Time Series Simple Question 1

 Plot of sample ACF and PACF of a monthly time series data on electricity consumption by  domestic sector in a given district, obtained by 1 short term and 1 long term differences  (Yt) for the period  from January 2000 to December 2009 are shown in Fig. 3.1 & Fig. 3.2 respectively.   Part of  the final model fitted to the same data is also shown in Tables 3.1 and 3.2.

Figure 3.1 – Plot of SACF of  the Y(1,12) series

 

Figure   3.2 – Plot of SPACF of the series Y(1,12)

                                         Table 3.1 – Eviews output for the fitted model

Dependent Variable: D(Y,1,12)

Included observations: 107 after adjustments

Convergence achieved after 10 iterations

Backcast: 12 13

Variable

Coefficient

Std. Error

t-Statistic

Prob.

C

0.307937

0.993209

0.310043

0.7571

MA(1)

-0.752623

0.099966

-7.528812

0.0000

SMA(1)

-0.205122

0.038057

-5.389863

0.0000

R-squared

0.784528

    Mean dependent var

0.383178

Adjusted R-squared

0.774615

    S.D. dependent var

69.55677

S.E. of regression

50.41714

    Akaike info criterion

10.70618

Sum squared resid

264356.3

    Schwarz criterion

10.78112

Log likelihood

-569.7804

    F-statistic

48.87842

Durbin-Watson stat

1.985581

    Prob(F-statistic)

0.000000

 

Table 3.2    Breusch-Godfrey Serial Correlation LM Test:

F-statistic

0.204007

    Probability

0.935638

Obs*R-squared

0.862601

    Probability

0.929864

Test Equation:

Dependent Variable: RESID

Method: Least Squares

Date: 05/31/12   Time: 16:18

Presample missing value lagged residuals set to zero.

Variable

Coefficient

Std. Error

t-Statistic

Prob.

C

0.000986

1.008738

0.000978

0.9992

MA(1)

-0.156775

0.205190

-0.764051

0.4466

SMA(1)

0.139314

0.466663

0.298532

0.7659

RESID(-1)

0.011623

0.406263

0.028609

0.9772

RESID(-2)

0.106383

0.164037

0.648530

0.5181

RESID(-3)

0.119299

0.148040

0.805851

0.4222

RESID(-4)

0.091219

0.132894

0.686408

0.4940

  • Specify two common features of the original series with justification based on Fig. 3.1.

  • Interpret the results in Table 3.1

  • Interpret the results in Table 3.2

  • Write down the final model.

  • Specify two short-comings in the selected model.

DETAILED ASSIGNMENT

20210404032142ts_analysis

Powered by WordPress