I’m speaking at Goldsmiths in September, at one of the ESRC Spaces of Evidence seminars which will look at different types of economic evidence, their characteristics and limitations, and their uses in policy-making.
Will Davies, the organiser, has put together a nice lineup including Angus Deaton (Princeton), Suzy Moat (Warwick), Martin Giraudeau (LSE), Tiago Mata (UCL), Zsuzsanna Vargha (Leicester) and Vera Ehrenstein (Goldsmiths).
Here’s the blurb:
Economics and economists have a long history of providing a scientific basis or justification for public policy decisions. Concepts derived from welfare economics, such as ‘market failure’, have provided a language through which politicians and government officials can understand where and why the state might (and might not) intervene in market processes. The efficiency of potential regulation can be tested through the use of models, based on neo-classical assumptions.
However, events such as the financial crisis have thrown a renewed scepticism upon the capacity of orthodox economic theories to adequately model situations. At the same time, a new empiricism has emerged, which makes a bold appeal to data and field trials, which are purportedly less cluttered by normative assumptions about causality and probability. ‘Big Data’ and randomised controlled trials are at the forefront of new efforts to probe economic activity, in search of policies which ‘work’. The distinction between ‘model’ and ‘reality’ is abandoned, and the economy becomes treated as a zone of experimentation and data-mining, such that behavioural patterns can be discerned.
The seminar will explore the implications of these new directions in economic evidence, and ask what they mean for the authority of public policy, how they reconfigure expertise, and what types of epistemological and political assumptions they conceal.
It’s open to all, but you’ll need to register. Full details are here.