PEPA - Programme Evaluation for Policy Analysis

Principal Investigator: Professor Lorraine Dearden


PEPA node's overall objective was to maximise the value of programme evaluation by improving the design of evaluations and improving the way that such evaluations add to the knowledge base.

PEPA research programme aimed to i) advance the understanding of the value of randomised control trials in social science; ii) improve inference for policy evaluation; iii) develop the key relationships between alternative methods for policy evaluation; iv) understand how best to combine quasi-experimental methods with dynamic behavioural models; and v) determine how to measure social networks and then use such data for programme evaluation.


Research projects

Social networks: This research considered the study of networks in relation to programme interventions. In particular, its different strands considered whether certain programmes have spillover effects on one’s network, and whether the effects of programmes vary depending on one’s network.

A reassessment of the Employment Retention and Advancement (ERA) trial project addressed three questions: i) Can non-experimental methods replicate the results of randomised controlled trials (RCTs)? ii) How can we combine results from RCTs with models of labour market behaviour? and iii) How do general equilibrium effects alter estimated impacts of training programmes?

Improving inference for policy evaluation project aimed to develop methods for inference in programme evaluations.

Dynamic models project aimed to develop the tools to go beyond the narrow single evaluation studies and synthesise the lessons learned from a range of evaluations into a better understanding of social and economic behaviour. In this project PEPA researchers developed models of dynamic socio-economic behaviour consistent with the findings from empirical evaluation studies.

Microeconometric methods in policy evaluation project aimed to establish the key relationships between alternative methods for policy evaluation and advance methods where better identification strategies can be devised, and to examine research synthesis - how best to combine the results from different studies.

Using survey data to enhance administrative data for policy relevant research was a collaborative project with LEMMA 3.

Do income and wealth mediate associations between fertility histories and later life health? was a collaborative project with PATHWAYS.



PEPA publications are available in NCRM EPrints archive.



For further information about PEPA work please see the PEPA website.