Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality
In many 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 regression framework. However, in order t...
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doaj-00c1fe39039a427caf3df42e056c0f382020-11-24T22:18:44ZengMDPI AGEconometrics2225-11462015-10-013470971810.3390/econometrics3040709econometrics3040709Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for ConfidentialityGiuseppe Arbia0Giuseppe Espa1Diego Giuliani2Department of Statistical Science, Catholic University of the Sacred Heart, Rome 00168, ItalyDepartment of Economics and Management, University of Trento, Trento 38122, ItalyDepartment of Economics and Management, University of Trento, Trento 38122, ItalyIn many 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 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.http://www.mdpi.com/2225-1146/3/4/709spatial econometricsspatial microeconometricsconsistency of estimatesgeo-maskingconfidentialitydistance evaluation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Giuseppe Arbia Giuseppe Espa Diego Giuliani |
spellingShingle |
Giuseppe Arbia Giuseppe Espa Diego Giuliani Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality Econometrics spatial econometrics spatial microeconometrics consistency of estimates geo-masking confidentiality distance evaluation |
author_facet |
Giuseppe Arbia Giuseppe Espa Diego Giuliani |
author_sort |
Giuseppe Arbia |
title |
Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality |
title_short |
Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality |
title_full |
Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality |
title_fullStr |
Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality |
title_full_unstemmed |
Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality |
title_sort |
measurement errors arising when using distances in microeconometric modelling and the individuals’ position is geo-masked for confidentiality |
publisher |
MDPI AG |
series |
Econometrics |
issn |
2225-1146 |
publishDate |
2015-10-01 |
description |
In many 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 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. |
topic |
spatial econometrics spatial microeconometrics consistency of estimates geo-masking confidentiality distance evaluation |
url |
http://www.mdpi.com/2225-1146/3/4/709 |
work_keys_str_mv |
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