6533b828fe1ef96bd1288f27
RESEARCH PRODUCT
Dealing with spatial data pooled over time in statistical models
Diègo LegrosJean Dubésubject
EstimationStructure (mathematical logic)Economics and EconometricsComputer scienceProcess (engineering)Geography Planning and DevelopmentStatistical modelstatistical modelscomputer.software_genre[SHS.ECO]Humanities and Social Sciences/Economics and FinanceUrban Studiesspatial dataEconometrics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesSpatial econometricsData miningMATLAB[SHS.ECO] Humanities and Social Sciences/Economics and FinanceSpatial analysiscomputerComputingMilieux_MISCELLANEOUSDemographycomputer.programming_languagePanel datadescription
Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled over time and proposes a simple way to take into account unidirectional temporal effect as well as multidirectional spatial effect in the estimation process. An empirical example, using data on 25,357 single family homes sold in Lucas County, OH (USA), between 1993 and 1998 (available in the MatLab library), is used to illustrate the potential of the approach proposed.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-07-25 |