Title: Targeted forecasts for policy makers
Language: English
Authors: Zessner-Spitzenberg, Leopold 
Qualification level: Diploma
Advisor: Pelenis, Justinas 
Issue Date: 2015
Number of Pages: 45
Qualification level: Diploma
In this master thesis we conduct a simulated out-of-sample experiment to compare the one-month-ahead inflation density forecasting performance of competing econometric models on US data. We pay particular attention to the ability to forecast inflations rates that are generally considered as harmful. In our comparison GARCH models consistently deliver the best density forecasts, outperforming the Markov switching model proposed by Amisano and Giacomini (2007). This is in line with the finding of Clark and Ravazzolo (2014), that time varying is an important feature for density forecasts of macroeconomic variables. With regards to the forecasts of excessively high and low inflation rates, we find that models based on the Phillips curve outperform a univariate model at this task, while the models perform similarly overall. This is consistent with earlier findings that Phillips curve generally prove to be useful during certain times, such as recessions, but not during normal times .
Keywords: Inflation; Phillips curve; probabilistic forecasting; scoring rules
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-88198
Library ID: AC12369221
Organisation: E017 - Continuing Education Center 
Publication Type: Thesis
Appears in Collections:Thesis

Files in this item:

Show full item record

Page view(s)

checked on Jun 10, 2021


checked on Jun 10, 2021

Google ScholarTM


Items in reposiTUm are protected by copyright, with all rights reserved, unless otherwise indicated.