Characteristics and implications of Chinese macroeconomic data revisions

被引:3
|
作者
Sinclair, Tara M. [1 ,2 ]
机构
[1] George Washington Univ, Dept Econ, 2115 G St NW,Monroe Hall 340, Washington, DC 20052 USA
[2] George Washington Univ, Elliott Sch Int Affairs, 2115 G St NW,Monroe Hall 340, Washington, DC 20052 USA
关键词
China; Real-time data; Data revisions; Forecasting; Real GDP; Real GNP; REAL-TIME DATA; PERIOD ECONOMIC-GROWTH; AUTOREGRESSIVE MODELS; OUTPUT GROWTH; DATA SET; GDP; STATISTICS; FORECASTS; ACCURATE; QUALITY;
D O I
10.1016/j.ijforecast.2019.04.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
The research examining macroeconomic data for developed economies suggests that an understanding of the nature of data revisions is important both for the production of accurate macroeconomic forecasts and for forecast evaluation. This paper focuses on Chinese data, for which there has been substantial debate about data quality for some time. The key finding in this paper is that, while it is true that the Chinese macroeconomic data revisions are not well-behaved, they are not very different from similarly-timed U.S. macroeconomic data revisions. The positive bias in Chinese real GDP revisions is a result of the fast-growing service sector, which is notably hard to measure in real time. A better understanding of the revisions process is particularly helpful for studies of the forecast errors from surveys of forecasters, where the choice of the vintage for outcomes may have an impact on the estimated forecast errors. (C) 2019 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:1108 / 1117
页数:10
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