Question 7: The following regressions are based on the CPI data for the United States for theperiod 1960–2007, for a total of 48 annual observations:1.ACPI, = 0.0334CPI,-1t = (12.37)R? = 0.0703 d=0.3663RSS = 206.652.ACPI, = 1.8662 + 0.0192CPI-1t = (3.27)(3.86)R² = 0.249d = 0.4462RSS = 166.9213.ACPI; = 1.1611 + 0.5344, – 0.1077CPI-1t = (2.37)(4.80)(-4.02)R? = 0.507 d=0.6071RSS = 109.608where RSS = residual sum of squares.Examining the preceding regressions, what can you say about stationarity of the CPI time series?

Stationary Stochastic processes are those process which have a constant mean and constant variance…

Question 7: The following regressions are based on the CPI data for the United States for the period 1960–2007, for a total of 48 annual observations: 1. ACPI, = 0.0334CPI,-1 t = (12.37) R? = 0.0703 d=0.3663 RSS = 206.65 ACPI; = 1.8662 + 0.0192CPI,-I t = (3.27) (3.86) R? = 0.249 d = 0.4462 RSS = 166.921 ACPI, = 1.1611 + 0.5344, – 0.1077CPI,–1 t= (2.37) (4.80) (-4.02) R? = 0.507 d= 0.6071 RSS = 109.608 where RSS = residual sum of squares. Examining the preceding regressions, what can you say about stationarity of the CPI time series? 2. 3.

Question 7: The following regressions are based on the CPI data for the United States for the period 1960–2007, for a total of 48 annual observations: 1. ACPI, = 0.0334CPI,-1 t = (12.37) R? = 0.0703 d=0.3663 RSS = 206.65 ACPI; = 1.8662 + 0.0192CPI,-I t = (3.27) (3.86) R? = 0.249 d = 0.4462 RSS = 166.921 ACPI, = 1.1611 + 0.5344, – 0.1077CPI,–1 t= (2.37) (4.80) (-4.02) R? = 0.507 d= 0.6071 RSS = 109.608 where RSS = residual sum of squares. Examining the preceding regressions, what can you say about stationarity of the CPI time series? 2. 3.

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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