A Comparison of Imputation Methods In CPI Calculations Used by IWGPS Organizations and Imputation Methods of robust cellwise outlier and missing data

Author:

ŞEN Elif1ORCID,ARSLAN Olcay2ORCID

Affiliation:

1. TÜİK DİYARBAKIR BÖLGE MÜDÜRLÜĞÜ

2. ANKARA UNIVERSITY

Abstract

In this study, imputation methods used by IWGPS (*) organizations in CPI (Consumer Price Index) calculations in case of missing data are discussed. Depending on the development of technological devices, methods suitable for the demand of collecting data and producing statistics from the field immediately, in a way that can be adapted to the data collection tools of statistics offices have been proposed. While the immediate imputation advantages of the proposed methods are mentioned, the proposed imputation results are compared with the method results used in the current practice and imputation results of cellwise outlier and missing data in the statistical computer programming language. The method3(i_m üd19) proposed to assist the imputation tools used in CPI calculation all over the world and produced from the statistics is intended to provide convenience to all users. It can also be considered as a common weighted imputation method for both cellwise outlier and missing data case.

Publisher

Nicel Bilimler Dergisi based at ESOGU Istatistik Danismanlik Uygulama ve Arastirma Merkezi

Subject

Psychiatry and Mental health,Neuropsychology and Physiological Psychology

Reference29 articles.

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2. Allison, P. D. (2001), Missing Data. Sage Publications, Inc, (Quantitative Applications in the Social Sciences), 104, Pennsylvania, USA.

3. Anonymous (2020), Consumer price index manual concepts and methods. Identifiers: ISBN 978-1-51354-298-0. https://www.ilo.org› publication › wcms_761444. Erişim Tarihi: 15.01.2023.

4. Anonymous (2023), Unit of measure: Monthly rate of change. https://ec.europa.eu/eurostat/databrowser/view/PRC_IPC_G20__custom_4733163/default/table?lang=en Data extracted on 31/01/2023 13:34:36 from [ESTAT] G20 CPI all-items - Group of Twenty - Consumer price index [PRC_IPC_G20__custom_4733163]. Erişim Tarihi: 31.01.2023.

5. Barnett, V. and Lewis, T. (1978), Outliers in statistical data. John Wiley and Sons, 376, New York.

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