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Replicating Japan's CPI Using Scanner Data
http://hdl.handle.net/2261/57051
http://hdl.handle.net/2261/57051c4093231-6942-4884-8404-1f62b3693da9
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
wp072.pdf (524.7 kB)
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| Item type | テクニカルレポート / Technical Report(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2015-08-19 | |||||
| タイトル | ||||||
| タイトル | Replicating Japan's CPI Using Scanner Data | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | consumer price index | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | scanner data | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | sampling | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | price rigidity | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | menu costs | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | sale | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | regular prices | |||||
| 資源タイプ | ||||||
| 資源 | http://purl.org/coar/resource_type/c_18gh | |||||
| タイプ | technical report | |||||
| 著者 |
Imai, Satoshi
× Imai, Satoshi× Watanabe, Tsutomu |
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| 著者所属 | ||||||
| 著者所属 | Statistics Bureau of Japan | |||||
| 著者所属 | ||||||
| 著者所属 | Graduate School of Economics, University of Tokyo | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | We examine how precisely one can reproduce the CPI constructed based on price surveys using scanner data. Specifically, we closely follow the procedure adopted by the Statistics Bureau of Japan when we sample outlets, products, and prices from our scanner data and aggregate them to construct a scanner data-based price index. We show that the following holds the key to precise replication of the CPI. First, the scanner databased index crucially depends on how often one replaces the products sampled. The scanner data index shows a substantial deviation from the actual CPI when one chooses a value for the parameter associated with product replacement such that replacement occurs frequently, but the deviation becomes much smaller if one picks a parameter value such that product replacement occurs only infrequently. Second, even when products are replaced only infrequently, the scanner data index differs significantly from the actual CPI in terms of volatility. The standard deviation of the scanner data-based monthly inflation rate is 1.54 percent, which is more than three times as large as that for actual CPI inflation. We decompose the difference in volatility between the two indexes into various factors, showing that it mainly stems from the difference in price rigidity for individual products. We propose a filtering technique to make individual prices in the scanner data stickier, thereby making scanner data-based inflation less volatile. | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 2012～2016年度科学研究費補助金[基盤研究(S)]「長期デフレの解明」(研究代表者 東京大学経済学研究科・渡辺努, 課題番号：24223003) | |||||
| 書誌情報 |
JSPS Grants-in-Aid for Scientific Research (S) Understanding Persistent Deflation in Japan Working Paper Series 巻 072, 発行日 2015-06 |
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| 出版者 | ||||||
| 出版者 | UTokyo Price Project | |||||
| 関係URI | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://www.price.e.u-tokyo.ac.jp/researchdata/ | |||||
