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...

COVID-19, a novel Coronavirus SARS-CoV-2, has wreaked havoc on global financial markets, economies, and societies. For example, this study looks at the impact of COVID-19 on the Chinese economy and its policy responses (fiscal, monetary, and institutional). This study also examines future...

In this paper, we analyse Okun's law - a relation between the change in the unemployment rate and GDP growth - using data from Australia, the euro area, the United Kingdom and the United States. More specifically, we assess the relevance of non-Gaussianity when modelling the relation. This is...

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...

To date, only annual information on economic activity is published for the 16 German states. In this paper, we calculate quarterly regional GDP estimates for the period between 1995 to 2020, thereby improving the regional database in Germany. The new data set will regularly be updated when...

Gross domestic product (GDP) is the key indicator of the health of an economy and can be easily compared across countries. But it has limitations. GDP tells what is going on today, but does not inform about sustainability of growth. The majority of time is spent in home production, yet the value...

Ensuring fiscal sustainability in the Member States of the European Union has become an extremely important goal in the current economic context. The formulation of appropriate policies can lead to fiscal consolidation, and the manifestation of a fiscal shock with direct implications on national...

We propose a novel decomposition of the input-output linkage impact into linkage efficiency and linkage strength. We show that, for standard multisectoral models, countries' GDP growth rates are related to the average total backward linkages in the economy, which we call linkage strength, and to...

Internal epidemiological restrictions and external shocks have had a significant impact on economic growth in Russia. Unfavorable changes in the global market environment increased the impact of external factors on economic dynamic: starting from 2019, the scale of exports in terms of value and...

This paper revisits the relationship between trade and cross-country GDP correlation for 134 countries from 1970 to 2009. We introduce two notions of trade linkages: (i) direct bilateral trade index and (ii) common exposure to "third" countries capturing the role of trade networks . Both are...

The lack of developed financial markets and well-functioning transmission channels assigns monetary aggregates in emerging economies the potential role of nominal anchor, intermediate target, or informational variable for monetary policy. The effectiveness of this approach relies crucially on...

In this paper, we examine the results of GDP trend-cycle decompositions from the estimation of bivariate unobserved components models that allow for correlated trend and cycle innovations. Three competing variables are considered in the bivariate setup along with GDP: the unemployment rate, the...

Unemployment is a major problem in almost all of the countries of south Asia. Unemployment has become the consistent crucial problem in Bangladesh. Economic conditions, demographic structure, women contribution, movement of rural to urban are the major causes of unemployment in Bangladesh....

This paper discusses an empirical model of UK GDP growth in the context of the COVID-19 pandemic. The model estimates that social distancing and lockdown restrictions reduced, on average, annual UK growth by 9.7 percentage points compared to the scenario of no government action. At the other...

Purpose: Gross Domestic Product(GDP) depends on Agriculture, Service, and industry performance. The main aim of the study is to assess the relationship between dependent variable GDP and Independent variables agriculture, industry, and service sector by using the n-variable Regression Model at...

We propose an ensemble learning methodology to forecast the future US GDP growth release. Our approach combines a Recurrent Neural Network (RNN) with a Dynamic Factor model accounting for time-variation in the mean with a Generalized Autoregressive Score (DFM-GAS). We show how this combination...

The growth rate of real GDP per capita, GDPpc, is represented as a sum of two components – a monotonically decreasing economic trend and fluctuations related to population change. The economic trend is modelled by an inverse function of GDPpc with a constant numerator which varies for the...

By employing a panel vector autoregressive approach, we show that containership trade is an important determinant ofGDP growth. Using the full sample of sea-transported container boxes of 135 countries for ten years, we provideevidence that the amount of TEUs transported, both contemporaneously...

In this paper, we analyze the relationship between nominal and real GDP growth for G7 countries for the period 1971 - 2018. A visual inspection of the data indicates the presence of a threshold, above which the structure of the relationship between nominal and real GDP growth rates changes from...

This paper analyzes the evolution of the Lebanese GDP growth rate over the period 1970- 2019 by estimating two kinds of switching models: The Smooth Transition Autoregressive (STAR) model and the model of the Markov process. These models show, on the one hand, asymmetries in the evolution of GDP...

This paper examines the relationship between the logarithms of carbon dioxide (CO2) emissions and real Gross Domestic Product (GDP) in China by applying fractional integration and cointegration methods. These are more general than the standard methods based on the dichotomy between stationary...

Purpose: The study aims to evaluate the different implications of mergers and acquisitions (M&A) and Greenfield foreign direct investment in the transmission mechanism effects on the growth of gross domestic product per capita (GDP per capita) in Indonesia. The origin of the study stems from...