Agroforestry definition and practices for policy makers

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It\u27s all in the lens: Differences in views on obesity prevention between advocates and policy makers

Background: Intervention strategies to reduce obesity include policy and environmental changes that are designed to provide opportunities, support, and cues to help people develop healthier behaviors. Policy changes at the state level are one way to influence access, social norms, and opportunities for better nutrition and increased physical activity among the population. Methods: Ten states were selected for a broad variance in obesity rates and number of enacted obesity prevention policies during the years of 2006–2009. Within the selected states, a purely qualitative study of attitudes of childhood obesity policy using semistructured telephone interviews was conducted. Interviews were conducted with state policy makers who serve on public health committees. A set of six states that had more than eight childhood obesity policies enacted were selected for subsequent qualitative interviews with a convenience sample of well-established advocates. Results: Policy makers in states where there was more childhood obesity policy action believed in the evidence behind obesity policy proposals. Policy makers also varied in the perception of obesity as a constituent priority. The major differences between advocates and policy makers included a disconnect in information dissemination, opposition, and effectiveness of these policies. Conclusions: The findings from this study show differences in perceptions among policy makers in states with a greater number of obesity prevention bills enacted. There are differences among policy makers and advocates regarding the role and effectiveness of state policy on obesity prevention. This presents an opportunity for researchers and practitioners to improve communication and translation of evidence to policy makers, particularly in states with low legislation

Editorial - Writing Together: Practitioners, Academics and Policy Makers

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A Data-informed Public Health Policy-Makers Platform

Hearing loss is a disease exhibiting a growing trend due to the number of factors, including but not limited to the mundane exposure to the noise and ever-increasing amount of older population. In the framework of a public health policymaking process, modeling of the hearing loss disease based on data is a key factor in alleviating the issues related to the disease issuing effective public health policies. First, the paper describes the steps of the data-driven policymaking process. Afterward, a scenario along with the part of the proposed platform, responsible for supporting policymaking are presented. With the aim of demonstrating the capabilities and usability of the platform for the policy-makers, some initial results of preliminary analytics are presented in a framework of a policy-making process. Ultimately, the utility of the approach is validated throughout the results of the survey which was presented to the health system policy-makers professionals involved in the policy development process in Croatia

AGEnda for Action: Building a Movement for Elder Women's Advocacy

Based on community listening sessions and interviews, outlines the priority issues for elder women in California and the insights of policy makers and advocates. Offers recommendations and an action agenda for funders, policy makers, and community groups

Increasing Active Living: A Guide for Policy-Makers

Outlines how street layout, zoning, recreation facilities, and public building locations shape residents' physical activity. Suggests state and local policies on planning, land use, transportation, and space design to create activity-friendly communities

Policy Makers Priors and Inflation Density Forecasts

This paper models an inflation forecast density framework that closely resembles actual policy makers behaviour regarding the determination of the modal point, the uncertainty and asymmetry in the inflation forecasts. The framework combines policy makers prior information about these parameters with a standard parametric density estimation technique using Bayesian theory. The combination crucially hinges on an information-theoretic utility function gains of the policy maker from performing the forecast exercise.Monetary Policy, Inflation Targeting, Bayesian Methods

Targeting Inflation under Uncertainty: Policy Makers' Perspective

Monetary policy makers need to build two pillars for their inflation targeting strategy. Firstly, a methodology for producing the central forecast should be developed, since the whole decision process is more easily organised around a model forecast. Secondly, a methodology for dealing with uncertainties is equally important, because a poor evaluation of uncertainties can significantly reduce the quality of monetary policy decisions. Reflecting the further progress of the methodological debate inside the CNB, this paper aims to provide suggestions to policy makers as to which methods could be used to assess uncertainty during the monetary policy decision process. Suggestions for each stage of the process are summarised in the final chapter. These take into account the findings of surveys of three very distinct sources - the economic literature on monetary policy under uncertainty, the managerial literature on decision analysis, and the real-life strategies of five central banks. The lessons from these three surveys are presented in separate chapters.Inflation targeting, uncertainty, decision analysis, pay-off matrix.

How econometric models help policy makers; theory and practice

Frisch and Tinbergen founded the standard framework for finding the optimal economic policy by maximizing the welfare function under constraints supplied by the econometric model. Frisch worried about the reliability of the model and Tinbergen thought that it would be too difficult to specify the welfare function. Looking at current practice in Dutch policy making, both worries are relevant but the solutions proposed by the founders are not very helpful. Rather, the solution is found in applying an iterative trial-and-error procedure interfacing between the policy maker and the model-cum-expert system. The main contributions of the standard framework are its useful set of concepts, the famous order condition for a feasible solution, and the clear definition of role models for the two parties in the interaction.