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Forecasting China's GDP growth using dynamic factors and mixed-frequency data

Jiang, Yu; Guo, Yong-ji; Zhang, Yihao - In: Economic modelling 66 (2017), pp. 132-138

Persistent link: https://www.econbiz.de/10011813689

Forecasting India's economic growth : a time-varying parameter regression approach

Bhattacharya, Rudrani; Chakravartti, Parma; Mundle, Sudipto - 2018

Persistent link: https://www.econbiz.de/10011939512

How useful are time-varying parameter models for forecasting economic growth in CESEE?

Feldkircher, Martin; Hauzenberger, Nico - In: Focus on European economic integration (2019) 1, pp. 29-48

Persistent link: https://www.econbiz.de/10012193683

Estimates of quarterly GDP growth using MIDAS regressions

Bhaghoe, Sailesh; Ooft, Gavin; Franses, Philip Hans - 2019

Persistent link: https://www.econbiz.de/10012149762

Macroeconomics, nonlinearities, and the business cycle

Reif, Magnus - 2019

Persistent link: https://www.econbiz.de/10012134188

Forecasting Turkish real GDP growth in a data-rich environment

Şen Doğan, Bahar; Midiliç, Murat - In: Empirical economics : a journal of the Institute for … 56 (2019) 1, pp. 367-395

Persistent link: https://www.econbiz.de/10012040779

Quantiles of growth : household debt and growth vulnerabilities in Finland

Nyholm, Juho; Voutilainen, Ville - 2021

significantly negative to zero, depending on the estimation sample and especially if the Finnish Great Depression of early 1990's is …

Persistent link: https://www.econbiz.de/10012521030

Inside the IMF "mea culpa" : a panel analysis on growth forecast errors and Keynesian multipliers in Europe

Brancaccio, Emiliano; De Cristofaro, Fabiana - In: PSL quarterly review 73 (2020) 294, pp. 225-239

The tests carried out by Blanchard and Leigh (2013; IMF, 2012) and Fátas and Summers (2018) are extended here into a panel framework in order to assess the empirical basis of the so-called IMF "mea culpa" regarding the underestimation of Keynesian multipliers during the euro area crisis. The...

Persistent link: https://www.econbiz.de/10012435598

U.S. GDP Growth Rate Predictability : New Evidence

Lu, Fei; Ma, Feng; Bouri, Elie; Fei, Xia - 2022

Our research focuses on forecasting the GDP growth rate by taking a considerable number of economic indicators from various frequencies into account within a new penalty-based mixed-frequency data model called the MIDAS-LASSO model. The empirical findings reveal that the MIDAS-LASSO model has a...

Persistent link: https://www.econbiz.de/10013295573

Growth at risk : forecast distribution of GDP growth in Israel

Gurkov, Michael; Zohar, Osnat - 2022

Persistent link: https://www.econbiz.de/10014338732