Dynamic Models in Space and Time

2001/04/01 by J. Paul Elhorst · 2 citations
Economics, Econometrics and Finance · #Spatial and Panel Data Analysis #Regional Economics and Spatial Analysis #Regional Economic and Spatial Analysis

paper · pdf · doi:10.1111/j.1538-4632.2001.tb00440.x

Abstract

This paper presents a first‐order autoregressive distributed lag model in both space and time. It is shown that this model encompasses a wide series of simpler models frequently used in the analysis of space‐time data as well as models that better fit the data and have never been used before. A framework is developed to determine which model is the most likely candidate to study space‐time data. As an application, the relationship between the labor force participation rate and the unemployment rate is estimated using regional data of Germany, France, and the United Kingdom derived from Eurostat, 1983–1993.

Citations

• Co-Integration and Error Correction: Representation, Estimation, and Testing
• A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model

Cited by

• A Dynamic Spatial Weight Matrix and Localized Space–Time Autoregressive Integrated Moving Average for Network Modeling
• What drives total factor productivity growth? An examination of spillover effects

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