Prediction in a Generalized Spatial Panel Data Model with Serial Correlation
journal contributionposted on 2017-03-10, 10:12 authored by Badi H. Baltagi, Long Liu
This paper considers the generalized spatial panel data model with serial correlation proposed by Lee and Yu (Spatial panels: random components versus fixed effects. International Economic Review 2012; 53: 1369–1412.), which encompasses many of the spatial panel data models considered in the literature, and derives the best linear unbiased predictor (BLUP) for that model. This in turn provides valuable BLUP for several spatial panel models as Special Cases.
This work received computational support from Computational System Biology Core, funded by the National Institute on Minority Health and Health Disparities (G12MD007591) from the National Institutes of Health.
CitationJournal of Forecasting, 2016, 35 (7), pp. 573-591 (19)
Author affiliation/Organisation/COLLEGE OF SOCIAL SCIENCES, ARTS AND HUMANITIES/Department of Economics
- AM (Accepted Manuscript)