2015
DOI: 10.2139/ssrn.2722440
|View full text |Cite
|
Sign up to set email alerts
|

On the Conditional Distribution of Euro Area Inflation Forecast

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
9
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
8

Relationship

4
4

Authors

Journals

citations
Cited by 28 publications
(13 citation statements)
references
References 120 publications
4
9
0
Order By: Relevance
“…Manzan and Zerom (2013) argue that macroeconomic indicators are useful for predicting the distribution of US in ‡ation, while Wolters and Tillman (2015) …nd a decrease in persistence at all quantiles since the early Eighties. The distribution of euro area in ‡ation is analyzed in Busetti, Caivano, Rodano (2015), Busetti (2017), Bereau, Faubert, Schmidt (2018) and Tagliabracci (2019) with …ndings that are broadly comparable to what presented here for the case of …xed coe¢ cients.…”
Section: Introduction *supporting
confidence: 56%
See 2 more Smart Citations
“…Manzan and Zerom (2013) argue that macroeconomic indicators are useful for predicting the distribution of US in ‡ation, while Wolters and Tillman (2015) …nd a decrease in persistence at all quantiles since the early Eighties. The distribution of euro area in ‡ation is analyzed in Busetti, Caivano, Rodano (2015), Busetti (2017), Bereau, Faubert, Schmidt (2018) and Tagliabracci (2019) with …ndings that are broadly comparable to what presented here for the case of …xed coe¢ cients.…”
Section: Introduction *supporting
confidence: 56%
“…The right panel considers instead model (f) of Table 1, where the import de ‡ator is replaced by the nominal e¤ective exchange rate. It is interesting to note that: (i) the coe¢ cients are strikingly similar for all 9 The variance matrix of the time-varying expectile regression coe¢ cient, b V t b t (!) ; is computed following Giraitis et al (2014).…”
Section: Time-varying E¤ects For Conditional Expectiles and The Globamentioning
confidence: 93%
See 1 more Smart Citation
“…Quantile regression models show that inflation is more persistent in the lowest quantiles of the distribution of inflation (Busetti, Caivano and Rodano, 2015). Moreover, inflation is less sensitive to cyclical conditions in the left tail of the distribution, where inflation is low and the output gap is typically large and negative.…”
Section: The Disinflation and The Risk Of Deflationmentioning
confidence: 98%
“…The IMF (2016) emphasizes the role that the lower bound on policy rates may have played in recent years in increasing the sensitivity of expectations to inflation surprises, an indicator of the degree of anchoring of inflation expectations (Figure 10). Busetti et al (2015) show that if agents have incomplete information about the working of the economy and form expectations through an adaptive learning process, the effects of negative surprises on inflation may become extremely persistent, compared with the case in which agents are 'perfectly rational' and know the correct parameters of the economy, including the inflation rate. A similar conclusion was reached by economists at the Bank of Japan, and used to motivate the 'Quantitative and Qualitative Monetary Easing with Yield Curve Control' and the 'inflation-overshooting commitment' in September 2016.…”
Section: Inflation Developments: Facts and Explanationsmentioning
confidence: 99%