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Conditional spatial policy dependence: theory and model specification

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  • Neumayer, Eric
  • Plümper, Thomas

Abstract

The authors discuss how scholars can bring theories of spatial policy dependence and empirical model specifications closer in line so that the empirical analysis actually tests the theoretical predictions. Comprehensive theories of spatial policy dependence typically suggest that the jurisdictions receiving spatial stimuli systematically differ in their exposure to such signals as a function of the intensity of their interaction with other jurisdictions. Similarly, theories often predict that governments also differ in their responsiveness to any given spatial stimulus as a function of the institutional, political, economic, or social context in which they operate. In other words, theories typically postulate that spatial dependence is conditional on exposure and responsiveness, neither of which is accounted for in the standard empirical practice of estimating one single common coefficient for a row-standardized spatial lag variable. The authors show how scholars can adequately model both forms of heterogeneity with properly specified interaction effects models.

Suggested Citation

  • Neumayer, Eric & Plümper, Thomas, 2012. "Conditional spatial policy dependence: theory and model specification," LSE Research Online Documents on Economics 44457, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:44457
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    File URL: http://eprints.lse.ac.uk/44457/
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    Cited by:

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    4. Frola, Alessia & Delprato, Marcos & Chudgar, Amita, 2024. "Lack of educational access, women's empowerment and spatial education inequality for the Eastern and Western Africa regions," International Journal of Educational Development, Elsevier, vol. 104(C).
    5. Troeger, Vera & Plumper, Thomas, 2012. "Tax Competition and Income Inequality: Why did the Welfare State Survive?," CAGE Online Working Paper Series 83, Competitive Advantage in the Global Economy (CAGE).
    6. Sara Kahn-Nisser, 2017. "Channels of Influence: The EU and Delta Convergence of Core Labour Standards in the Eastern Neighbourhood," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(1), pages 127-143, January.
    7. George, Justin & Sandler, Todd, 2018. "Demand for military spending in NATO, 1968–2015: A spatial panel approach," European Journal of Political Economy, Elsevier, vol. 53(C), pages 222-236.
    8. Roman Senninger & Daniel Bischof, 2018. "Working in unison: Political parties and policy issue transfer in the multilevel space," European Union Politics, , vol. 19(1), pages 140-162, March.
    9. Song, Malin & Peng, Jun & Wang, Jianlin & Zhao, Jiajia, 2018. "Environmental efficiency and economic growth of China: A Ray slack-based model analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 51-63.
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    11. Delprato, Marcos & Chudgar, Amita & Frola, Alessia, 2024. "Spatial education inequality for attainment indicators in sub-saharan Africa and spillovers effects," World Development, Elsevier, vol. 176(C).
    12. Simon Pemberton & Janice Morphet, 2014. "The Rescaling of Economic Governance: Insights into the Transitional Territories of England," Urban Studies, Urban Studies Journal Limited, vol. 51(11), pages 2354-2370, August.

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    More about this item

    Keywords

    diffusion; exposure; responsiveness; row-standardization; spatial analysis;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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