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.
Questions:
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
Questions:
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...
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.