Print  Close

Time Series Analysis of Consumer Price Index Weights

Abstract Number:

2562 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Speed 

Participants:

MoonJung Cho (1)

Institutions:

(1) US Bureau of Labor Statistics, N/A

First Author:

MoonJung Cho  
US Bureau of Labor Statistics

Presenting Author:

MoonJung Cho  
US Bureau of Labor Statistics

Abstract Text:

Weight is one of the main components in the Consumer Price Index (CPI) formula. The CPI program revises fixed quantity weights on an annual basis presently. Using graphical displays and correlation analysis, we explore the relationship of CPI series whose weights are from different reference periods, and the relationship among the weights. Our focus is to analyze the seasonal components of CPI series. The initial investigation was through frequency analyses using Discrete Fourier Transform. We further investigate various aspects of CPI series including trend, changes in rates, jump discontinuity, and outliers.

Keywords:

Autocorrelation|Convolution|Discrete Fourier Transform|Periodicity|Trend|Wavelets

Sponsors:

Government Statistics Section

Tracks:

Time Series

Can this be considered for alternate subtype?

Yes

Are you interested in volunteering to serve as a session chair?

No

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.

I understand