Quantitative Economics with R: A Data Science Approach (Paperback, 2020)

Ch 1 Introduction.- Ch 2 R and RStudio.- Ch 3 Getting data into R.- Ch 4 Wrangling and graphing data.- Ch 5 Functions.- Ch 6 Matrices.- Ch 7 Probability and statistical inference.- Ch 8 Causal inference.- Ch 9 Solow model and basic facts of growth.- Ch 10 Causal inference for growth.- Ch 11 Graphing and simulating basic time series.- Ch 12 Simple examples: forecasting and causal inference.- Ch 13 Generalized additive models.- Ch 14 Tree models.

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