Learning objectives: Describe linear and nonlinear time trends. Explain how to use regression analysis to model seasonality. Describe a random walk and a unit root.
21.1.1. The following seasonal dummy model estimates the quarterly growth rate (in percentage terms) of housing...
Learning objectives: Describe linear and nonlinear trends. Describe trend models to estimate and forecast trends
699.1. Consider the following quadratic trend model:
Which of the following functions correctly characterizes this trend?
a. Tr = 10 + 0.3*TIME + 0.3*TIME^2
b. Tr = 10...