The Behavioural Insights Team exists to improve people’s lives and communities. We work in partnership with governments, local authorities, businesses and charities, often using simple changes to tackle major policy problems.
Over the last eight years, the Team has grown...
In recent years, public agencies have frequently deployed behavioural insights to generate benefits for society, through encouraging citizens to comply with official requests, and more generally encouraging them to cooperate with public agencies to help deliver outcomes of collective benefit. In parallel,...
This report makes the case for using behavioural insights to improve health and healthcare worldwide. We provide case studies where this approach has already been put into practice successfully, and offer practical advice about how to apply behavioural insights. There are many opportunities to improve...
The purpose of this thesis is to develop an agent-based model (ABM) of a metropolitan housing market. An ABM is a computational model where the micro-level behavior of agents is simulated in order to analyse macro-level emergent phenomena.
Tax salience is a relatively new field of economic research, which emphasises that the way in which taxes are displayed can affect how they influence the economy. In particular, it emphasises that people are more likely to change their behaviour in response to highly visible...
In this paper, a model based on Artificial Neural Network (ANN) has been applied to real estate appraisal. Moreover, an evaluation of ANN performances in estimating the sale price of residential properties has been carried out. Artificial Neural Networks (ANNs) are useful in modelling input-output...
The paper considers how the Schwartz model of helping behaviour can be extended to encompass situations where individuals have the opportunity to cooperate with others, and contribute to the provision of public environmental goods.