Updating China's input-output tables series using MTT method and its comparison

Haitao Zheng, Qi Fang, Cheng Wang, Yunyun Jiang and Ruoen Ren

Economic Modelling, 2018, vol. 74, issue C, 186-193

Abstract: The input-output (IO) table is the core of IO techniques. It is widely applied in discovering economic structure, analyzing international trade and accounting for emissions. However, its timeliness limits the popularity of IO data. The paper provides an effective method to forecast and update national IO tables. We apply the matrix transformation technique (MTT)-based forecasting method on China's 42-sector IO tables in 1992–2020 and build up a database named China Input-Output Database (CIOD). Then, we compare the CIOD with other three main databases that also provide China's IO tables. The result shows the CIOD data match the real data by China's National Bureau of Statistics (NBS) best. It demonstrates the effectiveness of our method.

Keywords: Input-output table series; MTT method; Updating; Forecasting; Performance comparison (search for similar items in EconPapers)
JEL-codes: C82 D57 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:74:y:2018:i:c:p:186-193

DOI: 10.1016/j.econmod.2018.05.011

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