We examine the impact of IFRS reporting flexibility on the presentation of income statements after the adoption of IFRS and whether this affects analysts' forecasts. We find that 44.7 percent (42.02 percent) of first-time IFRS adopters exhibit an average marginal increase (decrease) of 2,584...

We show that a simple and intuitive three-parameter equation fits remarkably well the evolution of the gross domestic product (GDP) in current and constant dollars of many countries during times of recession and recovery. We then argue that this equation is the response function of the economy...

The study presents a comprehensive overview of labour market forecasting activities, mostly quantitative, based on multi-sector models, in 12 countries and the European Union. The principal aim of this effort is to provide ideas, lessons and benchmarks for similar forecasting exercises in...

The paper proposes a novel theory-based approach to economic growth prediction. In the economy populated with economically independent decision-makers, the information about their individual preferences, available technologies, and resource constraints is embedded in decision-makers' opportunity...

Using survey forecast data, we study if professional forecasters utilize long-run co-integration relationships among macroeconomic variables to forecast future as postulated in workhorse stochastic growth models. There exists a significant heterogeneity among forecasters, the majority of whom do...

The study was prepared in the framework of the "Priority Project TÁMOP - 2.3.2-09/1: Establishing labour market forecasts and foreseeing structural changes". It presents a comprehensive overview of labour market forecasting activities, mostly quantitative, based on multi-sector models, in 12...

This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...

The aim of this paper is to present novel tests for the early causal diagnostic of positive and negative bubbles in the S&P 500 index and the detection of End-of-Bubble signals with their corresponding confidence levels. We use monthly S&P 500 data covering the period from August 1791 to August...

Using annual time series data on GDP per capita for Rwanda from 1960 to 2017, the study analyzes GDP per capita using the Box – Jenkins ARIMA technique. The ADF tests showed that Rwandan GDP per capita data is I (1). Based on the AIC and the Theil's U, the study presents the ARIMA (3, 1, 1)...