Movements in and out of poverty are of core interest to both policymakers and economists. Yet the panel data needed to analyze such movements are rare. In this paper we build on the methodology used to construct poverty maps to show how repeated cross-sections of household survey data can allow...

In this paper, we test for Wagner's law for 15 Indian states. We consider nine panels of states based on geography and level of economic development. Using panel unit-root, panel-cointegration, and panel-Granger causality analysis, we unravel strong evidence of Wagner's law. However, we find...

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,...

We explore the relative ability of local economies to retain their long-run growth dynamics when faced by the destabilizing effects of major shocks. Taking annual wage series for nineteen U.K. towns over the historical period 1871–1906, we fit a spatial panel data model to 1871–1890 data and...

This paper sets up a nested random effects spatial autoregressive panel data model to explain annual house price variation for 2000–2007 across 353 local authority districts in England. The estimation problem posed is how to allow for the endogeneity of the spatial lag variable producing the...