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US Metropolitan Area Resilience: Insights from dynamic spatial panel estimation

  • University of Cambridge

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we show that the economic crisis commencing in 2007 had different impacts across US Metropolitan Statistical Areas, and seek to understand why differences occurred. The hypothesis of interest is that differences in industrial structure are a cause of variations in response to the crisis. Our approach uses a state-of-the art dynamic spatial panel model to obtain counterfactual predictions of Metropolitan Statistical Area employment levels from 2008 to 2014. The counterfactual employment series are compared with actual employment paths in order to obtain Metropolitan Statistical Area-specific measures of crisis impact, which then are analysed with a view to testing the hypothesis that resilience to the crisis was dependent on Metropolitan Statistical Area industrial structure.

Original languageEnglish
Pages (from-to)111-132
Number of pages22
JournalEnvironment and Planning A
Volume50
Issue number1
DOIs
Publication statusPublished - 1 Feb 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • post-Keynesian economics
  • recovery
  • resilience
  • Resistance
  • Verdoorn’s law

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