This study aims to construct a new monthly leading indicator for Tunisian economic activity and to forecast Tunisian quarterly real GDP (RGDP) using several mixed-frequency models. These include a mixed dynamic factor model, unrestricted mixed-data sampling (UMIDAS), and a threepass regression...

The Omicron wave of the coronavirus has impacted economies worldwide, resulting in a bleak winter. Although restrictions on economic and public life have been less severe than at the beginning of 2021 in many places-mainly due to the progress of vaccination campaigns-and there are prospects of...

We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with existing approaches. We conduct a systematic comparison of their predictive accuracy in settings with different cross-sectional (N) and time (T) dimensions and varying degrees of...

We propose a simple and reproducible methodology to create a single equation forecasting model (SEFM) for low-frequency macroeconomic variables. Our methodology is illustrated by forecasting annual real GDP growth rates for 52 African countries, where the data are obtained from the World Bank...

This paper describes a dynamic factor model for the Maltese economy. The model mainly serves as a tool to timely provide the Central Bank of Malta with nowcasts as well as short-term forecasts of the growth rate of the real gross domestic product, which in turn are used as an input in the...

This paper describes the semi-structural model DORY used by Norges Bank as a link between raw data, sector experts and the core policy model NEMO. While the primary objective in NEMO is to analyse business cycle fluctuations and monetary policy, DORY is used to identify the underlying trends in...

This chapter describes and quantifies fiscal risk in advanced and developing economies. Forecast errors in gross domestic product (GDP) growth explain nearly half of fiscal risk in advanced economies. However, errors in growth forecasts are less important in explaining fiscal risk in low- and...

Der Ukraine-Krieg belastet durch das Emporschnellen der Energiepreise und den Produktionsstopp in wichtigen ukrainischen Zulieferbetrieben unmittelbar die wirtschaftliche Aktivität in Deutschland. Daher werden zwei Szenarien prognostiziert, die die kriegs- und sanktionsbedingten Unsicherheiten...

We forecast economic activity in Argentina on a quarterly real-time basis using dynamic factors models (DFM) (Blanco et al. 2018) and evaluate their forecasting performance during the COVID19 pandemic of 2020. We compare the results of forecasts based on a pre-pandemic estimation of the...

Purpose - In recent years, China's marine industry has maintained rapid growth in general, and marine-related economic activities have continued to improve. The purpose of this research is to analyze the basic situation of China's marine economy development, identify the problems therein,...

In der vorliegenden Studie werden zunächst die weltweiten konjunkturellen Aussichten für das Ende des Jahres 2021 und für die Jahre 2022 bis 2026 dargestellt. Dabei wird folgender Länderkreis betrachtet: Deutschland, Frankreich, Griechenland, Großbritannien, Irland, Italien, Niederlande,...

The aim of this paper is to evaluate current quarterly nowcasts of the gross domestic product in Bosnia and Herzegovina based on the flow of available monthly economic indicators that are available during the same quarter. The nowcasting performance indicates that it is worthwhile to include a...

The importance of our forests is growing. Forest industry has retained its vital position within Finnish economy, and it seems reasonable to assume our forests' value added will contribute to Finland's wealth also far into the future. Of more recent interest is the value of forests being...

Have macroeconomic forecasts grown more or less accurate over time? This paper assembles, examines, and interprets evidence bearing on this question. Contrary to some critics, there are no indications that U.S. forecasts have grown systematically worse, that is, less accurate, more biased, or...

This paper evaluates the performance of Consensus Forecasts of GDP growth for industrialized and developing countries from 1989 to 1998. The questions addressed are (1) How do forecast errors differ across industrialized and developing countries? (2) How well do forecasters predict recessions?...

We review the efficacy of three approaches to forecasting elections: econometric models that project outcomes on the basis of the state of the economy; public opinion polls; and election betting (prediction markets). We assess the efficacy of each in light of the 2004 Australian election. This...

The world economy has been struck by Covid-19 the same way people are struck by a lightning, fast and without warning, leaving nations out to dry on little to no reserves on their crucial supply side. Consequently, over the past year, economies shrunk, production drastically diminished, and...

By employing large panels of survey data for the UK economy, we aim at reviewing linear approaches for regularisation and dimension reduction combined with techniques from the machine learning literature, like Random Forests, Support Vector Regressions and Neural Networks for forecasting GDP...

We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by several forecasting teams and collected by the United States Centers for Disease Control and Prevention during the first and second waves of the epidemic in the United States. We find three main...

We test the predictive accuracy of forecasts of the number of COVID-19 fatalities produced by several forecasting teams and collected by the United States Centers for Disease Control and Prevention during the first and second waves of the epidemic in the United States. We find three main...

In this paper, the Box-Jenkins approach has been used to build the appropriate Autoregressive-Integrated Moving-Average (ARIMA) model to understand the short-term economic impact of coronavirus on India and Indonesia’s economies. The quarterly data for forecasting India and Indonesia's GDP was...

Long-term forecasts are hard, but also indispensable in personal and policy planning. How could long-term predictions of complex phenomena, such as COVID-19 contagion, be enhanced? While much effort has gone into building predictive models of the pandemic, some have argued that early exponential...

This paper evaluates the predictive content of a set of alternative monthly indicators of global economic activity for nowcasting and forecasting quarterly world GDP using mixed-frequency models. We find that a recently proposed indicator that covers multiple dimensions of the global economy...

Using data from the European Central Bank's Survey of Professional Forecasters, we analyze the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the heterogeneity, updating and ex-post performance of predictions for inflation, real GDP...

Federal Open Market Committee (FOMC) decisions rely on economic forecasts from the Federal Reserve Board (FRB) staff. This paper analyzes the forecasts of GDP growth, inflation, and unemployment by the FRB staff and the FOMC from 2009 through 2016. Forecasts for the current year are positively...

Each quarter since 1968 the National Bureau of Economic Research, in collaboration with the American Statistical Association, has been collecting a large amount of information on the record of forecasting in the U. S. economy. This paper is a progress report on a comprehensive study of the...