This work aimed to reproduce the methodology of Carl Benedikt Frey and Michael Osborne of 2017 for estimating the automation probabilities of occupations in Brazil. These estimates are potentially important for professionals and policymakers because they can guide the career of a worker, as well...

This paper presents a discussion on several econometric models for estimating parametric models in the presence of spatial dependence with cross-section data. Initially, we cover models for spatial dependence with spatial lags of the response variable and spatial lags of the residues, and...

This paper presents a new methodology for hierarchical spatial clustering of contiguous polygons, based on a geographic coordinate system. The proposed algorithm is built upon a modification of traditional hierarchical clustering algorithm, commonly used in the multivariate analysis literature....

The segregation indices measure how uneven is the distribution of a certain group within a geographical area. This article deals with segregation indices and presents the methodology of how they are derived and functionality of each. Then an application is made for the formal labor income for...

This paper studies a methodology for hierarchical spatial clustering of contiguous and homogeneous polygons, based on a set of binary variables. The proposed algorithm is built upon a modification of traditional agglomerative hierarchical clustering algorithm, commonly used in the multivariate...

This paper presents an exercise that estimates a tax function for the recurrent tax on immovable property by stochastic frontier analysis with panel data for the Brazilian municipalities during 2002-2014. It is used two procedures to deal with heterogeneous observations. Firstly, an adaptation...

This paper verified the predictive performance of probabilistic record linkage algorithms for the integration big sized real databases, evaluating the effects of the blocking key definition, as well as string metric functions and phonetic code pairing algorithms with respect to the prediction's...

This paper investigated the usage of artificial intelligence and text mining techniques for classification of court judgments and discussed potential alternative applications in formulation and evaluation of public policies. Besides, we built a survey of studies related to Jurimetry based on the...

This article verifies the impact of both federal transfers to states and income inequality over imigration. The innovation here is the use of aggregate data to verify the impact of public policy over migration. The econometric results suggest a positive effect of federal transfers to states over...