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

David Clive Broadstock; Alan Collins

doi:10.1016/j.tra.2010.01.002

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

David Clive Broadstock
, Alan Collins

Research output: Journal article publication › Journal article › Academic research › peer-review

5 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	195-200
Number of pages	6
Journal	Transportation Research Part A: Policy and Practice
Volume	44
Issue number	4
DOIs	https://doi.org/10.1016/j.tra.2010.01.002
Publication status	Published - 1 May 2010
Externally published	Yes

Keywords

Cycling
Structural time-series modelling
Unobserved prices

ASJC Scopus subject areas

Civil and Structural Engineering
Transportation
Management Science and Operations Research

More information

10.1016/j.tra.2010.01.002

Cite this

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KW - Unobserved prices

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

Abstract

Keywords

ASJC Scopus subject areas

More information

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