Dr Emily Whitehouse

Department of Economics

Lecturer in Economics

Emily Whitehouse profile
Profile picture of Emily Whitehouse profile
e.whitehouse@sheffield.ac.uk
+44 114 222 6107

Full contact details

Dr Emily Whitehouse
Department of Economics
Room 411
9 Mappin Street
Sheffield
S1 4DT
Profile

Emily graduated from the University of Manchester in 2012 and obtained an MSc in Economics and Econometrics in 2013 and a PhD in Economics in 2017, both from the University of Nottingham. Emily’s PhD thesis focused on robust testing in time series econometrics, with particular attention to explosive processes, forecast evaluation, and unit root testing under nonlinear alternatives.

Emily was appointed as a Lecturer in Economics at Newcastle University in 2018, before joining the University of Sheffield in 2020. 

She is the Employability Academic Lead for the Department of Economics.

Research interests

Emily’s research focuses on time series and financial econometrics. Some of her current areas of interest are:

  • Explosive autoregressive processes with applications to the detection and dating of asset price bubbles
  • Real time monitoring of economic and financial time series
  • Structural breaks in volatility
  • Forecast evaluation
  • Nonlinear unit root testing

Emily is interested in supervising graduate research in the areas of time series and financial econometrics (both theoretical and applied).

Publications

Journal articles

Working papers

  • Whitehouse EJ, Harvey DI & Leybourne SJ (2022) Real-time monitoring of bubbles and crashes. The Sheffield Economic Research Paper Series (SERPS), 2022007. RIS download Bibtex download
Teaching activities

Emily is currently teaching Introductory Finance to first year undergraduates and Advanced Econometrics to PhD students. She is also providing Econometrics support to third year undergraduates writing a dissertation.

  • ECN104: Introductory Finance for Economics
  • ECN6100: Doctoral Training in Economics
  • ECN331 / ECN332: Economics Undergraduate Dissertation