Econometrics
The methods behind every White Globe working paper — taught by the researchers who use them the same week, on live datasets rather than textbook examples.
What the three units cover
Adapted from MIT OpenCourseWare's 14.30 Introduction to Statistical Methods in Economics.
Probability Distributions & Random Variables
Sets and events; probabilities and counting rules; conditional probability and independence; Bayes' theorem; discrete and continuous random variables; probability and cumulative distribution functions; joint and marginal distributions.
Expectations & Transformations
Functions of one and several random variables; order statistics and expectations; median, quantiles, and variance; covariance and conditional expectations; special distributions; the law of large numbers.
Estimation & Hypothesis Testing
The central limit theorem; estimators, bias, and consistency; constructing estimators; confidence intervals; hypothesis tests.
Who this is for
Everyone — from complete beginners to those looking to deepen existing knowledge. The only prerequisite is an interest in economics.