WORKING PAPER SERIES No 56 / 2018 Slicing up inflation: analysis and forecasting of Lithuanian inflation components EXERCISE EVALUATION FORECAST REAL-TIME PSEUDO A DATASETS: MONTHLY LARGE USING GDP OF FORECASTING SHORT-TERM No 1 / 2008 By Julius Stakėnas BANK OF LITHUANIA. WORKING PAPER SERIES PAPER WORKING LITHUANIA. OF BANK 1 ISSN 2029-0446 (ONLINE) WORKING PAPER SERIES No 56 / 2018 SLICING UP INFLATION: ANALYSIS AND FORECASTING OF LITHUANIAN INFLATION COMPONENTS* Julius Stakėnas† * We are grateful for the participants of the internal Bank of Lithuania seminars for their helpful comments. The views expressed and the conclusions reached in this publication are those of the author and do not necessarily represent the official views of the Bank of Lithuania or the Eurosystem. † Bank of Lithuania, e.a.:
[email protected]. © Lietuvos bankas, 2018 Reproduction for educational and non-commercial purposes is permitted provided that the source is acknowledged. Address Totorių g. 4 LT-01121 Vilnius Lithuania Telephone (8 5) 268 0103 Internet http://www.lb.lt Working Papers describe research in progress by the author(s) and are published to stimulate discussion and critical comments. The Series is managed by Applied Macroeconomic Research Division of Economics Department and Center for Excellence in Finance and Economic Research. All Working Papers of the Series are refereed by internal and external experts. The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania. ISSN 2029-0446 (ONLINE) Abstract In this paper we model five Lithuanian HICP subcomponents in a medium scale Bayesian VAR framework. We deal with the parameter proliferation problem by setting the appropri- ate amount of shrinkage determined in the out-of-sample forecasting exercise.