A teacher told my mother that I would never become successful, which illustrates the difficulty of long-run forecasting on inadequate data.

Rob Engle and I are concerned with extracting useful implications from economic data, and so the properties of the data are of particular importance.

A potentially useful property of forecasts based on cointegration is that when extended some way ahead, the forecasts of the two series will form a constant ratio, as is expected by some asymptotic economic theory.

I think it is true to say that I am not the first Nobel Prize winner in economics to have little formal training in economics.

I love science fiction.

When air conditioning, escalators, and advertising appeared, shopping expanded its scale, but also limited its spontaneity. And it became much more predictable, almost scientific. What had once been the most surprising became the most manipulated.

I think failing the qualifying or the 11-plus actually hurt me more than I realised. After I'd become a professor of physics at the Open University, I suddenly thought, 'This is a bit silly.' So I suddenly became much more open about it. But I think probably I was hurt by the failure and didn't want to talk about it.

Science and the many benefits that science has produced have played a crucial part in our history and produced vast improvements to human welfare.