Estimation of spatial econometric linear models with large datasets : how big can spatial Big Data be?
G. Arbia, C. Ghiringhelli, A. Mira
| Year of publication: |
2019
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|---|---|
| Authors: | Arbia, Giuseppe ; Ghiringhelli, C. ; Mira, A. |
| Published in: |
Regional science & urban economics. - Amsterdam [u.a.] : Elsevier, ISSN 0166-0462, ZDB-ID 191791-2. - Vol. 76.2019, p. 67-73
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| Subject: | Bayesian estimator | Big spatial data | Computational issues | Dense matrix | Maximum Likelihood | Spatial econometric models | Spatial two stages least squares | Schätztheorie | Estimation theory | Regionalökonomik | Regional economics | Räumliche Interaktion | Spatial interaction | Ökonometrie | Econometrics | Big Data | Big data | Bayes-Statistik | Bayesian inference | Ökonometrisches Modell | Econometric model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.regsciurbeco.2019.01.006 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012267313