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...

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...

There are no official quarterly real GDP estimates for New Zealand for the period prior to 1977. We develop a seasonally adjusted series for 1947q2 to 2006q2, by linking quarterly observations from two recent official series to temporally disaggregated observations for an earlier time period....

Can green growth policies help protect the environment while keeping the industry growing and infrastructure expanding? This study applies Auto-Regressive Distributed Lag (ARDL) method on the 50-years' time series data, from 1967 to 2015, of Kitakyushu City, Japan, and found mixed evidence for...

This paper focuses on testing non-stationary real-time data for forecastability, i.e., whether data revisions reduce noise or are news, by putting data releases in vector-error correction forms. To deal with historical revisions which affect the whole vintage of time series due to redefinitions,...

We analyze a model for N different measurements of a persistent latent time series when measurement errors are mean-reverting, which implies a common trend among measurements. We study the consequences of overdifferencing, finding potentially large biases in maximum likelihood estimators of the...

We exploit the information in the successive vintages of gross domestic expenditure (GDE) and gross domestic income (GDI) from the current comprehensive revision to obtain an improved, timely measure of U.S. aggregate output by exploiting cointegration between the different measures and taking...

This paper tries to describe the Moroccan business cycles in both terms: classical and growth cycles, and to characterize its main regularities. The purpose of this study is to analyse the importance of the magnitude of the observable macroeconomic times series changes in predicting fluctuations...

We analyze a model for N different measurements of a persistent latent time series when measurement errors are mean-reverting, which implies a common trend among measurements. We study the consequences of overdifferencing, finding potentially large biases in maximum likelihood estimators of the...

This paper illustrates the importance of accounting for cross-correlations among panel data sets in examining stationarity. Strazicich et al. (2004) utilized the LM unit root tests with two trend shifts to examine the income convergence among twenty-one OECD countries. We revisit their analysis...