measurement errors arising when using distances in spatial microeconometric modelling and the individuals' position is geo-masked for confidentiality

Giuseppe Arbia, Giuseppe Espa, Diego Giuliani

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

Abstract

In many spatial microeconometric models we use distances. For instance, in modelling the individual behavior in labor economics or in health studies, the distance from a relevant point of interest (such as a hospital or a workplace) is often used as a predictor in a spatial regression framework. However, in order to preserve confidentiality, spatial micro-data are often geo-masked, thus reducing their quality and dramatically distorting the inferential conclusions. In particular in this case a measurement error is introduced in the independent variable which negatively affects the properties of the estimators. This paper studies these negative effects, discusses their consequences and suggests possible interpretations and directions to data producers, end users and practitioners.
Lingua originaleEnglish
pagine (da-a)709-718
Numero di pagine10
RivistaEconometrics
Volume2015
DOI
Stato di pubblicazionePubblicato - 2015

Keywords

  • confidentiality
  • consistency of estimates
  • distance evaluation
  • geo-masking
  • spatial econometrics
  • spatial microeconometrics

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