How do governments determine policy priorities? Studying development strategies through spillover networks

Authored by Gonzalo Castaneda, Florian Chavez-Juarez, Omar A Guerrero

Date Published: 2018

DOI: 10.1016/j.jebo.2018.07.017

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

Determining policy priorities is a challenging task for any government because there may be, for example, a multiple objectives to be simultaneously attained, a multidimensional policy space to be explored, inefficiencies in the implementation of public policies, interdependencies between policy issues, etc. Altogether, these factors generate a complex landscape that governments need to navigate in order to reach their goals. To address this problem, we develop a framework to model the evolution of development indicators as a political economy game on a network. Our approach accounts for the-recently documented-network of interactions between policy issues, as well as the well-known political economy problem arising from budget assignment. This allows us to infer not only policy priorities, but also the effective use of resources in each policy issue. Using development indicators data from more than 100 countries over 11 years, we show that the country-specific context is a central determinant of the effectiveness of policy priorities. In addition, our model explains well-known aggregate facts about the relationship between corruption and development. Finally, this framework provides a new analytic tool to generate bespoke advice on development strategies. (C) 2018 Elsevier B.V. All rights reserved.

Tags

Simulation Agent-based modeling networks Public Policy Institutions Model information Economic-growth Sustainable development goals Development indicators Behavioral game