The pros and cons of using Exponential Smoothing and/or ARIMA instead of Time Series Regression to model economic data include: Pro: Exponential Smoothing and ARIMA are easier to interpret. Con: Time series regression provides more flexibility to fit the economic data. Con: Time series regression accounts for autocorrelation in the data, but Exponential Smoothing and ARIMA do not. Pro: Exponential Smoothing and ARIMA can adjust for changing seasonal effects. Exactly two answers are correct. None of the answers are correct