Hands-on intermediate econometrics using R : templates for learning quantitative methods and R software

Production function and regression methods using R -- Univariate time series analysis with R -- Bivariate time series analysis including stochastic diffusion -- Utility theory and empirical implications -- Vector models for multivariate problems -- Simultaneous equation models -- Limited dependent variable (GLM) models -- Consumption and demand : kernel regressions and machine learning -- Single, double, and maximum entropy bootstrap and inference -- Generalized least squares, VARMA, and estimating functions -- Box-Cox, Loess, projection pursuit, quantile and threshold regression -- Miscellany : dependence, correlations, information entropy, causality, panel data, and exact stochastic dominance.