Non-parametric modelling of spatial price relationships

Teresa Serra, Barry K. Goodwin, José M. Gil, Anthony Mancuso

Research output: Contribution to journalArticlepeer-review


We apply non-parametric methods to a consideration of price transmission processes within US egg markets at the turn of the nineteenth century. Gordon (National Bureau of Economic Research Working Paper 7833, 2000) labelled this as an era of 'Great Inventions' which contributed to the subsequent years of significant productivity growth and noted that the development of mechanical refrigeration and transportation technologies played an important role in this growth. Our models present certain advantages relative to parametric models traditionally employed in price transmission analyses. We compare results derived from local polynomial modelling with those obtained using non-linear threshold models. Both techniques suggest that US egg markets were interrelated at the turn of the nineteenth century. However, non-parametric techniques often suggest a higher degree of price transmission than that implied by threshold models. Results also suggest that threshold models may have difficulties in adequately capturing price relationship dynamics, especially when these are of a highly nonlinear nature.

Original languageEnglish (US)
Pages (from-to)501-522
Number of pages22
JournalJournal of Agricultural Economics
Issue number3
StatePublished - Sep 2006
Externally publishedYes


  • Local linear regression
  • Price transmission
  • Threshold autoregressive model

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Economics and Econometrics


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