2013RePEc: Research Papers in EconomicsOpen access

Nowcasting Czech GDP in Real Time

Marek Rusnák

Open full text 5 citations

Abstract

In this paper, we employ a Dynamic Factor Model (DFM) to nowcast Czech GDP. Using multiple vintages of historical data and taking into account the publication lags of various monthly indicators, we evaluate the real-time performance of the DFM over the 2005–2012 period. The main result of this paper is that the accuracy of model-based nowcasts is comparable to that of the nowcasts of the Czech National Bank (CNB). Moreover, combining the DFM and the CNB nowcasts results in more accurate performance than in the case of the individual nowcasts alone. Our results also suggest that foreign variables are crucial for the accuracy of the model, while omitting financial and confidence indicators does not worsen the nowcasting performance.

Open-access reader

About this research paper

What this paper is about

In this paper, we employ a Dynamic Factor Model (DFM) to nowcast Czech GDP. Using multiple vintages of historical data and taking into account the publication lags of various monthly indicators, we evaluate the real-time performance of the DFM over the 2005–2012 period. The main result of this paper is that the accuracy of model-based nowcasts is comparable to that of the nowcasts of the Czech National Bank (CNB). Moreover, combining the DFM and the CNB nowcasts results in more accurate performance than in the case of the individual nowcasts alone. Our results also suggest that foreign variables are crucial for the accuracy of the model, while omitting financial and confidence indicators does not worsen the nowcasting performance.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, we employ a Dynamic Factor Model (DFM) to nowcast Czech GDP. Using multiple vintages of historical data and taking into account the publication lags of various monthly indicators, we evaluate the real-time performance of the DFM over the 2005–2012 period. The main result of this paper is that the accuracy of model-based nowcasts is comparable to that of the nowcasts of the Czech National Bank (CNB). Moreover, combining the DFM and the CNB nowcasts results in more accurate performance than in the case of the individual nowcasts alone. Our results also suggest that foreign variables are crucial for the accuracy of the model, while omitting financial and confidence indicators does not worsen the nowcasting performance.

Key concepts: Nowcasting, Dynamic factor, Czech, Real gross domestic product, Gross domestic product, Econometrics, Real-time data, Economic indicator

Related papers

Back to paper searchBrowse research topicsOriginal source
Nowcasting Czech GDP in Real Time — Research Paper | ScholarLens