Considering the CBE through NABE and trying to gauge how heavy the quantitative content is. I have an economics degree but it's been 8 years since I've done formal econometrics or macro modeling. I work in industry now doing mostly applied analysis with Excel and Tableau.
The exam covers economic analysis, forecasting, and business applications. I'm solid on the conceptual side but I'm worried the quant questions will expose how rusty my regression and time series skills are.
How much actual math and statistics does the CBE test vs conceptual economics understanding?
The quant content is present but not at the level of an econometrics course. You need to understand regression interpretation — coefficients, R-squared, significance — but you won't be running regressions by hand. Applied comprehension is what's tested.
Forecasting methodology questions are more about choosing the right approach than computing it. Know when you'd use time series decomposition vs regression-based forecasting vs leading indicator models. Conceptual judgment is the skill tested.
8 years out from econometrics is fine. Spend a few hours reviewing regression interpretation basics — how to read a coefficient, what multicollinearity means, how to interpret a lagged variable — and you'll be prepared for what the exam actually asks.
Business cycle analysis and economic indicators are a significant section. Know what GDP, CPI, PCE, unemployment, and ISM are measuring, how they're constructed, and what their limitations are as forecasting tools.
Passed the CBE back in 2021, so take this with some time-distance in mind — but honestly, the quant content is probably not what trips most people up. The econometrics they test is more conceptual than computational. You're not running regressions by hand; they want you to know what OLS assumptions mean, when a model is misspecified, that sort of thing. Your econ degree will carry you further than you think.
What caught me off guard was the breadth of the applied economics sections — labor markets, industry analysis, business cycle indicators. I was also in an applied role and assumed that stuff would feel intuitive. Some of it did. But the exam expects you to know specific frameworks and terminology precisely, not just roughly. If you've been doing applied analysis for years you probably have solid instincts, but you'll want to make sure those instincts are mapped to the right vocabulary. Running through a cbe practice test early helped me find the gaps between "I kind of know this" and "I actually know this."
Eight years out from formal econometrics is fine. Brush up on the core concepts — unit roots, autocorrelation, hypothesis testing logic — but don't spiral into graduate-level review. The exam is professional-level, not academic. Focus more time on the economic analysis and forecasting content than the econometrics and you'll be in better shape.