Economía

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e-ISSN: 2304-4306

ECONOMÍA Journal was initially established as the “Revista Economía” of the Department of Economics of the Pontificia Universidad Católica of Peru (PUCP) in 1977. It is the oldest academic journal on economics in the country. Building on that legacy, ECONOMÍA has now been relaunched as an internationally refereed journal dedicated to publishing original academic research on economics in English, with an expanded and prestigious Editorial Board, as well as a large team of Associated Editors that guarantee the highest theoretical and methodological standards.

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Start date: 2020Subject: 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.
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    A Simple Test of Spatial Autocorrelation for Centered Variables
    (Pontificia Universidad Católica del Perú. Fondo Editorial, 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.