Japan Society for the Promotion of Science
Program for Constructing Data Infrastructure for the Humanities and Social Sciences
Institute of Economic Research, Hitotsubashi University

Other major databases maintained by the IER, Hitotsubashi University

Tables Constructed with the IER's Support for Custom-Made Aggregate Statistics

The statistical tables prepared with the support for custom-made aggregate statistics can be found here:

More information about the support for custom-made statistics can be found here:

JIP, R-JIP, CIP Database

Basic data constructed and updated by the Institute of Economic Research in collaboration with the Research Institute of Economy, Trade and Industry (RIETI) that make it possible to conduct long-term analyses of Japan's and China's industrial structure, productivity trends, labor and capital input, etc.

Japan Industrial Productivity Database

The JIP Database comprises various types of annual data necessary for estimating industry-level total factor productivity (TFP), including capital service input indices and capital costs, quality-adjusted labor service input indices and labor costs, nominal and real output and intermediate inputs, as well as growth accounting results, including estimates of TFP growth rates.

Regional-Level Japan Industrial Productivity (R-JIP) Database

The R-JIP Database makes it possible to analyze the industrial structure of regions as well as regional disparities in productivity. Specifically, the database provides annual value-added output in current and constant prices, quality-adjusted labor input, and quality-adjusted capital input for all 23 industrial sectors by prefecture, as well as estimation results of differences in TFP levels across prefectures for each industry and of the rate of change in TFP for each industry in each prefecture.

Data for Growth Accounting [XLSX: 7.1MB (in Japanese)]

Dataset (for the period from 1970 to 2009) used for the prefecture-level growth accounting presented in Figure 5 of the RIETI Discussion Paper 13-J037 "Construction of the Regional-Level Japan Industrial Productivity (R-JIP) Database and Analysis of Regional Productivity Gaps" (in Japanese). All data except for capital cost and nominal value-added shares are presented as growth rates (annual rates in percent). In the R-JIP 2017 update the data were extended to 2012.

Prefecture-Level Social Infrastructure Data [XLSX: 273KB (in Japanese)]

This database provides data on social infrastructure in the Cabinet Office's "Nihon no Shakai Shihon 2012 [Social Infrastructure in Japan 2012]" (in Japanese) that is not included in any of the sectors in the R-JIP Database. Specifically, the data cover social infrastructure in the form of roads without tolls, afforestation, embankments, breakwaters, and city parks, defined in a manner consistent with the R-JIP Database and organized by prefecture. Taking the estimates (on a net capital stock, straight line depreciation basis) from "Nihon no Shakai Shihon 2012," the following adjustments were made: (1) data were extended to 2012 using simple extrapolation, (2) figures were converted to 2000 prices, and (3) roads were divided into toll roads and roads without toll (in the R-JIP Database, toll roads fall under transportation and communications, while roads without toll fall under social infrastructure). For details, see "Nihon no Chiiki-betsu Seisansei to Kakusa - R-JIP Database no Kochiku ni yoru Sangyo-betsu Bunseki [Regional Productivity and Inequality in Japan: An Industry-Level Analysis Using the R-JIP Database" (University of Tokyo Press, 2018).

Database for the Analysis of Prefectural Differences in Labor Productivity and Growth Accounting [XLSX:143KB (in Japanese)]

Database used in the analysis of prefectural differences in labor productivity in benchmark years from 1955 onward presented in Chapter 5, Figures 5.1 and 5.2, and in the prefecture-level growth accounting in Chapter 5, Figure 5.3, in Kyoji Fukao, Jean-Pascal Bassino, Tatsuji Makino, Ralph Paprzycki, Tokihiko Settsu, Masanori Takashima, and Joji Tokui, "Regional Inequality and Industrial Structure in Japan: 1874-2008" (Economic Research Series No. 44, Institute of Economic Research, Hitotsubashi University, March 2015). For details of the construction of the database, see Appendixes 3 and 4 of that volume. Note that this dataset is a simplified version of the R-JIP 2012 Database and therefore not identical to the R-JIP 2012 and 2014 Databases.

China Industrial Productivity (CIP) Database

Spanning the period from 1980-2010, the CIP Database consists of input-output table time series (in both nominal and real terms), investment and capital stock estimates, and capital and labor input indices for China for 37 sectors, making it possible to make comparisons with Japan.

Japanese Study of Aging and Retirement (JSTAR)

JSTAR is a panel survey of elderly people aged 50 or older. The survey collects information on the economic, social, and health conditions of elderly people and is designed to ensure comparability with similar surveys in advanced countries abroad. The data from this survey make it possible to examine the differences and similarities between the elderly in rapidly aging Japan and other countries around the world.

2012 Database of Major Shareholders and Executives

When analyzing listed companies, the composition of executives and shareholders provides very important information. However, in existing databases, such information is available only for the period from 1980 onward, so that it is not possible to conduct analyses for the high-speed growth era before then. Based on information such as securities reports, this database records the composition of executive and shareholders. By linking this database to commercially available databases, it is possible to compile information on the major shareholders and executives of all listed companies from 1950 onward (1962 in the case of executives).

Consumption-related indicators based on point-of-sale (POS) data

The SRI-Hitotsubashi Consumer Purchase Indices are calculated based on the point of sale (POS) data of 4,000 stores, such as supermarkets, convenience stores, drug stores, and large retail stores. In the SRI-Hitotsubashi Consumer Purchase Indices, changes in consumer expenditures are decomposed into the contribution of changes in prices, changes in quantities, and product turnover. Specifically, changes in the "Consumer-purchase Expenditure Index" are decomposed into the "Consumer-purchase Price Index," which shows changes in the prices of consumer purchases, the "Consumer-purchase Quantity Index," which shows changes in the quantity of consumer purchases, and the "Consumer-purchase Turnover-effect Index," which shows the effect of product turnover in consumer purchases.