This paper explores the effects of monetary policy on economic growth, focusing on key economic indicators-namely, the exchange rate, interest rates, and the broad money supply (M3). To capture a comprehensive view of each country's economic landscape, additional variables such as inflation and...

The article presents a method for balancing Gross Domestic Product (GDP) when the measurements of its components are distorted by the existence of the shadow economy. Our proposal to measure GDP is based on a multiple ultrastructural model (MUM), where the explanatory variables are subject to...

This research investigates the complex interplay between carbon dioxide emissions, population dynamics, migration patterns, foreign direct investment, and gross domestic product in Vietnam. The paper uses the unrestricted fixed and random panel data method. The data is collected from the World...

This study has a twofold objective. The first one is an assessment of the efficiency of monetary and capital-based macroprudential policy, defined as imposing less interest costs to loan borrowers (nonfinancial corporations and households). The second objective of this paper is the assessment of...

This study aims to explore the relationship between macroeconomic factors and the decision to file an anti-dumping (AD) initiation, focusing on the post-WTO period from 1995 to 2022 for both reporting and targeted countries. We analyze the 20 most frequent users of the AD mechanism and the 20...

This note provides extensive evidence on the persistence properties of real GDP in 17 European countries and in the US over the period 1960-2023 using a fractional integration framework. The analysis suggests that in all cases shocks have permanent effects on the level of real GDP. This is...

This study examines the characteristics of Indonesia's scholarly output and its alignment with national development goals. This research focuses on three key questions: how Indonesia's research output can be categorized into driver, basic, specialized, and declining clusters; the extent to which...

This research aims to identify the dynamics of eco-innovations in Kazakhstan's small and medium-sized business sectors, as well as to assess the practical signifcance of these innovations for both ecology and society as a whole. To achieve this objective, a combination of methods was employed,...

I use Bayesian VARs with stochastic volatility to forecast global temperatures and sea level and ice cover in the Northerin emisphere until 2010, by exploiting (i) their long-run equilibrium relationship with climate change drivers (CCDs) and (ii) the relationship between world GDP and...

Measurement errors in macroeconomic aggregates such as GDP have been widely lamented, particularly in low-income contexts. This study investigates the reliability of one component of national accounts, agricultural sector output. Focusing first on the case of Mozambique, we use a series of 12...

This paper examines the relationship between unemployment rate, inflation rate and economic output in Britain over 34 years. It utilizes a range of different time series techniques, including the ADF and PP unit root test, the autoregressive distributed lag model to cointegration (ARDL model)....

This paper focuses on identifying useful indicators for nowcasting GDP in Sweden. We analyze 35 monthly indicators spanning the period from 1993 to 2023. Additionally, we evaluate the group-wise performance of these indicators. The analysis is conducted using mixed-data sampling (MIDAS) and...

The paper compares two forecasts of Slovak GDP, the first with high-frequency data and the second without them. We utilize the last observation from the economic activity index acting as a short-term GDP forecast. We use data from 2000 to 2024 in weekly frequencies and have 27 variables related...

This study involves tasking ChatGPT with classifying an "activity sentiment score" based on PMI news releases. It explores the predictive power of this score for euro area GDP nowcasting. We find that the PMI text scores enhance GDP nowcasts beyond what is embedded in ECB/Eurosystem Staff...

This study involves tasking ChatGPT with classifying an "activity sentiment score" based on PMI news releases. It explores the predictive power of this score for euro area GDP nowcasting. We find that the PMI text scores enhance GDP nowcasts beyond what is embedded in ECB/Eurosystem Staff...

We construct estimates of quarterly GDP for Ireland from 1950, linking to official data from 1995 onward, using a novel factor-augmented Chow-Lin interpolation. Compared to the only alternative series (OECD, 2025), our procedure exploits the variation in a large number of official quarterly...

This paper explores the application of machine learning (ML) techniques to nowcast the monthly year-over-year growth rate of both total and non-primary GDP in Peru. Using a comprehensive dataset that includes over 170 domestic and international predictors, we assess the predictive performance of...

The main aim of this paper is to examine the dynamic relationship between the three pillars of the economy: unemployment, inflation, and GDP in Ethiopia using the cross-wavelet transform (XWT) analysis, the multivariate Student-t generalized autoregressive score (GAS) model, and the...

This paper presents a weekly GDP indicator for Switzerland, which addresses the limitations of existing economic activity indicators using alternative high-frequency data created in the wake of the COVID-19 pandemic. The indicator is obtained from a Bayesian mixed-frequency dynamic factor model...

We construct the first estimates of U.S. county nominal and real GDP by broadly defined industrial sectors from 1870 to 2018. Counties tended to converge from 1870 until 1970, but subsequently grew apart. Falling inequality between states explains most of the fall in county inequality from 1870...

This study explores the relationship between income inequality, economic growth, and unemployment in Greece from 2003 to 2020, encompassing key economic phases: pre-crisis, crisis, memoranda, and post-memoranda. The aim is to analyze how economic growth (logarithm of GDP-LOGGDP) and unemployment...