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ECON2101 · Group Presentation

MTR Fare Elasticity, 2015–2025

25/26 · Semester A

Abstract

This presentation estimates the own-price elasticity of MTR ridership using typhoon-day service disruptions as an instrument, and reports estimates across six sub-samples.

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Transcript excerpt

…our identification strategy exploits typhoon-day service suspensions as a source of variation in effective fares per completed trip. The first-stage F statistic is 41.2, above conventional weak-instrument thresholds; we also report Anderson–Rubin confidence intervals, which contain zero only under the most conservative sub-sample. Our preferred point estimate for the own-price elasticity is negative 0.34, with a standard error of 0.08. We do not claim this generalises to bus or ferry demand. On the demand system as a whole, we treat the cross-price terms as under-identified and report them only in the appendix. We recognise the presentation is dense; we chose to prioritise being right over being memorable…

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Slides

  • Title slide: MTR Fare Elasticity 2015–2025.

    Slide 1 · Title

  • Bullet points describing the instrumental-variables identification strategy.

    Slide 2 · Identification

  • Downward line chart of elasticity estimates over time.

    Slide 3 · Estimates

  • Bar chart of estimates across six sub-samples.

    Slide 4 · Robustness

Rate this presentationFour sliders, four short justifications — about five minutes.