ABSTRACT
This chapter reviews different approaches and techniques utilized in time series analysis. Three time series were chosen as examples so as to illustrate the outcome of automatic procedures and issues related to them namely, Israeli Electricity Consumption Data, Israeli Tourism Data, and US Retail Sales Data. These three time series are special in the sense that they display highly seasonal fluctuations. These time series are filtered by X-12-ARIMA and TRAMO/SEATS respectively. The chapter discusses the capabilities of the seasonal adjustment programs. The approach of this analysis is simple and intuitive. Its aim is to help the user in understanding the overall picture when dealing with adjustment programs and utilize them with judgment. The chapter also presents case studies, which demonstrates different capabilities of seasonal adjustment programs; and possible approaches to forecasting, estimating and testing the relationships between macroeconomic time series such as Cointegration and Granger Causality.
