Matches in SemOpenAlex for { <https://semopenalex.org/work/W2948657033> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2948657033 endingPage "31" @default.
- W2948657033 startingPage "20" @default.
- W2948657033 abstract "The article contains a review of inflation forecasting models, including the most popular class of models as one-factor models: random walk, direct autoregression, recursive autoregression, stochastic volatility with an unobserved component and of the integrated model of autoregression with moving average. Also, we discussed the possibilities of various modifications of models based on the Phillips curve (including the “triangle model”), vector autoregressive models (including the factor-extended model of B. Bernanke’s vector autoregression), dynamic general equilibrium models and neural networks. Further, we considered the comparative advantages of these classes of models. In particular, we revealed a new trend in inflation forecasting, which consists of the introduction of synthetic procedures for private forecasts accounting obtained by different models. An important conclusion of the study is the superiority of expert assessments in comparison with all available models. We have shown that in the conditions of a large number of alternative methods of inflation modelling, the choice of the adequate approach in specific conditions (for example, for the Russian economy of the current period) is a non-trivial procedure. Based on this conclusion, the authors substantiate the thesis that large prognostic possibilities are inherent in the mixed strategies of using different methodological approaches, when implementing different modelling tools at different stages of modelling, in particular, the multifactorial econometric model and the artificial neural network." @default.
- W2948657033 created "2019-06-14" @default.
- W2948657033 creator A5021455852 @default.
- W2948657033 creator A5085716627 @default.
- W2948657033 date "2019-06-03" @default.
- W2948657033 modified "2023-09-27" @default.
- W2948657033 title "Inflation Forecasting: The Practice of Using Synthetic Procedures" @default.
- W2948657033 cites W1587744912 @default.
- W2948657033 cites W1994514264 @default.
- W2948657033 cites W1996868415 @default.
- W2948657033 cites W2025796800 @default.
- W2948657033 cites W2041663738 @default.
- W2948657033 cites W2084207510 @default.
- W2948657033 cites W2086606037 @default.
- W2948657033 cites W2100641458 @default.
- W2948657033 cites W2106245083 @default.
- W2948657033 cites W2130136614 @default.
- W2948657033 cites W2150740039 @default.
- W2948657033 cites W2314771411 @default.
- W2948657033 cites W2331931357 @default.
- W2948657033 cites W2403639946 @default.
- W2948657033 cites W2506696610 @default.
- W2948657033 cites W2749288741 @default.
- W2948657033 cites W2883238721 @default.
- W2948657033 cites W2991686893 @default.
- W2948657033 cites W3022994593 @default.
- W2948657033 cites W3106756431 @default.
- W2948657033 cites W3123426266 @default.
- W2948657033 cites W3123567002 @default.
- W2948657033 cites W3123970111 @default.
- W2948657033 cites W3124426079 @default.
- W2948657033 cites W3124765495 @default.
- W2948657033 cites W3125162238 @default.
- W2948657033 cites W3125517020 @default.
- W2948657033 cites W3149221040 @default.
- W2948657033 cites W3160856958 @default.
- W2948657033 cites W4247765758 @default.
- W2948657033 doi "https://doi.org/10.26794/2220-6469-2018-12-4-20-31" @default.
- W2948657033 hasPublicationYear "2019" @default.
- W2948657033 type Work @default.
- W2948657033 sameAs 2948657033 @default.
- W2948657033 citedByCount "2" @default.
- W2948657033 countsByYear W29486570332019 @default.
- W2948657033 countsByYear W29486570332021 @default.
- W2948657033 crossrefType "journal-article" @default.
- W2948657033 hasAuthorship W2948657033A5021455852 @default.
- W2948657033 hasAuthorship W2948657033A5085716627 @default.
- W2948657033 hasBestOaLocation W29486570331 @default.
- W2948657033 hasConcept C121332964 @default.
- W2948657033 hasConcept C133029050 @default.
- W2948657033 hasConcept C149782125 @default.
- W2948657033 hasConcept C154945302 @default.
- W2948657033 hasConcept C159877910 @default.
- W2948657033 hasConcept C162324750 @default.
- W2948657033 hasConcept C180075932 @default.
- W2948657033 hasConcept C200941418 @default.
- W2948657033 hasConcept C33332235 @default.
- W2948657033 hasConcept C41008148 @default.
- W2948657033 hasConcept C50644808 @default.
- W2948657033 hasConcept C85393063 @default.
- W2948657033 hasConcept C91602232 @default.
- W2948657033 hasConceptScore W2948657033C121332964 @default.
- W2948657033 hasConceptScore W2948657033C133029050 @default.
- W2948657033 hasConceptScore W2948657033C149782125 @default.
- W2948657033 hasConceptScore W2948657033C154945302 @default.
- W2948657033 hasConceptScore W2948657033C159877910 @default.
- W2948657033 hasConceptScore W2948657033C162324750 @default.
- W2948657033 hasConceptScore W2948657033C180075932 @default.
- W2948657033 hasConceptScore W2948657033C200941418 @default.
- W2948657033 hasConceptScore W2948657033C33332235 @default.
- W2948657033 hasConceptScore W2948657033C41008148 @default.
- W2948657033 hasConceptScore W2948657033C50644808 @default.
- W2948657033 hasConceptScore W2948657033C85393063 @default.
- W2948657033 hasConceptScore W2948657033C91602232 @default.
- W2948657033 hasIssue "4" @default.
- W2948657033 hasLocation W29486570331 @default.
- W2948657033 hasLocation W29486570332 @default.
- W2948657033 hasOpenAccess W2948657033 @default.
- W2948657033 hasPrimaryLocation W29486570331 @default.
- W2948657033 hasRelatedWork W1552080676 @default.
- W2948657033 hasRelatedWork W2049975830 @default.
- W2948657033 hasRelatedWork W2139098899 @default.
- W2948657033 hasRelatedWork W2783555792 @default.
- W2948657033 hasRelatedWork W3121582043 @default.
- W2948657033 hasRelatedWork W3122446019 @default.
- W2948657033 hasRelatedWork W3124163831 @default.
- W2948657033 hasRelatedWork W3142480208 @default.
- W2948657033 hasRelatedWork W4361295864 @default.
- W2948657033 hasRelatedWork W3142136208 @default.
- W2948657033 hasVolume "12" @default.
- W2948657033 isParatext "false" @default.
- W2948657033 isRetracted "false" @default.
- W2948657033 magId "2948657033" @default.
- W2948657033 workType "article" @default.