Results 31 to 40 of about 3,391,346 (320)
COMMON STOCHASTIC TRENDS AND AGGREGATION IN HETEROGENEOUS PANELS [PDF]
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Lazarová, Štěpána +2 more
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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
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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
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Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure
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
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
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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
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Forecasting using heterogeneous panels with cross-sectional dependence
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]
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.
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Kernel Estimation for Panel Data with Heterogeneous Dynamics [PDF]
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
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Grouped Heterogeneity in Linear Panel Data Models with Heterogeneous Error Variances
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
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