Inflation dynamics;
Inflation expectations;
Phillips curve;
Euro area;
Thick modeling;
Meta regressions;
DYNAMICS;
D O I:
10.1016/j.econlet.2020.109449
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
We analyze the information content of alternative inflation expectations measures, including those from consumers, firms, experts and financial markets, in the context of open economy Phillips curves. We adopt a thick modeling approach with rolling regressions and we assess the results of an out-of sample conditional forecasting exercise by means of meta regressions. The information content varies substantially across inflation expectations measures. In particular, we find that those from consumers and firms are better at predicting inflation if compared to those from experts and, especially, those from financial markets. (C) 2020 Elsevier B.V. All rights reserved.
机构:
Bank Italy, Directorate Gen Econ Stat & Res, Via Nazl 91, I-00184 Rome, ItalyBank Italy, Directorate Gen Econ Stat & Res, Via Nazl 91, I-00184 Rome, Italy
Hoynck, Christian
Rossi, Luca
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机构:
Bank Italy, Directorate Gen Econ Stat & Res, Via Nazl 91, I-00184 Rome, ItalyBank Italy, Directorate Gen Econ Stat & Res, Via Nazl 91, I-00184 Rome, Italy