Participation in social programs is often misreported in survey data, complicating the estimation of the effects of those programs. In this paper, we propose a model to estimate treatment effects under endogenous participation and endogenous misreporting. We show that failure to account for...

Reinforcement Learning (RL) is a learning framework in which an agent learns a policy from continual interaction with the environment. A policy is a mapping from states to actions. The agent receives rewards as feedback on the actions performed. The objective of RL is to design autonomous agents...

This paper explores the factors that impact insurance choices. Specially designed survey questions allow one to fully observe the demand tendency by the farmers and partially observe the supply tendency by the insurance company. A joint estimation of insurance decision by both supply and demand...

Previous modelling of the impact of disability on employment has failed to allow for a direct effect rendering some individuals capable of work. A model in which both a capacity and a desire for work are necessary conditions for employment is estimated from a sample of British disabled men....