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Nowcasting Australia's gross domestic product

Grant, Angelia L. - 2018

indicators are used to nowcast each expenditure component of GDP. The nowcasting framework is found to be a valuable tool in …

Persistent link: https://www.econbiz.de/10012126572

Nowcasting economic growth in India : the role of rainfall

Iyer, Tara; Gupta, Abhijit Sen - 2019

2018. The DFM methodology offers a powerful and tractable means of nowcasting economic growth while accounting for mixed … content for GDP growth in India, a novel result from the viewpoint of the existing nowcasting literature. …

Persistent link: https://www.econbiz.de/10012110450

Weekly economic activity: measurement and informational content

Wegmüller, Philipp; Glocker, Christian; Guggia, Valentino - 2021 - This version: April 1, 2021

monthly indicators in nowcasting GDP growth. These insights should help improve recently developed high-frequency indicators. …

Persistent link: https://www.econbiz.de/10012511470

Tracking India Growth in Real Time.

Bhattacharya, Rudrani; Pandey, Radhika; Veronese, Giovanni - 2011

approaches to the short term forecasting (nowcasting) of real GDP growth in India and evaluates methods to optimally gauge the …

Persistent link: https://www.econbiz.de/10009209672

Nowcasting Norway

Luciani, Mattéo; Ricci, Lorenzo - European Centre for Advanced Research in Economics and … - 2013

We produce predictions of the previous, the current, and the next quarter of NorwegianGDP. To this end, we estimate a Bayesian Dynamic Factor model on a panel of 14variables (all followed closely by market operators) ranging from 1990 to 2011. By meansof a real time forecasting exercise we show...

Persistent link: https://www.econbiz.de/10010826345

Low Frequency and Weighted Likelihood Solutions for Mixed Frequency Dynamic Factor Models

Blasques, Francisco; Koopman, Siem Jan; Mallee, Max - Tinbergen Instituut - 2014

The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...

Persistent link: https://www.econbiz.de/10011256800

Business cycle dating and forecasting with real-time Swiss GDP data

Glocker, Christian; Wegmüller, Philipp - 2017

We develop a small-scale dynamic factor model for the Swiss economy based on an appropriately selected set of indicators. The resulting business cycle factor is in striking accordance with historical Swiss business cycle fluctuations. Our proposed model demonstrates a remarkable performance in...

Persistent link: https://www.econbiz.de/10011732586

Low frequency and weighted likelihood solutions for mixed frequency dynamic factor models

Blasques, Francisco; Koopman, Siem Jan; Mallee, Max I. P. - 2014

Persistent link: https://www.econbiz.de/10010391543

Slow expectation-maximization convergence in low-noise dynamic factor models

Opschoor, Daan; Dijk, Dick van - 2023

-noise dynamic factor models, commonly used in macroeconomic forecasting and nowcasting. We show analytically and in Monte Carlo … estimation accuracy. Modestly increasing the noise level also accelerates convergence. A nowcasting exercise of euro area GDP …

Persistent link: https://www.econbiz.de/10014249849

Nowcasting GDP through the lens of economic states

Boudt, Kris; De Block, Arno; Langenus, Geert; Reusens, Peter - 2023

Common sense tells that historical data are more informative for the estimation of today's nowcasting models when … procedure of GDP nowcasting models, in which observations are weighted based on the similarity with the current economic state … significant nowcasting gains for predicting GDP growth in Belgium as compared to traditional unweighted approaches. …

Persistent link: https://www.econbiz.de/10014450791