An Introduction to policy modeling

This basic manual about policy modeling is built by a large collection of different papers were published in different journals such as the Journal of Policy Modeling (JPM), Contemporary Economics (CE), and other Journals in the last ten years. The main objective of this basic manual about policy modeling is to make a single document to understand better policy modeling in an easy way for academics, students, and policymakers. Basically, this basic manual has twelve chapters that can help to understand easily policy modeling.

This book attempts to present different policy modeling analytical tools for academics and policymakers. This book is divided into twelve chapters with different topics and methodologies can help in the evaluation of different socio-economic problems. The main objective of this book is to offer simple analytical tools can be applied anytime and anywhere. Finally, the same book shows a few applications and cases that can help to understand complex and dynamic socio-economic problems respectively.

Journal of Policy Modeling, 2018

We evaluate the past, present, and future of policy modeling from both qualitative and quantitative perspectives. We do this through an extensive review and analysis of papers published in the Journal of Policy Modeling between 1978 and 2018. Over the years the focus of the policy modeling literature (and the Journal) changed. The changes were in research topics, approaches, techniques, theories, methods, and analytical tools as required for the rigorous analysis of complex and dynamic economic phenomena in policy modeling.

This paper introduces a definition, a way of classifying and a method of evaluating policy modeling. An analytical tool called "Policy Modeling Consistency (PMC-Index)" has been developed for the purposes of evaluating policy modeling. The PMC-Index enables policy-makers and researchers to identify the level of consistency as well as the strengths and weaknesses within any policy modeling. The implementation of the PMC-Index involves the following four basic steps: (i) the use of multi-input-output table; (ii) classification of variables and identification of parameters; (iii) measurement of the PMC-Index; (iv) construction of the PMC-Surface. Through the PMC-Index, this paper promotes multidisciplinary approach to policy modeling. It suggests that various possible effects of any economic policy can be shown using a multi-dimensional graphical means.

Public Affairs and Administration: Concepts, Methodologies, Tools, and Applications

The process to develop sustainable public policies is done by public authorities ensuring the involvement of all stakeholders. ICT is rarely included in most of the today's applied policymaking processes. Other process definitions with a focus on ICT inclusion in policy modeling still exist, but they are not well defined. This chapter gives an overview of the existing policy modeling process types and explains their major foci and how they consider ICT and the practical process in public authorities. Afterwards, based on these descriptions, the general requirements on a new ICT-oriented policy modeling process that allows the inclusion of ICT into a valid and useful process for public authorities is given.

Acta Informatica Medica, 2020

Introduction: NCDs (non-communicable diseases) are considered an important social issue and a financial burden to the health care systems in the EU which can be decreased if cost-effective policies are implemented, along with proactive interventions. The Crowd-HEALTH project recognizes that NCD poses a burden for the healthcare sector and society and aims at focusing on NCDs' public health policies. Aim: The aim of this paper is to present the concept of Public Health Policy (PHP), elaborate on the state-of-the-art of PHPs development, and propose a first approach to the modeling and evaluation of PHPs used in a toolkit that is going to support decision making, the Policy Development Toolkit (PDT). Methods: The policy creation module is a part of the PDT aiming to integrate the results of the rest of the health analytics and policy components. It is the module that selects, filters, and aggregates all relevant information to help policy-makers with the decision making process. The policies creation component is connected to the visualization component to provide the final users with data visualization on different PHPs, including outcomes from data-driven models, such as risk stratification, clinical pathways mining, forecasting or causal analysis models, outcomes from cost-benefit analysis, and suggestions and recommendations from the results of different measured KPIs, using data from the Holistic Health Records (HHRs). Results: In the context of CrowdHEALTH project, PHP can be defined as the decisions taken for actions by those responsible in the public sector that covers a set of actions or inactions that affect a group of public and private actors of the health care system. In the CrowdHEALTH project, the Policy Development Toolkit works as the main interface between the final users and the whole system in the CrowdHEALTH platform. The three components related to policy creation are: (i) the policy modeling component, (ii) the population identification component and (iii) the policy evaluation component. In policy evaluation, KPIs are used as measurable indicators to help prevent ambiguity problems in the interpretation of the model and the structure. Conclusions: This initial Policy creation component design might be modified during the project life circle according to the concept complexity.

This article examines the origins and evolution of policy modeling from a theoretical and technical perspective. This is done through an extensive review and analysis of publications of the journal of policy modeling within a 33-year period (1979–2012). It was observed that at different period in time, economic policy research focused on different national and international issues that invoked different economic practical approaches to facilitate the explanation of the complex and dynamic socio-economic and political phenomena.

A new "strange" research area is emerging, whose name is Policy Modeling, which is an interdisciplinary "umbrella term" for a number of research fields, applications and technologies that can be applied in order to achieve the common goal of improving public decision--making in the age of complexity. It aims at making the policy--making cycle more effective and more intelligent, and at accelerating the learning path embedded in the policy cycle. However, as this area for research is relatively young, data is actually missing so a new interdisciplinary approach is also needed in order to shape this field. In fact, it has been shown that classical policy modeling still relies on classical impact assessment methodologies which have proved ineffective as to their inability to grasp the inherent non--linear, dynamic and complex nature of the problems affecting public governance, as well as to the difficulty to share the modeling 2nd International Symposium "SYSTEMS THINKING FOR A SUSTAINABLE ECONOMY. Advancements in Economic and Managerial Theory and Practice" Rome 23-24, 2014 -Universitas Mercatorum This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3 2

2017

No portion of this document may be reproduced or utilized without the proper attribution to KAPSARC. Policy Utilities Expected results Domain specific utility model Economic views Value models Collective decision-making process Figure 1. Integration framework.