Measuring unobserved prices using the structural time-series model: The case of cycling

David Clive Broadstock, Alan Collins

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


This study presents a means of determining a historic (generalised cost based) price index for cycling in the UK for the period 1949-2006 using annual demand data. By specifying demand as a function of generalised price and income and then applying a structural time-series model to elucidate the unobserved component of prices (while controlling for observed income levels), it is illustrated that the role of prices in influencing demand is non-trivial. Over the sample period price responses generally influence demand for cycling to a greater extent than income effects.
Original languageEnglish
Pages (from-to)195-200
Number of pages6
JournalTransportation Research Part A: Policy and Practice
Issue number4
Publication statusPublished - 1 May 2010
Externally publishedYes


  • Cycling
  • Structural time-series modelling
  • Unobserved prices

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Management Science and Operations Research

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