McIntosh, Steven, Professor

91��Ƭ

Professor Steven McIntosh

School of Economics

Professor of Economics

s.mcintosh@sheffield.ac.uk
+44 114 222 3406

+44 114 222 3458 (fax)

Room C60, Elmfield Building

Full contact details

Professor Steven McIntosh
School of Economics
Room C60
Elmfield Building
Northumberland Road
Sheffield
S10 2TU

Profile

Steve graduated from the University of Leicester in 1990, obtained an MSc from the University of Warwick in 1992, and completed his PhD at the London School of Economics in 1997.

He then worked as a researcher in the Centre for Economic Performance at the London School of Economics until 2005, when he moved to the University of Sheffield to take up the position of Reader.

Steve is a member of the European Association of Labour Economists, and is on the editorial board of the Journal of Education and Work.

Steve has undertaken research for a wide range of UK government departments, in particular the Department for Education, the Department for Business, Energy & Industrial Strategy (formerly Department for Business, Innovation and Skills), the Department for Work and Pensions and the Welsh Assembly Government, as well as for international bodies such as the European Union Commission and UNESCO. He was made a Professor of Economics in January 2016.

Research interests: Steve researches in the areas of Labour Economics and the Economics of Education. His research focuses on the factors associated with education choices and outcomes, and what effect educational attainment has on labour market outcomes. He is particularly interested in inequality in education opportunities and attainment, considering factors such as family socioeconomic status.

Steve's research uses national survey data, and increasingly linked administrative data sets, that follow cohorts of young people throughout their educational journey and into the labour market. A particular interest is in vocational education and skills, looking at how such routes offer an alternative to more academic education, and the extent to which they provide the skills needed in the labour market.

Steve is interested in supervising any applied microeconometric PhDs, particularly in the areas of labour or education.

Publications

Journal articles

Lindley J & McIntosh S (2017) . Oxford Bulletin of Economics and Statistics, 79(4), 570-591.
McIntosh S & Lindley J (2015) . Labour Economics, 37, 101-111.
Lindley J, Mcintosh S, Roberts J, Czoski Murray C & Edlin R (2015) . Economic Modelling, 51, 635-645.
Dickerson A, McIntosh S & Valente C (2015) . Economics of Education Review, 46, 1-22.
Dickerson A & McIntosh S (2013) . Urban Studies, 50(4), 742-758.
Brown S, Mcintosh S & Taylor K (2011) . Oxford Bulletin of Economics and Statistics, 73(1), 40-58.
Green F & McIntosh S (2007) . APPL ECON, 39(4-6), 427-439.
Chevalier A, Dolton P & McIntosh S (2007) . ECONOMICA, 74(293), 69-96.
Mcintosh S (2006) . Oxford Bulletin of Economics and Statistics, 68(2), 225-251.
McIntosh S (2005) . Journal of Education and Work, 18(3), 251-282.
Brown D & McIntosh S (2003) . Applied Economics, 35(10), 1241-1254.
Green F, McIntosh S & Vignoles A (2002) . The Manchester School, 70(6), 792-811.
Dearden L, McIntosh S, Myck M & Vignoles A (2002) . Bulletin of Economic Research, 54(3), 249-274.
Steedman H (2001) . Oxford Economic Papers, 53(3), 564-581.
McIntosh S (2001) . Oxford Economic Papers, 53(3), 453-481.
Green F & McIntosh S (2001) . Labour Economics, 8(2), 291-308.
McIntosh S (2001) . Education Economics, 9(1), 69-90.
Green F & McIntosh S (1998) . ILR Review, 51(3), 363-383.
McIntosh S & Charalambidou C () Over-education in Cyprus: Micro and Macro Determinants, Persistence and State Dependence. A Dynamic Panel Analysis. The Manchester School.

Teaching activities: I teach the module 'Statistical Methods For Economics' to single honours students in their first year. The focus of the module is very much about using statistical methods, in order to describe data and to test hypotheses. My aim is to ensure that all students feel comfortable using statistical methods, to support their economic theory, and to understand the world around them. The module prepares students for further study in econometrics in their second year, and is of use in many applied modules.