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Determinants of Per Capita Personal Income in the US: Spatial Fixed Effects Panel Data Modeling 美国人均个人收入的决定因素:空间固定效应面板数据模型
Pub Date : 2020-06-23 DOI: 10.24321/2455.7021.202001
M. Abonazel
Over the last decades, the Per Capita Personal Income (PCPI) variable wasa commonmeasure of the effectiveness of economic development policy. Therefore, this paper is an attempt to investigate the determinants of personal income by usingspatial panel data models for 48 U.S. states during the period from 2009 to 2017. We utilize the three following models: spatial autoregressive (SAR)model, Spatial Error (SEM)Model, and Spatial Autoregressive Combined (SAC)model,with individual(or spatial)fixedeffects according to three different known methods for constructing spatial weights matrices: binary contiguity, inverse distance, and Gaussian transformation spatial weights matrix. Additionally, we pay attention for direct and indirect effects estimates of the explanatory variables for SAR, SEM, and SAC models. The second objective of this paper is to show how to select the appropriate model to fit our data.The results indicate that the three used spatial weights matrices provide the same result based on goodness of fit criteria, and the SAC model is the most appropriate model among the models presented. However, the SACmodelwith spatial weights matrix based on inverse distance is better compared to other used models. Also, the results indicate that percentage of individuals with graduate or professional degree, real Gross Domestic Product (GDP)per capita,and number of nonfarm jobs have a positive impact on the PCPI, while the percentage of individuals without degree or bachelor’s degree have a negative impact on the PCPI. Goodness of Fit Criteria, Gross Domestic Product, Labor Force, Maximum Likelihood, Spatial Autoregressive Combined Model, Spatial Error Model, Spatial Weights Matrix
在过去的几十年里,人均个人收入(cpi)变量是衡量经济发展政策有效性的常用指标。因此,本文试图利用2009 - 2017年美国48个州的空间面板数据模型来研究个人收入的决定因素。我们利用以下三种模型:空间自回归(SAR)模型、空间误差(SEM)模型和空间自回归组合(SAC)模型,根据三种不同的已知构造空间权重矩阵的方法:二元邻近、逆距离和高斯变换空间权重矩阵,利用个体(或空间)固定效应。此外,我们还关注了SAR、SEM和SAC模型解释变量的直接和间接影响估计。本文的第二个目标是展示如何选择合适的模型来拟合我们的数据。结果表明,基于拟合优度准则,三种使用的空间权重矩阵的结果相同,SAC模型是最合适的模型。然而,基于逆距离的空间权矩阵sacmodel与其他模型相比效果更好。此外,具有研究生或专业学位的个人百分比、人均实际国内生产总值(GDP)和非农就业人数对cpi有积极影响,而没有学位或学士学位的个人百分比对cpi有消极影响。拟合优度标准,国内生产总值,劳动力,最大似然,空间自回归组合模型,空间误差模型,空间权重矩阵
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引用次数: 3
Extended Coupled Stochastic Models for Management of Type-2 Diabetes Mellitus (T2DM) Patients 2型糖尿病(T2DM)患者管理的扩展耦合随机模型
Pub Date : 2017-12-22 DOI: 10.24321/2455.7021.201704
Kiran Kumar Paidipat
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引用次数: 0
Coupled Stochastic Differential Modeling for Glucose and Insulin levels among Healthy and Diabetic Patients 健康和糖尿病患者中葡萄糖和胰岛素水平的耦合随机微分模型
Pub Date : 2017-05-10 DOI: 10.24321/2455.7021.201703
K. Paidipati
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引用次数: 1
Statistical Investigation of Household Size using Count Data Regression Models 使用计数数据回归模型的住户人数统计调查
Pub Date : 2017-05-10 DOI: 10.24321/2455.7021.201702
Brijesh Singh
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引用次数: 0
Almost Unbiased Ratio Cum Product Estimator for Finite Population Mean with Known Coefficient of Skewness 已知偏度系数有限总体均值的几乎无偏比积估计
Pub Date : 2017-05-10 DOI: 10.24321/2455.7021.201701
S. MasterAjith
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引用次数: 1
Common Fixed Points of Using Variants of Compatible Mappings 使用兼容映射变体的公共不动点
Pub Date : 2014-12-01 DOI: 10.5373/jaram.2000.032614
V. Gupta
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引用次数: 0
Linear Sloshing in a Vertical Circular Cylinder with Curved Bottom in the Presence of a Rigid Baffle 在刚性挡板存在下,具有弯曲底部的垂直圆柱体中的线性晃动
Pub Date : 2014-12-01 DOI: 10.5373/JARAM.1982.022514
N. Choudhary
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引用次数: 2
Some Synchronization Criteria for N-Dimensional Chaotic Dynamical Systems in Discrete-Time 离散时间n维混沌动力系统的若干同步准则
Pub Date : 2014-12-01 DOI: 10.5373/JARAM.1894.113013
A. Ouannas
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引用次数: 10
A Spectral Approach for Solving Boundary Value Matrix Problems: Existence, Uniqueness and Application to Symplectic Elasticity 求解边值矩阵问题的谱法:存在唯一性及其在辛弹性中的应用
Pub Date : 2014-12-01 DOI: 10.5373/JARAM.2016.041314
N. Khaldi
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引用次数: 3
Strong Convergence of a Noor-Type Iterative Scheme with Errors for Three Sequences of Uniformly Quasi-Lipschitzian Mappings in Convex Cone Metric Spaces 凸锥度量空间中三个一致拟lipschitzian映射序列的noor型带误差迭代格式的强收敛性
Pub Date : 2014-12-01 DOI: 10.5373/JARAM.1925.011814
Seunghye Kim
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引用次数: 0
期刊
The Journal of Advanced Research in Applied Mathematics
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