Question

Answer the following fundamental questions for each time series (exercise 1-10):

i. What is measured? (definition of the time series)

ii. How is it measured? (measurement units)

iii. What is the periodicity? (frequency of the series)

iv. What are the dominant features of the time series? (trends, non-seasonal cycles, seasonal cycles)

Answer 1

a)

Note :

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Time series analysis
is a statistical technique that deals with time series data, or trend analysis. Time series data means that data is in a series of particular time periods or intervals. The data is considered in three types:

Time series data:
A set of observations on the values that a variable takes at different times.

Cross-sectional data:
Data of one or more variables, collected at the same point in time.

Pooled data:
A combination of time series data and cross-sectional data.

b)

Measurement units are

Medical Household income

Saving rate

Case shiller home price  index

Inflation rate

Mortgage rate

c)

Periodicity
A fundamental characteristic of time series data is how frequently the observations are spaced in time. How often the observations of a time series occur is called the sampling frequency or the periodicity of the series.

For example, a time series with one observation each month has a monthly sampling frequency or monthly periodicity and so is called a monthly time series.

Figure E .1: Frequency/Periodicity is 3 years

Figure E. 2:Frequency/Periodicity is 2 years

Figure E.3 : Frequency is 1.6 years

Figure E.4 frequency is 2 years

Figure E,5 frequency is 1.6 years

Figure E 10: Frequency or periodicity is 6 month

d)

Dominant features of time series here are

Seasonal cycles