An accessible, modern introduction to methods for determining cause and effect in the social sciences. Causality as opposed to correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses real examples that are indisputable catalysts for thought. Causal analysis includes the tools that allow social scientists to determine what causes what. In a chaotic world, causal analysis helps establish the causes and effects of its ongoing actions—for example, the effect (or absence thereof) of minimum wage increases on employment, the impacts of early childhood education on incarceration later in life, or the influence on economic growth from the introduction of mosquito nets against yellow fever in developing areas. Scott Cunningham introduces students and professionals to the methods necessary to arrive at meaningful answers to questions of causality, using a range of modeling techniques and coding guidelines for the programming languages R and Stata.

Pages: 584, Year of Publication: 0216, Dimensions: 14x14cm