Characteristics and implications of Chinese macroeconomic data revisions

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.     

Forecasting GDP growth with NIPA aggregates: In search of core GDP

In addition to GDP, which is measured using expenditure data, the U.S. national income and product accounts (NIPAs) provide a variety of measures of economic activity, including gross domestic income and other aggregates that exclude one or more of the components that make up GDP. Similarly to the way in which economists have attempted to use core inflation—which excludes volatile energy and food prices—to predict headline inflation, the omission of GDP components may be useful in extracting a signal as to where GDP is going. We investigate the extent to which these NIPA aggregates constitute “core GDP.” In an out-of-sample forecasting exercise using a novel real-time dataset of NIPA aggregates, we find that consumption growth and the growth of GDP excluding inventories and trade have historically outperformed a canonical univariate benchmark for forecasting GDP growth, suggesting that these are promising measures of core GDP growth.     

人口规模、经济增长与碳排放:经验证据及国际比较

根据国际能源署（IEA）公布的1971—2008年碳排放数据,探讨中国与典型发达国家、发展中国家（G8＋5）人口规模、经济增长与碳排放变化的差异性。结果表明：随着GDP增长,中国碳排放快速增长,人均碳排放已超过世界平均水平;单位GDP碳排放持续降低,但依然高于世界平均水平。利用秩相关系数检验人均GDP与单位GDP碳排放,发现7个发达国家均呈显著下降趋势,发展中国家南非、中国呈显著下降趋势,巴西、印度、墨西哥呈上升趋势但并不显著;人均GDP与人均碳排放秩相关系数表明,7个发达国家中,美国、法国、德国、英国呈显著下降趋势,加拿大呈不显著上升趋势,日本、意大利呈显著上升趋势;5个发展中国家处于工业化快速发展阶段,能源消费急剧增加,随着人均GDP增长,人均碳排放均呈显著上升趋势。基于此,归纳出世界主要发达国家和发展中国家人口增长、经济增长与碳排放变动的三种模式。     

经济增长和产业结构对广西财政收入影响的实证分析

文章通过建立回归模型,分析经济增长和产业结构对广西财政收入的影响。分析得出经济增长和产业结构对广西财政收入有着显著影响,据此提出对策和建议。     

Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis

We consider simple methods to improve the growth nowcasts and forecasts obtained by mixed-frequency MIDAS and UMIDAS models with a variety of indicators during the Covid-19 crisis and recovery period, such as combining forecasts across various specifications for the same model and/or across different models, extending the model specification by adding MA terms, enhancing the estimation method by taking a similarity approach, and adjusting the forecasts to put them back on track using a specific form of intercept correction. Among these methods, adjusting the original nowcasts and forecasts by an amount similar to the nowcast and forecast errors made during the financial crisis and subsequent recovery seems to produce the best results for the US, notwithstanding the different source and characteristics of the financial crisis. In particular, the adjusted growth nowcasts for 2020Q1 get closer to the actual value, and the adjusted forecasts based on alternative indicators become much more similar, all unfortunately indicating a much slower recovery than without adjustment, and very persistent negative effects on trend growth. Similar findings also emerge for forecasts by institutions, for survey forecasts, and for the other G7 countries.     

GDP nowcasting: application and constraints in a small open developing economy

Despite data limitations, an attempt is made to find out if a GDP nowcasting model can provide reliable forecasts for a small open economy. Two competing Bayesian vector autoregressive models are tested rigorously to obtain the optimal model by minimizing in-sample forecasting errors. The main finding of this study is that GDP nowcasting can produce reliable results for a small open economy despite the unavailability of sufficient data sets and the lack of high frequency indicators.     

Oil Crisis,Market Reforms,and Human Welfare： An Econometric Analysis of the Australian Economy

As an active trader in international crude oil and petroleum product markets, Australia＇s human welfare is affected by oil crisis and contagion from the perspectives of economic growth, income inequality, and environmental sustainability. This paper investigates the impacts of oil price shocks upon Australia＇s gross domestic product （GDP） growth, Gini coefficients, and carbon dioxide emissions per capita from 1970 to 2012 with yearly frequency. Hypotheses concerning whether Australia＇s economic immunity against oil crisis is affected after the deregulation of oil market and whether endogenous oil price shocks account for more variations in human welfare than exogenous oil price shocks are tested. The methodologies include a theoretic model and a series of econometric tests. For the short-run dynamics, oil price is integrated into the model both linearly and non-linearly. Oil price shocks are categorized into exogenous and endogenous shocks. The conclusions are that inflated oil prices exert mainly non-linear negative impacts upon human welfare indicators and exogenous shocks induce endogenous shocks through labor price, Consumer Price Index （CPI）, interest rate, and exchange rate. For the long-run equilibrium, non-linear shocks＇ effects decay more slowly than linear shocks and the impacts of endogenous shocks last longer than that of exogenous shocks. Finally, oil market policies are evaluated and proposed.     

我国M2现状及未来趋势浅析

对我国当前M2快速增长的原因,从经济发展、居民储蓄和外汇储备等三个方面进行深入分析,并在此基础上对未来发展趋势进行预测分析。     

The effects of economic growth on income inequality in the US

The paper analyzes the relation between growth and income inequality in the US during the post-war years (1953–2008). We show that the income of the top income groups is more sensitive to growth, defined broadly as current growth and changes in expectations of future growth, compared to the income of the lower income groups. We provide evidence that this increased sensitivity arises for two reasons: (a) the top income groups receive a large portion of their income from wealth, which is more sensitive to growth than labor income and (b) the top income groups receive a large portion of their labor income in the form of pay-for-performance (equity compensation), which is also sensitive to growth. Consequently, we conclude that growth and income inequality are positively associated.     

High-frequency credit spread information and macroeconomic forecast revision

We examine whether professional forecasters incorporate high-frequency information about credit conditions when revising their economic forecasts. Using a mixed data sampling regression approach, we find that daily credit spreads have significant predictive ability for monthly forecast revisions of output growth, at both the aggregate and individual forecast levels. The relationships are shown to be notably strong during ‘bad’ economic conditions, which suggests that forecasters anticipate more pronounced effects of credit tightening during economic downturns, indicating an amplification effect of financial developments on macroeconomic aggregates. The forecasts do not incorporate all financial information received in equal measures, implying the presence of information rigidities in the incorporation of credit spread information.