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Time-trend in spatial dependence: Specification strategy in the first-order spatial autoregressive model

Author

Listed:
  • López, Fernando
  • Chasco, Coro

Abstract

The purpose of this article is to analyze if spatial dependence is a synchronic effect in the first-order spatial autoregressive model, SAR(1). Spatial dependence can be not only contemporary but also time-lagged in many socio-economic phenomena. In this paper, we use three Moran-based space-time autocorrelation statistics to evaluate the simultaneity of this spatial effect. A simulation study shed some light upon these issues, demonstrating the capacity of these tests to identify the structure (only instant, only time-lagged or both instant and time-lagged) of spatial dependence in most cases.

Suggested Citation

  • López, Fernando & Chasco, Coro, 2007. "Time-trend in spatial dependence: Specification strategy in the first-order spatial autoregressive model," MPRA Paper 1985, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:1985
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    File URL: https://mpra.ub.uni-muenchen.de/1985/1/MPRA_paper_1985.pdf
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    Cited by:

    1. 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

    Keywords

    Space-time dependence; Spatial autoregressive models; Moran’s I;
    All these keywords.

    JEL classification:

    • 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
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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