Portrait of Daniel Leppert

Daniel Leppert Consultant

Daniel is a member of Oxera’s Analytics Centre of Excellence. He uses economics and analytical tools, such as data science and causal inference methods, to provide solutions to a range of client issues across various sectors and areas of expertise including transport, competition and energy. He is an experienced Python and R developer, including for spatial analysis using geographic information systems (GIS).

Before joining Oxera, Daniel was a research associate at Durham University where he is also a PhD candidate. During his PhD, Daniel has collected, processed and analysed firm-level economic data to evaluate sectoral responses to environmental regulation. His work on spatially differentiated risks faced by insurance companies and the coal-fired power sector has been published in peer-reviewed journals and attracted funding from government and academic institutions.

Daniel speaks English, and Swedish.

Tel: +44 2077 766628

Daniel's specialisms include:

Selected
professional experience

  • Led data processing to produce evidence in an international cartel case (2023)

  • Assisted a UK water company in modelling long-run asset replacement rates (2022)

  • Advised a UK rail company on drivers of increased number of severe incidents (2022)

  • Advised the government of a small island nation on its net zero strategies (2022)

Selected
publications

  • Leppert, D. (2023), ‘No fences make bad neighbors’ but markets make better ones: Cap-and-trade reduces cross-border SO2 in a natural experiment’, Environmental Economics and Policy Studies, April, pp. 1–27.

  • Leppert, D., Dalhaus, T.,and Lagerkvist, C.J. (2021), ‘Accounting for geographic basis risk in heat index insurance: How spatial interpolation can reduce the cost of risk’, American Meteorological Society: Weather, Climate & Society, 13:2, pp. 273–86.

Qualifications

  • PhD in Economics, Durham University, UK

  • MSc in Economics, Swedish University of Agricultural Sciences, Sweden

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