We construct an index for measuring negative economic sentiment in Finland by using news titles collected from the Finnish broadcasting company Yle's archive. Our approach uses supervised machine learning text classification for detecting news titles featuring negative economic sentiment, and...

Apart from the loss of time and money, disputes between public authority and private partner in China’s public-private partnership (PPP) projects are destroying the government’s image of PPP support and the private partner’s investment confidence. This article aims to explore the main...

Despite the driving role of economic growth, SMEs in Vietnam have dealt with many critical constraints relating to insufficiency of internal financing sources and inaccessibility of external funds arising from the crisis period. Based on the unique dataset of Vietnam's SMEs covering the period...

We propose an easy-to-implement framework for combining quantile forecasts, applied to forecasting GDP growth. Using quantile regressions, our combination scheme assigns weights to individual forecasts from different indicators based on quantile scores. Previous studies suggest distributional...

The study investigates the existence and extent of information rigidity in inflation forecasts among 25 developed and 18 developing economies during 2002-2017 period utilizing a survey data set never explored before on this issue. In general, the study finds some evidence of information...

Economy-wide models are an important tool used by fiscal authorities and central banks to support the provision of sound assessment of the economic outlook. The Treasury Macroeconometric Model of Australia ("EMMA") is a framework to support macroeconomic forecasting, and counterfactual policy...

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...

The positive relationship between real exchange rates and natural resource income is well understood and studied. However, climate change and the transition to a lower-carbon economy now challenges this relationship. We document this by proposing a novel news media-based measure of climate...

Economy-wide models are an important tool used by fiscal authorities and central banks to support the provision of sound assessment of the economic outlook. The Treasury Macroeconometric Model of Australia ("EMMA") is a framework to support macroeconomic forecasting, and counterfactual policy...

This paper develops Bayesian econometric methods for posterior inference in non-parametric mixed frequency VARs using additive regression trees. We argue that regression tree models are ideally suited for macroeconomic nowcasting in the face of extreme observations, for instance those produced...