IDEAS home Printed from https://ideas.repec.org/a/pcp/pucrev/y2021i87p74-88.html
   My bibliography  Save this article

The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models

Author

Listed:
  • Fernando A. López Hernández

    (Universidad Politécnica de Cartagena)

  • Román Mínguez Salidos

    (Universidad Castilla la Mancha)

Abstract

This paper presents a test based on the principle of Lagrange Multipliers to identify spatialinstability 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 areaswith 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.

Suggested Citation

  • Fernando A. López Hernández & Román Mínguez Salidos, 2021. "The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 44(87), pages 74-88.
  • Handle: RePEc:pcp:pucrev:y:2021:i:87:p:74-88
    as

    Download full text from publisher

    File URL: https://revistas.pucp.edu.pe/index.php/economia/article/view/23957/22771
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Parametric instability; Hypothesis test; Lagrange Multipliers; Scan methodology; Spatial autocorrelation;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pcp:pucrev:y:2021:i:87:p:74-88. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/depucpe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.