Composite indicator of public goods
Description
The Ordered Weighted Averaging (OWA) operator is a multi-criteria method that has conquered space among researchers in the field of composite indicators. Typically, OWA operator weights are defined by the decision maker. This type of weighting is highly criticized, as decision makers are susceptible to errors and bias in judgment. Some methods have been used to objectively define OWA operator weights. However, none of them is concerned about the quality of the composite indicator. The data published here allow the application of a method that defines the weights of the OWA operator based on two quality parameters of the composite indicator: the ability to capture the concept of the multidimensional phenomenon and information loss. The method can be implemented in Microsoft Excel Solver and has a high degree of flexibility and applicability in problems of a multidimensional nature and a high degree of appropriation by researchers and practitioners in the area.
Files
Steps to reproduce
The four steps necessary to obtain the data to be used in the composite indicator built by OWA are: 1. Access demographic census data (related link). 2. Normalize data. 3. Transfer data matrix. 4. Sort data (from highest to lowest value)