1 · Building likelihoods
Turn a probability model into an objective for observed data.
Maximum Likelihood & Numerical Econometrics
Likelihood construction, score and information, identification, optimization, robust inference, and model comparison.
Course overview
Learn Maximum Likelihood & Numerical Econometrics interactively
This free course uses real Python and statsmodels in your browser. Work through the modules below with explanations, executable examples, interactive controls, and questions.
2 · Score and information
Use first and second derivatives to characterize estimation and precision.
3 · Identification and profile likelihood
Detect observationally equivalent parameters before trusting optimization.
4 · Numerical optimization
Scale, initialize, constrain, and verify nonlinear estimators.
5 · Robust inference and model comparison
Match covariance estimators and comparison tools to the maintained model.