IDEAS home Printed from
   My bibliography  Save this paper

Is spatial dependence an instantaneous effect? Some evidence in economic series of Spanish provinces


  • Chasco, Coro
  • López, Fernando


The purpose of this article is to analyze if spatial dependence is a synchronic effect, as it has usually been defined. It is known that in many socio-economic phenomena spatial dependence can be not only contemporary but also time-lagged. In this paper, we use two Moran-based space-time autocorrelation statistics in order to evaluate the simultaneity of this spatial effect, allowing for mixed specifications with instantaneous and space-time dependence terms. Some applications with economic data for Spanish provinces shed some light upon these issues.

Suggested Citation

  • Chasco, Coro & López, Fernando, 2006. "Is spatial dependence an instantaneous effect? Some evidence in economic series of Spanish provinces," MPRA Paper 1777, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:1777

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. repec:spr:soinre:v:135:y:2018:i:2:d:10.1007_s11205-016-1497-9 is not listed on IDEAS
    2. Massimiliano Agovino & Antonio Garofalo, 2013. "Dipendenza spaziale contemporanea e non contemporanea nei tassi di disoccupazione: un tentativo di analisi empirica dei dati provinciali italiani," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2013(3), pages 45-82.

    More about this item


    Space-time dependence; Spatial autoregressive models; Moran’s I; Spanish provinces;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:pra:mprapa:1777. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.