Time Series Data

When having time series data, there are many challenges that we can meet. This chapter covers the main issues, and relevant tests, for stationarity, autocorrelation, trends, seasonal effects, and parameter stability. We also use different time series models for forecasting, including autoregressive models and manipulating time series data, and look at cointegration to estimate long-run effects.