CEA Economic Forecasting Techniques 2

Question 1

Which forecasting method uses a system of simultaneous equations to model the interdependencies among multiple economic variables?

Accepted Answer

Simultaneous Equation Model (SEM)

Answer

Simultaneous Equation Models capture bidirectional relationships among variables using a system of equations estimated jointly.

Question 2

In the context of economic forecasting, what does 'nowcasting' refer to?

Accepted Answer

Estimating the current state of the economy using real-time data

Answer

Nowcasting uses high-frequency real-time data (e.g., weekly jobless claims) to estimate economic conditions for the current or very recent period.

Question 3

The Kalman filter is primarily used in economic forecasting to:

Accepted Answer

Estimate unobserved state variables from noisy observations

Answer

The Kalman filter recursively updates estimates of hidden state variables (e.g., potential output) as new data arrives.

Question 4

A forecast that minimizes the sum of squared errors is said to be optimal under which loss function?

Accepted Answer

Quadratic (squared error) loss

Answer

Quadratic loss penalizes large errors heavily and its minimization yields the conditional mean as the optimal point forecast.

Question 5

When combining forecasts from multiple models, research consistently shows that:

Accepted Answer

Simple averages of forecasts often outperform individual models

Answer

Forecast combination exploits model diversity and reduces variance, frequently beating any single model including the best ex-post model.

(CEA) Certified Economic Analyst Practice Test