1. Consider the bivariate time series records containing monthly U.S. production (prodn) as mea- sured by the Federal Reserve Board Product on Index and the monthly unemployment series (unemp) from astsa pacakge. (1) Compute the spectrum and the log spectrum for each series, and identify statistically significant peaks. (2) Explain what might be generating the peaks. (3) Compute the coherence, and explain what is meant when a high coherence is observed at a particular frequency.
1. Consider the bivariate time series records containing monthly U.S. production (prodn) as mea- sured by the Federal Reserve Board Product on Index and the monthly unemployment series (unemp) from astsa pacakge. (1) Compute the spectrum and the log spectrum for each series, and identify statistically significant peaks. (2) Explain what might be generating the peaks. (3) Compute the coherence, and explain what is meant when a high coherence is observed at a particular frequency.
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter5: Business And Economic Forecasting
Section: Chapter Questions
Problem 5E: A firm experienced the demand shown in the following table. *Unkown future value to be forecast Fill...
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Transcribed Image Text:1. Consider the bivariate time series records containing monthly U.S. production (prodn) as mea-
sured by the Federal Reserve Board Product on Index and the monthly unemployment series (unemp)
from astsa pacakge.
(1) Compute the spectrum and the log spectrum for each series, and identify statistically significant
peaks.
(2) Explain what might be generating the peaks.
(3) Compute the coherence, and explain what is meant when a high coherence is observed at a
particular frequency.
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