Ganesh Nana
From Wikipedia, the free encyclopedia
Dr Ganesh Nana (11 April, 1960), is a leading New Zealand economist. He is renowned for his work with numbers and his creation of an inter-industry computable general equilibrium model with dynamic investor and consumer behaviour. He is also known for projects including an assessment of the fiscal impact of migrants, numerous regional profiles and projections, as well as the effect of efficiency improvements in building and construction.
[edit] Education
Dr Ganesh Nana attended high school at Newlands College where he completed all of his college years. Following this he decided to stay in Wellington and attend Victoria University where he completed his BCA in 1981 and a BCA with honours the following year. After gaining a lot of work experience he completed his PhD in 1999.[1] His thesis title was An inter-industry computable general equilibrium model with dynamic investor and consumer behaviour.
[edit] Career
Dr Nana has 20 years work experience in the field of economics, firstly working as a researcher at the Project on Economic Planning at the Victoria University of Wellington. Thereafter he went to England where he gained ‘hands-on’ experience of the UK Treasury and the OECD Multimod models, simulating the impacts of policy changes and shocks working in the House of Commons and, later, for Oxford Economic Forecasting Ltd. Following this he returned to New Zealand where he became a tutor and lecturer at Vicitoria University Wellington. He also undertook some sub-contract work for Business and Economic Research Ltd (BERL)..[2] BERL have been providing economic advice to public and private sector clients since 1958. He was offered a full-time job by BERL in 1998 which he gladly accepted and has been working for them full-time ever since. He is one of their most senior economists and is known by others as "the numbers man". Due to his experience, lately he has been the media face of BERL. He has made regular television and newspaper appearances particularly discussing the subject of the OCR.[3]
