Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/171853 
Erscheinungsjahr: 
2015
Quellenangabe: 
[Journal:] Econometrics [ISSN:] 2225-1146 [Volume:] 3 [Issue:] 4 [Publisher:] MDPI [Place:] Basel [Year:] 2015 [Pages:] 709-718
Verlag: 
MDPI, Basel
Zusammenfassung: 
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.
Schlagwörter: 
spatial econometrics
spatial microeconometrics
consistency of estimates
geo-masking
confidentiality
distance evaluation
JEL: 
C01
C13
C31
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe
230.95 kB





Publikationen in EconStor sind urheberrechtlich geschützt.