Conditions for outcomes evaluation in public policies: a debate on the role of institutionality

Abstract

<jats:p>Abstract The goals of this analysis are (i) to offer elements of reflection to the actors who design and implement public policies; (ii) to keep the debate on outcomes evaluation alight; (iii) to contribute toward integrating the debate on evaluation to the complexity of actions in the public sector. This theoretical essay researched works published on the subject from 1979 to 2019. The investigation of the approaches offered by the selected authors allowed identifying variables that are relevant to the analysis of public policies. The variables are expressed in the influences of institutional trajectories, actors, and organizational context. The analysis brings the following concluions: (i) the link between institutionality and the capacity to conduct results evaluations in public policies deserves attention in future studies; (ii) the debate on the topic can be strengthened by analyses that consider not only the decisions adopted, but also the rules, norms and strategies that define the political-institutional scene in which public policies are implemented.</jats:p>

Currency rate and the Cycle of Money theory

“…Then, just as medical tests for "blood", money indicates reasonable abnormalities in the economy. The same thing occurs from a different perspective (Béland, 2017;Castaño et al, 2016;Challoumis, 2020b;de Queiroz & Capelari, 2020;Forson, 2020;Hartz & John, 2009;Haskel & Westlake, 2021;Jeon et al, 2020;Khan & Liu, 2019;Nowlin et al, 2020;Schwartz, 2019;Waardenburg et al, 2020).…”

Impact factor of bureaucracy to the tax system

“…Thereupon, the generator produces values for the dependent variables (Challoumis, 2018a(Challoumis, , 2018b(Challoumis, , 2019d(Challoumis, , 2019g, 2020b(Challoumis, , 2020a(Challoumis, , 2021e, 2021b(Challoumis, , 2021d. The extracted values of the generator permit the creation of values, which are the base for comparisons, and for the scrutiny of mathematical equations (Béland, 2017;Bourdin & Nadou, 2018;Burstein, 2020;de Queiroz & Capelari, 2020;Forson, 2020;Hartz & John, 2009;Jeon et al, 2020;Khan & Liu, 2019;Schwartz, 2019;Waardenburg et al, 2020). Thus, is plausible to quantify qualitative data.…”