Marco Ercolani

The Department of Economics
Associate Professor in Econometrics

Contact details

Address
Department of Economics
University House
University of Birmingham
Edgbaston
Birmingham
B15 2TT

Marco is an applied econometrician. He works on a range of socio-economic problems with particular focus on using large datasets to look into issues on health, ageing, and education. In addition to using standard econometric procedures, he programs statistical packages to carry out non-standard regressions and tests. He enjoys working with colleagues on challenging topics of social and economic interest.

Personal Homepage

Qualifications

B.A. Economics (University of Sussex)
M.A. Econometrics (University of Essex)
Ph.D. Economics (University of Essex)

Teaching

Lecturer: Econ106  Quantitative Methods.
Lecturer: Econ333A Labour Economics.
Lecturer: EconG56  Introduction to Time Series Regression

Postgraduate supervision

Labour Econometrics

  • Kay HUANG
  • Cansu UNVER (2nd supervisor)
  • Marios DEMETRIADES (2nd supervisor)

Doctoral research

PhD title
PhD in Economics

Research

Economics Grouop:

Econometrics

Research interests:

Applied econometrics, with experience in handling cross-section, panel and time-series data. General research interest is in 'bringing data to theories'. Current research interests include: Sickness absence behaviour among UK workers, modelling seasonal and non-seasonal economic cycles; price changes at the introduction of the Euro; and contrasting labour market outcomes for younger and older workers.

Other activities

Publications

Recent publications

Article

Carmichael, F, Darko, C, Ercolani, M, Daley, P, Duberley, J, Schwanen, T & Wheatley, D 2024, 'Long hours of work and long commutes in the Greater Accra region of Ghana: Time Poverty and Gender', Feminist Economics. <https://www.tandfonline.com/journals/RFEC>

Evans, LA, Ercolani, MG & Davies, P 2023, 'Epistemological beliefs, approaches to learning, and student performance in a UK Master’s programme with high Chinese enrolment', Cogent Education, vol. 10, no. 2, 2249654. https://doi.org/10.1080/2331186X.2023.2249654

Ercolani, MG, Aggarwal, R, Barker, A, Cooper, D & Jamieson, C 2023, 'Impact of a community pharmacy led antibiotic amnesty in the Midlands region of England', International Journal of Pharmacy Practice, vol. 31, no. 6, pp. 650-652. https://doi.org/10.1093/ijpp/riad040

Carmichael, F, Darko, C, Daley, P, Duberley, J, Ercolani, M, Schwanen, T & Wheatley, D 2023, 'Time poverty and gender in urban sub-Saharan Africa: Long working days and long commutes in Ghana’s Greater Accra Metropolitan Area', Journal of International Development. https://doi.org/10.1002/jid.3817

Carmichael, F, Darko, C, Ercolani, M, Ozgen, C & Siebert, S 2020, 'Evidence on intergenerational income transmission using complete Dutch population data', Economics Letters, vol. 189, 108996. https://doi.org/10.1016/j.econlet.2020.108996

Davies, P & Ercolani, MG 2020, 'Gender, motivation and labour market beliefs in higher education choices', Higher Education. https://doi.org/10.1007/s10734-020-00625-z

Barassi, M, Ercolani, M, Jesus-Herrerias, M & Jin, Z 2018, 'Climate anomalies and migration between Chinese provinces: 1987–2015', The Energy Journal, vol. 39, no. Special Issue 1, 8. https://doi.org/10.5547/01956574.39.SI1.merc

Davies, P & Ercolani, M 2018, 'Hard and soft choices? Subject selection by schools and students', Oxford Review of Education. https://doi.org/10.1080/03054985.2018.1469483, https://doi.org/10.1080/03054985.2018.1469483

Ercolani, M, Pouliot, W & Ercolani, J 2018, 'Luck versus skill over time: time-varying performance in the cross-section of mutual fund returns', Applied Economics, vol. 50, no. 34-35, pp. 3686-3701. https://doi.org/10.1080/00036846.2018.1436154

Johnson, D, Ercolani, M & Mackie, P 2017, 'Econometric analysis of the link between public transport accessibility and employment', Transport Policy, vol. 60, pp. 1-9. https://doi.org/10.1016/j.tranpol.2017.08.001

Carmichael, F & Ercolani, M 2016, 'Unpaid caregiving and paid work over life-courses: different pathways, diverging outcomes', Social Science and Medicine, vol. 156, pp. 1-11. https://doi.org/10.1016/j.socscimed.2016.03.020

Chapter (peer-reviewed)

Ercolani, M 2021, An introduction to the statistical modelling of climate change: 1850-2020. in J Arrowsmith, S Bartington, B Lockwood, I Lynch, K McGowan, J Radcliffe, J Swan, H Toft & C Wason (eds), Addressing the climate challenge. University of Birmingham, Birmingham, pp. 42-46.

Comment/debate

Jamieson, C, Cooper, D, Aggarwal, R, Ercolani, M & Barker, A 2022, 'Antibiotic amnesty — positive action to tackle antimicrobial resistance through community pharmacies', The Pharmaceutical Journal, vol. 309, no. 7963. https://doi.org/10.1211/PJ.2022.1.149799

Commissioned report

Acton, J, Anderson, P, Andres, L, Angus, M, Amor, P, Arrowsmith, J (ed.), Asmelash, H, Bartington, S (ed.), Bengtsson, F, Bhullar, L, Bloss, W, Bonet, B, Börner, S, O Bonsu, N, Bryson, JR, Burns, V, Burrows, A, Calvert, C, Cassidy, N, Cavoski, A, Chadyiwa, M, Chapman, H, Chapman, L, Cockram, M, Degendardt, L, Dickinson, D, Ding, Y, Dobrzynski, D, Dolo, M, Dora, J, Ercolani, M, Ersoy, A, Farag, H, Ferranti, E, Fisher, R, Freer, M, Goldmann, N, Goode, CE, Greenham, S, Gulati, S, Hadfield-Hill, S, Harper, G, Hegerl, G, Hillmansen, S, Holmes, J, Huang, JJ, Huser, C, Jackson, R, Jaroszweski, D, Jefferson, I, Johnson, J, Kaewunruen, S, Kelly-Akinnuoye, F, Kettles, G, Kraftl, P, Krause, S, Leckebusch, GC, Lee, R, Lockwood, B (ed.), Lohse, J, Luna Diez, E, Lynch, I (ed.), MacKenzie, R, Maddison, D, Makepeace, J, Mann, V, Marino, R, Mavronicola, N, McDonald, M, McGowan, K (ed.), Metje, N, Ng, K, Nicol, J, O'Sullivan, C, Phalkey, N, Prestwood, E, Pyatt, N, Quinn, A, Radcliffe, J (ed.), Ravi, M, Reardon, L, Reeder, T, O’Regan, P, Remedios, L, Roberts, J, Rogers, C, Rungskunroch, P, van Schaik, W, Swan, J (ed.), Thomson, I, Toft, H (ed.), Tong, J, Botello Villagrana, F, Walton, A, Wason, C (ed.), Weir, C, Wood, R & Zhong, J 2021, Addressing the climate challenge. University of Birmingham. https://doi.org/10.25500/epapers.bham.00003451

Working paper

Darko, C, Carmichael, F, Ercolani, M, Siebert, S & Ozgen, C 2019 'Evidence on intergenerational income transition using complete Dutch population data' IZA – Institute of Labor Economics. <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3475800 >

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