Prediction Using Panel Data Regression with Spatial Random Effects

Bernard Fingleton ()

International Regional Science Review, 2009, vol. 32, issue 2, 195-220

Abstract: This article considers some of the issues and difficulties relating to the use of spatial panel data regression in prediction, illustrated by the effects of mass immigration on wages and income levels in local authority areas of Great Britain. Motivated by contemporary urban economics theory, and using recent advances in spatial econometrics, the panel regression has wages dependent on employment density and the efficiency of the labor force. There are two types of spatial interaction, a spatial lag of wages and an autoregressive process for error components. The estimates suggest that increased employment densities will increase wage levels, but wages may fall if migrants are underqualified. This uncertainty highlights the fact that ex ante forecasting should be used with great caution as a basis for policy decisions.

Keywords: panel data; spatially correlated error components; economic geography; spatial econometrics (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0160017609331608 (text/html)

Related works:
Working Paper: Prediction Using Panel Data Regression with Spatial Random Effects (2008)
Working Paper: Prediction using panel data regression with spatial random effects (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:32:y:2009:i:2:p:195-220

DOI: 10.1177/0160017609331608

Access Statistics for this article

More articles in International Regional Science Review
Bibliographic data for series maintained by SAGE Publications ().