and the resulting estimation uncertainty associated with their impulse ...
Hans-Martin Krolzig
core
Vector autoregressive analysis [PDF]
An introduction to vector autoregressive (VAR) analysis is given with special emphasis on cointegration. The models, estimating their parameters and specifying the autoregressive order, the cointegrating rank and other restrictions are discussed. Possibilities for model validation are also considered, Causality tests, impulse responses and forecast ...
openaire +2 more sources
Order determination in general vector autoregressions [PDF]
Published at http://dx.doi.org/10.1214/074921706000000978 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
openaire +5 more sources
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source

