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Zivile Zekaite

14 September 2018
WORKING PAPER SERIES - No. 2175
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Abstract
This paper develops Area-wide Leading Inflation CyclE (ALICE) indicators for euro area headline and core inflation with an aim to provide early signals about turning points in the respective inflation cycle. The series included in the two composite leading indicators are carefully selected from around 160 candidate leading series using a general-to-specific selection process. The headline ALICE includes nine leading series and has a lead time of 3 months while the core ALICE consists of seven series and leads the reference cycle by 4 months. The lead times of the indicators increase to 5 and 9 months, respectively, based on a subset of the selected leading series with longer leading properties. Both indicators identify main turning points in the inflation cycle ex post and perform well in a simulated real-time exercise over the period from 2010 to the beginning of 2018. They also have performed well in forecasting the direction of inflation. In terms of the quantitative forecast accurracy, the headline ALICE has on average performed broadly similarly to the Euro Zone Barometer survey, slightly worse than the Eurosystem/ECB Staff macroeconomic projections and better than the Random Walk model, albeit this is not the case for the core ALICE.
JEL Code
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C52 : Mathematical and Quantitative Methods→Econometric Modeling→Model Evaluation, Validation, and Selection
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
17 December 2019
WORKING PAPER SERIES - No. 2343
Details
Abstract
This study extends a thick modelling tool for aggregated euro area real private consumption of de Bondt et al. (2019) to the four largest euro area countries. The suite of error correction models performs well in and out of sample. The ranges and averages of estimated elasticities are, however, sensitive to the exact model specification. We also show that decomposing disposable income into labour, property and transfer income is essential for understanding and forecasting consumption. Finally, substantial crosscountry heterogeneity in marginal propensities to consume out of income and wealth components calls for caution when interpreting aggregate euro area developments.
JEL Code
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications