Statistics for Economics

1: Introduction 2: Conditional probabilities, joint probabilities, and the chain rule of probability 3: Joint probability distributions and Bayes theorem 4: Independent random variables 5: Combinations and permutations 6: Sample averages 7: Expectations and population averages 8: Continuous random variables 9: Conditional expectations and the law of iterated expectations 10: Shapes of distributions: variations, skew and kurtosis 11: Correlations and covariances 12: Simple distributions: Uniform and binomial distributions 13: The Normal Distribution 14: Introduction to estimators 15: What makes a good estimator? Efficiency and consistency of estimators 16: An introduction to statistical testing 17: Errors in statistical testing 18: The t-distribution, confidence intervals, and more on testing 19: Testing relating to proportions of the population 20: Further testing: equality of means 21: Distributions derived from the Normal Distribution 22: Analysis of Variance, or ANOVA 23: Introduction to Ordinary Least Squares 24: Is the OLS estimator unbiased and consistent? 25: Causes of bias and inconsistency in OLS 26: Constructing the variance of the OLS estimator 27: Testing hypotheses with OLS 28: Multivariate regressions 29: Dummy variables and F-tests 30: Logs, polynomials and other non-linear relationships 31: Causality and estimating causal relationships 32: A brief introduction to big data

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• Economia estatística