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Sākums Medijiem Noderīga informācija Pētījumi un publikācijas Statistika Monetārā politika Euro Maksājumi un tirgi Karjera
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Latviešu valodas versija nav pieejama

Laura Moretti

5 May 2020
WORKING PAPER SERIES - No. 2400
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Abstract
We explain the role of the Phillips Curve in the analysis of the economic outlook and the formulation of monetary policy at the ECB. First, revisiting the structural Phillips Curve, we highlight the challenges in recovering structural parameters from reduced-form estimates and relate the reduced-form Phillips Curve to the (semi-)structural models used at the ECB. Second, we identify the slope of the structural Phillips Curve by exploiting cross-country variation and by using high-frequency monetary policy surprises as instruments. Third, we present reduced-form evidence, focusing on the relation between slack and inflation and the role of inflation expectations. In relation to the recent weakness of inflation, we discuss the role of firm profits in the pass-through from wages to prices and the contribution of external factors. Overall, the available evidence supports the view that the absorption of slack and a firm anchoring of inflation expectations remain central to successful inflation stabilisation.
JEL Code
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
17 July 2019
WORKING PAPER SERIES - No. 2295
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Abstract
We perform a robust estimation of the Phillips curve in the euro area using a battery of 630 theory-driven models. We extend the existing literature by adding model specifications, taking into account the uncertainty in the measurement of variables and testing for potential non-linearities and structural changes. Using Dynamic Model Averaging, we identify the most important determinants of inflation over the sample. We then forecast core inflation 12 quarters ahead and present its probability distribution. We compare the distribution of forecasts performed in recent years, and we assess, in a probabilistic manner, the convergence towards a sustainable path of inflation.
JEL Code
C30 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→General
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles