Distinguish between weak stationarity and strong stationarity. Explain the methods of testing for stationarity in a univariate time series model.

Introduction Stationarity is a fundamental concept in time series analysis. A stationary time series is one whose properties do not depend on the time at which the series is observed. In econometrics, stationarity ensures that the statistical inferences made about the model are valid. There are two main types of stationarity: weak stationarity and strong […]

Distinguish between weak stationarity and strong stationarity. Explain the methods of testing for stationarity in a univariate time series model. Read More »