Constructing spatiotemporal poverty indices from big data
Christopher Njuguna, Patrick McSharry
| Year of publication: |
January 2017
|
|---|---|
| Authors: | Njuguna, Christopher ; McSharry, Patrick E. |
| Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 189773-1. - Vol. 70.2017, p. 318-327
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| Subject: | Call detail record (CDR) | Poverty index | Machine learning | Big data | Socioeconomic level | Rwanda | Künstliche Intelligenz | Artificial intelligence | Big Data | Armut | Poverty | Ruanda | Sozialer Indikator | Social indicator | Messung | Measurement | Index | Index number | Indexberechnung | Index construction |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jbusres.2016.08.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011620484