Although the Covid-19 crisis has shown how high-frequency data can help track economy in real time, we investigate whether it improve nowcasting accuracy of world GDP growth. To this end, build a large dataset 718 monthly and 255 weekly series. Our approach builds on Factor-Augmented MIxed DAta Sampling (FA-MIDAS), which extend with preselection variables. We find that markedly enhances perform...

Nowcasting, that is, forecasting the current economic conditions, is a key ingredient for decision making, but it complex, even more so small open economy, due to higher volatility of its GDP. In this paper, we review required steps, taking Luxembourg as an example. We consider both standard and alternative indicators, used inputs in several nowcasting methods, including various factor machine ...

GDP is very important to be monitored in real time because of its usefulness for policy making. We built and compared the ML models forecast real-time Indonesia's growth. used 18 variables that consist a number quarterly macroeconomic financial market statistics. have evaluated performance six popular algorithms, such as Random Forest, LASSO, Ridge, Elastic Net, Neural Networks, Support Vector ...

We analyzed the spatial distribution of lake and reservoir water quality in China, and the trends from 2005 to 2010, based on monitoring data from 28 large Chinese lakes and reservoirs. We used a comprehensive water pollution index (WPI) to describe water quality and also identified the major pollutants. Using GDP data, we analyzed the relationships between economic factors and water quality. W...

Interferon-γ induced human guanylate binding protein-1(hGBP1) belongs to a family of dynamin related large GTPases. Unlike all other GTPases, hGBP1 hydrolyzes GTP to a mixture of GDP and GMP with GMP being the major product at 37°C but GDP became significant when the hydrolysis reaction was carried out at 15°C. The hydrolysis reaction in hGBP1 is believed to involve with a number of catalytic s...

This paper explores the impact of China’s local government debt on economic growth. This analysis, based on a panel of 31 provinces over 14 years, takes into account a broad range of economic growth determinants as well as various estimation issues including heteroskedascity and omitted variable. The empirical results suggest an inverse relationship between China’s local government debt and eco...

Any economic analysis of climate change policy requires some model that describes the impact of warming on future GDP and consumption. Most integrated assessment models (IAMs) relate temperature to the level of real GDP and consumption, but there are theoretical and empirical reasons to expect temperature to affect the growth rate rather than level of GDP. Does this distinction matter in terms ...