scholarly journals Dynamic factor model with infinite‐dimensional factor space: Forecasting

2018 ◽  
Vol 33 (5) ◽  
pp. 625-642 ◽  
Author(s):  
Mario Forni ◽  
Alessandro Giovannelli ◽  
Marco Lippi ◽  
Stefano Soccorsi



2019 ◽  
Author(s):  
Carlos César Trucíos Maza ◽  
João Henrique Gonçalves Mazzeu ◽  
Luiz Koodi Hotta ◽  
Pedro L. Valls Pereira ◽  
Marc Hallin






2018 ◽  
Vol 118 ◽  
pp. 281-317 ◽  
Author(s):  
Tao Ma ◽  
Zhou Zhou ◽  
Constantinos Antoniou


Author(s):  
Giovanni De Luca ◽  
Alfonso Carfora


2021 ◽  
pp. 1-45
Author(s):  
Matteo Barigozzi ◽  
Matteo Luciani

Abstract We propose a new measure of the output gap based on a dynamic factor model that is estimated on a large number of U.S. macroeconomic indicators and which incorporates relevant stylized facts about macroeconomic data (co-movements, non-stationarity, and the slow drift in long-run output growth over time). We find that, (1) from the mid-1990s to 2008, the U.S. economy operated above its potential; and, (2) in 2018:Q4, the labor market was tighter than the market for goods and services. Because it is mainly data-driven, our measure is a natural complementary tool to the theoretical models used at policy institutions.





2017 ◽  
Vol 199 (1) ◽  
pp. 74-92 ◽  
Author(s):  
Mario Forni ◽  
Marc Hallin ◽  
Marco Lippi ◽  
Paolo Zaffaroni


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