Abstract
This paper builds a short-term inflation projections (STIP) model for Latvia. The model is designed to forecast highly disaggregated consumer prices using cointegrated ARDL approach of [Pesaran, M., & Shin, Y. (1998). An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis. Econometric Society Monographs, 31, 371-413.]. We assess the forecast accuracy of STIP model using out-of-sample forecast exercise and show that our model outperforms both aggregated and disaggregated AR (1) benchmarks. Across inflation components, the forecast accuracy gains are 20-30% forecasting 3 months ahead and 15- 55% forecasting 12 months ahead.
| Original language | English |
|---|---|
| Pages (from-to) | 184-204 |
| Number of pages | 21 |
| Journal | Baltic Journal of Economics |
| Volume | 21 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2021 |
OECD Field of Science
- 5.2 Economics and Business
Keywords
- Autoregressive distributed lag model
- Disaggregated approach
- Food commodity prices
- Inflation forecasting
- Labour costs
- Oil prices
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