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Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application

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  • Baylis, Katherine R.
  • Paulson, Nicholas D.
  • Piras, Gianfranco

Abstract

Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatial econometric methods for panel data. We then illustrate some of these tools within a climate change application using a hedonic model of farmland values and panel data. Estimates for the model are provided across a range of nonspatial and spatial estimators, including spatial error and spatial lag models with fixed and random effects extensions. Given the importance of location and extensive use of panel data in many subfields of agricultural economics, these recently developed spatial panel methods hold great potential for applied researchers.

Suggested Citation

  • Baylis, Katherine R. & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(3), pages 1-14, August.
    • Handle: RePEc:ags:joaaec:113518
    DOI: 10.22004/ag.econ.113518
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    8. O’Donoghue, Cathal & McKinstry, Alistair & Green, Stuart & Fealy, Reamonn & Heanue, Kevin & Ryan, Mary & Connolly, Kevin & Desplat, J.C. & Horan, Brendan, 2016. "A Blueprint for a Big Data Analytical Solution to Low Farmer Engagement with Financial Management," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-24, June.

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