THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIA

The forecast uncertainty was one of the causes of the recent economic crisis and its evaluation became more necessary nowadays. The aim of this paper is to build and assess different types of forecast intervals for quarterly inflation rate in Romania. The Bootstrap Bias-corrected-accelerated (BCA) ...

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Main Authors: Mihaela Simionescu, Irina Drăgan
Format: Article
Language:English
Published: Faculty of Economics, University of Tuzla 2016-05-01
Series:Economic Review
Subjects:
Online Access:http://er.ef.untz.ba/index.php/er/article/view/116
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author Mihaela Simionescu
Irina Drăgan
author_facet Mihaela Simionescu
Irina Drăgan
author_sort Mihaela Simionescu
collection DOAJ
description The forecast uncertainty was one of the causes of the recent economic crisis and its evaluation became more necessary nowadays. The aim of this paper is to build and assess different types of forecast intervals for quarterly inflation rate in Romania. The Bootstrap Bias-corrected-accelerated (BCA) forecast intervals outperformed the intervals based on historical errors, four out of six values of inflation rate being placed in the first type of intervals during Q3:2013-Q4:2014. The likelihood ratio tests and the chi-square test indicated that there are significant differences between the ex-ante probability of 0.95 and the real probabilities for both types of forecast intervals. As a methodological novelty, Monte Carlo and bootstrap simulations were used for assessing the uncertainty in inflation rate forecasts in Romania. 
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spelling doaj-art-c956cd544fb744e6ae6e55cf2fa69dff2025-02-10T00:31:13ZengFaculty of Economics, University of TuzlaEconomic Review1512-89622303-680X2016-05-01141THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIAMihaela Simionescu0Irina Drăgan1 Institute for Economic Forecasting of the Romanian AcademyBucharest University of Economic Studies The forecast uncertainty was one of the causes of the recent economic crisis and its evaluation became more necessary nowadays. The aim of this paper is to build and assess different types of forecast intervals for quarterly inflation rate in Romania. The Bootstrap Bias-corrected-accelerated (BCA) forecast intervals outperformed the intervals based on historical errors, four out of six values of inflation rate being placed in the first type of intervals during Q3:2013-Q4:2014. The likelihood ratio tests and the chi-square test indicated that there are significant differences between the ex-ante probability of 0.95 and the real probabilities for both types of forecast intervals. As a methodological novelty, Monte Carlo and bootstrap simulations were used for assessing the uncertainty in inflation rate forecasts in Romania.  http://er.ef.untz.ba/index.php/er/article/view/116UncertaintyForecastsForecast intervalsInflation rateMonte Carlo simulationsBootstrap BCA
spellingShingle Mihaela Simionescu
Irina Drăgan
THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIA
Economic Review
Uncertainty
Forecasts
Forecast intervals
Inflation rate
Monte Carlo simulations
Bootstrap BCA
title THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIA
title_full THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIA
title_fullStr THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIA
title_full_unstemmed THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIA
title_short THE EVALUATION OF QUARTERLY FORECAST INTERVALS FOR INFLATION RATE IN ROMANIA
title_sort evaluation of quarterly forecast intervals for inflation rate in romania
topic Uncertainty
Forecasts
Forecast intervals
Inflation rate
Monte Carlo simulations
Bootstrap BCA
url http://er.ef.untz.ba/index.php/er/article/view/116
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