This paper studies how television audiences respond when a broadcaster reduces its football content while a competing platform continues to offer full coverage. We exploit this change in content availability using quasi-experimental panel-data methods to study switching behaviour and delayed audience responses.
Paper - Slides - Data Statistics
Historical analysis using a reconstructed panel of 30 seasons to estimate structural price elasticities before the advent of live broadcasting.
Development and validation of a simulation-based measurement instrument for quantifying the sporting significance of individual football matches. Development and validation of a simulation-based measurement instrument for quantifying the sporting significance of individual football matches. The index uses counterfactual season simulations to measure how alternative match outcomes change teams' probabilities of achieving season-level objectives.
We study how simultaneous scheduling affects television audiences in Italian Serie A.
Experimental contingent valuation study measuring the implicit existence compensation (IEC) for farmed animals across species.
Historical Italian football demand panel (1963–1993)
Serie A broadcasting and attendance panel (2012–2024)
Integrated match-level weather dataset based on ERA5 data
Lineup and player-level market value data
240th ROSES Seminar, University of Reading, Slow to Switch (2026).
17th ESEA Sports Economics Conference, Unversity of Zurich, Slow to Switch (2026).
10th AUEB Sports Analytics, Athens, Two Products, One Game: Price Sensitivity in Italian Football Before Live Broadcasting (1963-1993) (2026).
11th International Degrowth Conference poster session, Beyond the Price Tag: Extending Existence Value to Farmed Animals (2025)
192nd ROSES Seminar, University of Reading, How Fans React to Prices and Performance (2025).
Difference-in-Differences · Event Studies · Panel Data · High-Dimensional Fixed Effects · Monte Carlo Simulation · Forecasting · Data Integration · Web Scraping