Dr William Cochrane
Senior Lecturer, Convenor (IR&HRM)
Qualifications: MSocSc, PhD Waikato
Bill Cochrane was a Research Fellow in the Population Studies Centre from 2002-2010, and continues in the National Institute of Demographic and Economic Analysis as an Associate Researcher. He is involved with Jacques Poot and Michael Cameron in the provision of a wide range of consultancy services to local authorities, district health boards and various NGO's in the areas of population projection and labour market analysis.
He gained his PhD from the University of Waikato in 2011 researching regional diversity and local labour market outcomes in New Zealand.
Dr William Cochrane's main interests lie in Labour Economics. He specialises in the econometric analysis of local labour markets, spatial econometric analysis, evaluation of policy particularly in relation to the labour market and social security system, labour market and small area demographic projections; as well as analysis of the organisation of work and workplace productivity.
Cochrane, W., & Poot, J. (2020). Did the post-1986 decline in the homeownership rate benefit the New Zealand labour market? A spatial-econometric exploration. Asia Pacific Journal of Regional Science, 4, 261-284. doi:10.1007/s41685-020-00148-6
Abdul Ghani, R., Cameron, M., Cochrane, W., & Roskruge, M. (2020). The causal impact of trade on migration: A gravity model estimation (20/01). Waikato Management School.
Rua, M., Hodgetts, D., Stolte, O., King, D., Cochrane, B., Stubbs, T., . . . Groot, S. (2019). Precariat Māori households today: Te Arotahi Series Paper (May, No.02). Ngā Pae o te Māramatanga New Zealand’s Māori Centre of Research Excellence.
Cochrane, W., & Poot, J. (2019). Did the post-1986 decline in the homeownership rate benefit the New Zealand labour market? A spatial-econometric exploration (IZA DP No. 12402). Bonn, Germany: IZA Institute of Labor Economics. doi:10.1007/s41685-020-00148-6
Regional diversity; local labour market outcomes; organisation of work; industry structure and survey analysis; design and implementation.
Contact DetailsEmail: [email protected]
Phone: +64 7 838 4023