Income generating functions are statistical tools used to explain income inequality and other economic outcomes and behavior. These functions are often associated with a strict human capital framework, but they need not be. Instead, they may be viewed as a reduced form equation summarizing the relationship between income and various personal and locational characteristics. Following this latter interpretation, we develop the regression and analysis of variance approaches to income generating functions and estimate them empirically using micro-economic data from one low income country, Colombia. Proceeding to increasingly parsimonious specifications of income generating functions, insights are gained into the structure of incomes in Colombia.