Volumen 44 Número 87 (2021)

Permanent URI for this collectionhttp://54.81.141.168/handle/123456789/186801

Tabla de Contenido
  • Presentation Herrera-Gómez, Marcos

    • Articles
  • Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation Izaguirre, Alejandro; 1-19
  • Price and Spatial Distribution of Office Rental in Madrid: A Decision Tree Analysis Camacho, Máximo; Ramallo, Salvador; Ruiz, Manuel; 20-40
  • A Simple Test of Spatial Autocorrelation for Centered Variables Mur, Jesús; 41-55
  • Empirical Identification of Intra-Urban Subcentralities: A New Methodological Approach with an Application for a Developing Country Campos, Rodger B. A; Azzoni, Carlos; 56-73
  • The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models López Hernández, Fernando A; Mínguez Salidos, Román; 74-88
  • Where Are the Poor Located? A Spatial Heterogeneity Analysis of Monetary Poverty in Peru Palomino, Juan; Sánchez, Thyara; 89-114
  • Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach Mendez, Carlos; Gonzales, Erick; 115-145
  • Spatial Diffusion of Civil Liberty Chasco, Coro; Lacalle-Calderon, Maricruz; Alfonso-Gil, Javier; 146-169

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    Subject: search.filters.subject.Spatial autocorrelation

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      A Simple Test of Spatial Autocorrelation for Centered Variables
      (Pontificia Universidad Católica del Perú, 2021-05-06) Mur, Jesús
      We present a simple test of spatial autocorrelation based on the skedastic structure of the spatial series. Its distribution function is known for all sample sizes. Moreover, it is very simple to obtain, specially in a case of small samples where the new GQsp test has great power, higher than other alternatives existing in the literature.
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      The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
      (Pontificia Universidad Católica del Perú, 2021-05-06) López Hernández, Fernando A.; Mínguez Salidos, Román
      This paper presents a test based on the principle of Lagrange Multipliers to identify spatial instability in the constant coefficient of regression models including substantive spatial dependence. The test has been adapted to the Scan methodology. Its main advantage is that it identifies areas with differential behavior without the need to provide information about their location, shape, or size. The study shows the utility of the test, reconsidering the results obtained by Mur et al.(2008) about instability in the distribution of per capita income in European regions.