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Journal of Spatial Econometrics最新文献

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Do spatial interactions fuel the climate-conflict vicious cycle? The case of the African continent 空间相互作用是否加剧了气候冲突的恶性循环?以非洲大陆为例
Pub Date : 2020-11-17 DOI: 10.1007/s43071-020-00007-8
F. Cappelli, Caterina Conigliani, V. Costantini, K. Lelo, A. Markandya, Elena Paglialunga, Giorgia Sforna
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引用次数: 3
Network dependence in multi-indexed data on international trade flows 多指数数据对国际贸易流的网络依赖性
Pub Date : 2020-10-23 DOI: 10.1007/s43071-020-00005-w
M. Fischer, J. LeSage
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引用次数: 7
Spatial panel count data: modeling and forecasting of urban crimes 空间面板计数数据:城市犯罪的建模与预测
Pub Date : 2020-09-29 DOI: 10.2139/ssrn.3701642
S. Glaser, Robert C. Jung, Karsten Schweikert
The steadily growing access to high-quality spatio-temporal crime count data with a high level of spatial detail allows to uncover interesting relationships between crime types within and between small regional units. Data coherent forecasting of such counts has to take the integer and non-negative nature of the data into account. Spatial panel data models that meet the criterion of coherency are relatively sparse. This paper proposes a new spatial panel regression framework with fixed effects to overcome these shortcomings. Depending on whether time dynamic effects are included in the model specification, estimation and inference are based either on a pseudo maximum likelihood method or on quasi-differenced generalized methods of moments. The models’ usefulness is demonstrated in a forecasting exercise of monthly crime counts at census tract level from Pittsburgh, Pennsylvania.
对高质量的时空犯罪统计数据的访问不断增加,具有高水平的空间细节,可以揭示小区域单位内部和之间犯罪类型之间的有趣关系。这种计数的数据一致性预测必须考虑到数据的整数和非负性质。满足相干准则的空间面板数据模型是相对稀疏的。本文提出了一种新的具有固定效应的空间面板回归框架来克服这些缺点。根据模型规范中是否包含时间动态效应,估计和推断要么基于伪极大似然方法,要么基于准差分广义矩方法。这些模型的实用性在宾夕法尼亚州匹兹堡市人口普查区每月犯罪数量的预测中得到了证明。
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引用次数: 3
Specification tests for spatial panel data models 空间面板数据模型的规范试验
Pub Date : 2020-07-30 DOI: 10.1007/s43071-020-00003-y
A. Bera, Osman Doğan, Suleyman Taspinar, Monalisa Sen
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引用次数: 0
Asymptotic properties of a spatial autoregressive stochastic frontier model 空间自回归随机前沿模型的渐近性质
Pub Date : 2020-06-26 DOI: 10.1007/s43071-020-00002-z
Fei Jin, Lung-fei Lee
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引用次数: 4
GMM identification and estimation of peer effects in a system of simultaneous equations 联立方程组中对等效应的GMM辨识与估计
Pub Date : 2020-02-03 DOI: 10.1007/s43071-020-0001-4
Xiaodong Liu
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引用次数: 5
Spatial clustering patterns of children in single-mother households in Japan 日本单亲母亲家庭儿童的空间聚类模式
Pub Date : 2019-11-18 DOI: 10.1007/s43071-020-00006-9
Yukiko Abe, Mizuki Kawabata, Yuki Shibatsuji
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引用次数: 1
Specification tests for spatial panel data models 空间面板数据模型的规范试验
Pub Date : 2017-10-22 DOI: 10.2139/ssrn.3261615
Anil K. Bera, Osman Doğan, Suleyman Taspinar, Monalisa Sen
Specification of a model is one of the most fundamental problems in econometrics. In practice, specification tests are generally carried out in a piecemeal fashion, for example, testing the presence of one-effect at a time ignoring the potential presence of other forms of misspecification. Many of the suggested tests in the literature require estimation of complex models and even then those tests cannot account for multiple forms of departures from the model under the null hypothesis. Using Bera and Yoon (Econom Theory 9(04):649–658, 1993) general test principle and a spatial panel model framework, we first propose an overall test for “all” possible misspecification. Then, we derive adjusted Rao’s score tests for random effect, serial correlation, spatial lag and spatial error, which can identify the definite cause(s) of rejection of the basic model and thus aiding in the steps for model revision. For empirical researchers, our suggested procedures provide simple strategies for model specification search employing only the ordinary least squares residuals from a standard linear panel regression. Through an extensive simulation study, we evaluate the finite sample performance of our suggested tests and some of the existing procedures. We find that our proposed tests have good finite sample properties both in terms of size and power. Finally, to illustrate the usefulness of our procedures, we provide an empirical application of our test strategy in the context of the convergence theory of incomes of different economies, which is a widely studied empirical problem in macro-economic growth theory. Our empirical illustration reveals the problems in using and interpreting unadjusted tests, and demonstrates how these problems are rectified in using our proposed adjusted tests.
模型规范是计量经济学中最基本的问题之一。在实践中,规范测试通常以一种零碎的方式进行,例如,一次测试一种效果的存在,而忽略了其他形式的错误规范的潜在存在。文献中许多建议的检验都需要对复杂模型进行估计,即使这样,这些检验也不能解释在零假设下与模型偏离的多种形式。利用Bera和Yoon(经济理论9(04):649-658,1993)的一般测试原则和空间面板模型框架,我们首先提出了对“所有”可能的错误规范的总体测试。然后,我们推导了随机效应、序列相关、空间滞后和空间误差的调整Rao分数检验,可以确定基本模型被拒绝的确切原因,从而为模型修正的步骤提供帮助。对于经验研究人员,我们建议的程序为模型规范搜索提供了简单的策略,仅使用标准线性面板回归的普通最小二乘残差。通过广泛的模拟研究,我们评估了我们建议的测试和一些现有程序的有限样本性能。我们发现我们提出的测试在尺寸和功率方面都具有良好的有限样本特性。最后,为了说明我们的程序的有用性,我们在不同经济体收入收敛理论的背景下提供了我们的测试策略的实证应用,这是宏观经济增长理论中广泛研究的实证问题。我们的实证说明揭示了在使用和解释未调整测试中的问题,并演示了如何使用我们提出的调整测试来纠正这些问题。
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引用次数: 0
Spatial dependence in regional business cycles: evidence from Mexican states 区域经济周期的空间依赖性:来自墨西哥各州的证据
Pub Date : 2015-07-01 DOI: 10.1007/s43071-021-00018-z
Keisuke Kondo
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引用次数: 3
期刊
Journal of Spatial Econometrics
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