I study optimal monetary policy in an expectational Phillips Curve environment in which private agents optimally choose their amount of information pertinent to predicting policy. ARCH shocks produce interesting information acquisition (IA) dynamics. Under discretion, IA dynamics cause time-varying effectiveness of policy because of the expectational Phillips Curve; policy may be rendered compl...

We study policy advice by several experts with noisy private information and biased preferences. We highlight a trade-off between the truthfulness of the information revealed by each expert and the number of signals from different experts that can be aggregated to reduce noise. Contrary to models with perfectly informed experts, because of this trade-off, full revelation of information is never...

Background There is increasing interest globally in the use of more rigorous processes to ensure that maternal, newborn, and child health (MNCH) care recommendations are informed by the best available research evidence use. The purpose of this study was to engage Nigerian MNCH policy-makers and other stakeholders to consider issues around research to policy and practice interface and to assess ...

Background The importance of evaluating policy processes to achieve health equity is well recognised but such evaluation encounters methodological, theoretical and political challenges. This paper describes how a program theorybased evaluation framework can be developed and tested, using the example of an evaluation of the South Australian Health in All Policies (HiAP) initiative.   Methods A f...

We study an election with two perfectly informed candidates. Voters share common values over the policy outcome of the election, but possess arbitrarily little information about which policy is best for them. Voters elect one of the candidates, effectively choosing between the two policies proposed by the candidates. We explore under which conditions candidates always propose the voters’ optima...