Jeffrey Matsu is a Senior Economist covering global economic trends affecting real estate, property and land. He provides market analysis and thought leadership on key areas related to the world built environment. Jeff also serves as a research co-investigator at the UK Collaborative Centre for Housing Evidence (CaCHE), which takes a housing systems approach to produce evidence and new research to improve housing policy and practice across the UK.Prior to these roles, Jeff was a Global Macro Economist at Morgan Stanley and served on the research staff at the Board of Governors of the Federal Reserve System in Washington DC. He has also worked as a currency strategist at Principal Global Investors in London, as an economist at the US Department of Commerce, and as a renewable energy program manager for the State of Hawaii. Jeff holds degrees in economics from the University of Washington and Johns Hopkins University.
Jeffrey Matsu, 09 Mar 2018
Harnessing the creative energy of tech savvy youth into productive careers in the built environment will help us deliver the industrial transformation that society urgently requires to tackle issues related to the economy, environment and social mobility.
Jeffrey Matsu, 22 Nov 2017
The Chancellor of the Exchequer entered today’s Budget beleaguered by doubt, and the performance he delivered did little to address structural concerns.
Jeffrey Matsu, 20 Jul 2017
The shortage of skills has become a recurring theme for businesses within the built environment and a major constraint on growth according to the latest results of our UK Construction and Infrastructure Market Survey, Q2 2017.
Jeffrey Matsu, 29 Mar 2017
After nearly half a century of matrimony, the UK has made it official — so long EU, hello world. Seeking to be a free agent unencumbered by the need to compromise or "harmonise" the Government has acted decisively to pursue the will of its people.
Economic and political uncertainty appear to be weighing on sentiment, but all things considered, cu...
On Growth in construction workloads pegged by uncertainty
© RICS 2018
© RICS 2018