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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      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.