This paper presents a systematic review of research papers on nowcasting economic
activity. The study summarizes the state‐of‐the‐art nowcasting approaches and methods …

We consider simple methods to improve the growth nowcasts and forecasts obtained by
mixed-frequency MIDAS and UMIDAS models with a variety of indicators during the Covid …

China's efforts to reduce carbon emissions have stagnated, raising doubts about its
commitment to addressing climate change. This study examines the relationship between …

Search query data reflect users' intentions, preferences and interests. The interest in using
such data to forecast tourism demand has increased in recent years. The mixed data …

The performance of six classes of models in forecasting different types of economic series is
evaluated in an extensive pseudo out‐of‐sample exercise. One of these forecasting models …

High-frequency (HF) monetary surprises around central bank meetings are extensively
employed to jointly identify monetary policy shocks and the so-called 'information shock'. In …

The ordered logit (OLogit) model is a regression model for an ordinal dependent variable.
For a conventional time series OLogit model, both the dependent variable and the …

The present paper evaluates the size and development of the informal economy in
agriculture in 10 new EU member states from 2004–2020. A novel agriculture-tailored …

Mixed-frequency VAR models deal with data sampled at different frequencies while
remaining within the realms of VARs. Estimation of mixed-frequency VARs makes use of …

This paper extends the fixed-b Phillips–Perron unit root test, namely PP (fb), by using a sieve
bootstrap method to deal with serial-correlated errors, especially negative moving average …