Results 31 to 40 of about 3,391,346 (320)

COMMON STOCHASTIC TRENDS AND AGGREGATION IN HETEROGENEOUS PANELS [PDF]

open access: yesEconometric Theory, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lazarová, Štěpána   +2 more
openaire   +4 more sources

Exploring the Dynamic Nexus Among Economic Growth, Industrialization, Medical Technology, and Healthcare Expenditure: A PMG-ARDL Panel Data Analysis on Income-Level Classification Along West African Economies

open access: yesFrontiers in Public Health, 2022
This article explored the dynamic nexus among economic growth, industrialization, medical technology, and healthcare expenditure in West Africa while using urbanization and aged population as control variables.
Evelyn Agba Tackie   +3 more
doaj   +1 more source

Male pseudohermaphroditism: A case study of 46,XY disorder of sexual development using whole‐exome sequencing

open access: yesClinical Case Reports, 2020
The study shows that whole‐exome sequencing is a promising approach to detect novel variants—and gene candidates in DSD, that, as a future direction, may improve the diagnostic gene panels for this heterogeneous disorder.
Oxana Yu. Naumova   +9 more
doaj   +1 more source

Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure

open access: yesSocial Science Research Network, 2006
This paper presents a new approach to estimation and inference in panel data models with a general multifactor error structure. The unobserved factors and the individual-specific errors are allowed to follow arbitrary stationary processes, and the number
M. Pesaran
semanticscholar   +1 more source

Modeling the output power of heterogeneous photovoltaic panels based on artificial neural networks using low cost microcontrollers

open access: yesHeliyon, 2018
Many implementations of artificial neural networks have been reported in scientific papers. However, few of these implementations allow the direct use of off-line trained networks.
Sufyan Samara, Emad Natsheh
doaj   +1 more source

Discovering and Summarizing Relationships Between Chemicals, Genes, Proteins, and Diseases in PubChem

open access: yesFrontiers in Research Metrics and Analytics, 2021
The literature knowledge panels developed and implemented in PubChem are described. These help to uncover and summarize important relationships between chemicals, genes, proteins, and diseases by analyzing co-occurrences of terms in biomedical literature
Leonid Zaslavsky   +8 more
doaj   +1 more source

Forecasting using heterogeneous panels with cross-sectional dependence

open access: yesInternational Journal of Forecasting, 2020
In this paper, we focus on forecasting methods that use heterogeneous panels in the presence of cross-sectional dependence in terms of both spatial error dependence and common factors.
Oguzhan Akgun, A. Pirotte, G. Urga
semanticscholar   +1 more source

Import demand in heterogeneous panel setting [PDF]

open access: yesApplied Economics, 2005
To study the elasticities of import demand function, a heterogeneous panel is built with data of 40 countries and using panel unit root tests (Im et al., 1997) and panel cointegration tests (Pedroni, 2004). The model is tested with two previously used activity variables: GDP and GDP minus Export for a performance comparison.
openaire   +1 more source

Kernel Estimation for Panel Data with Heterogeneous Dynamics [PDF]

open access: yesSSRN Electronic Journal, 2018
Summary This paper proposes nonparametric kernel-smoothing estimation for panel data to examine the degree of heterogeneity across cross-sectional units. We first estimate the sample mean, autocovariances, and autocorrelations for each unit and then apply kernel smoothing to compute their density functions.
Okui, Ryo, Yanagi, Takahide
openaire   +2 more sources

Grouped Heterogeneity in Linear Panel Data Models with Heterogeneous Error Variances

open access: yesJournal of Business & Economic Statistics, 2022
We develop a procedure to identify latent group structures in linear panel data models that exploits a grouping in the error variances of cross-sectional units. To accommodate such grouping, we introduce an objective function that avoids a singularity that arises in a pseudolikelihood approach. We provide theoretical and numerical evidence showing when
Aguilar Loyo, Jhordano, Boot, Tom
openaire   +1 more source

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