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Political institutions are an essential component to explain income variation. Brazilian municipalities are characterized by a great contrast in the colonization process and its impacts on the current income level and distribution, and other development aspects. This study analyzes the spatial heterogeneity of the relationship between institutional quality and the municipalities' economic development. We use a spatial moving window method applied to weighted regressions—Geographically Weighted Regression (GWR). We find evidence that good institutions increase income and other variables related to economic development. In addition, the institutional quality influence on economic development measures is distinct across the Brazilian regions. [ABSTRACT FROM AUTHOR]

Knowledge of the determinants of self‐employment income is critical to entrepreneurial development strategies if the development goal is to increase incomes not just employment. Using American Community Survey data, unconditional quantile regression is used to investigate differences in the relationship between entrepreneurial income and an array of individual, industry, and regional characteristics across the self‐employment income distribution. Personal attributes, such as education, race, age, and gender, both explain differences in self‐employment income and vary in importance across the income distribution. Regional agglomerative effects are significantly positive and stronger at the upper end of the self‐employed income distribution. [ABSTRACT FROM AUTHOR]