Hamilton vs Smith

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For those interested, these descriptions partly capture the differences in breadth, depth and rigor that can be offered under an identical course title:

Econometrics

Applied regression analysis. The specification and estimation of economic models, hypothesis testing, statistical significance, interpretation of results, policy implications. Emphasis on practical applications and cross-section data analysis.

Econometrics

An introduction to econometric methods that are frequently used in applied economic research. Emphasis on interpreting and critically evaluating empirical results and on establishing the statistical foundations of widely used econometric methods. Topics include the classical linear regression model, functional form, dummy explanatory variables, binary choice models, panel data models, heteroskedastic and autocorrelated disturbance terms, instrumental variables estimation and an introduction to simultaneous equation models. Three hours of class and 75 minutes of laboratory.

Note that econometrics represents an essential course for students with an interest in pursuing graduate studies in economics.