Mastering 'Metrics: The Path from Cause to Effect

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This showed that people receiving more healthcare were not significantly more healthy - which seemed a disappointing result. The first empirical application in Hill, Griffiths, and Lim (2011: 49) explores the correlation between food expenditure and income.

Unfortunately, the book does not offer a more focused discussion of time series, given that this area is where causal reasoning is especially critical in finance. Albeit generally unrelated to finance, these are all fascinating topics for anyone interested in critical policy issues.Showing how masters from around the world use MM to light their students’ way on the path from cause to effect.

Angrist and Jörn-Steffen Pischke, Mastering ’Metrics helps readers avoid the use of brute-force computing power to analyze data.However, my expectations from this book were more - especially since I like the papers written by Angrist etc.