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Forecasting Austrian inflation. (2007). Scharler, Johann ; Rumler, Fabio ; Moser, Gabriel .
In: Economic Modelling.
RePEc:eee:ecmode:v:24:y:2007:i:3:p:470-480.

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  1. Forecasting food price inflation during global crises. (2024). Duncan, Roberto ; Toledo, Patricia.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:43:y:2024:i:4:p:1087-1113.

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  2. Forecasting models for the Chinese macroeconomy in a data‐rich environment: Evidence from large dimensional approximate factor models with mixed‐frequency data. (2023). Zhang, Qin ; Ni, HE ; Xu, Hao.
    In: Accounting and Finance.
    RePEc:bla:acctfi:v:63:y:2023:i:1:p:719-767.

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  3. Estimation and decomposition of food price inflation risk. (2022). Boudt, Kris ; Luu, Hong Anh.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:31:y:2022:i:2:d:10.1007_s10260-021-00574-6.

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  4. Macroeconometric forecasting using a cluster of dynamic factor models. (2022). Glocker, Christian ; Kaniovski, Serguei.
    In: Empirical Economics.
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  5. Measuring Financial Sustainability and Social Adequacy of the Italian NDC Pension System under the COVID-19 Pandemic. (2022). Levantesi, Susanna ; Menzietti, Massimiliano ; Fratoni, Lorenzo.
    In: Sustainability.
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  6. Short-Term Inflation Projections Model and Its Assessment in Latvia. (2020). Krasnopjorovs, Olegs ; Bessonovs, Andrejs.
    In: Working Papers.
    RePEc:ltv:wpaper:202001.

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  7. Weigh(t)ing the basket: aggregate and component-based inflation forecasts for the euro area. (2020). Sokol, Andrej ; Porqueddu, Mario ; Chalmoviansk, Jakub.
    In: Working Paper Series.
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  8. Investigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models. (2019). Hosseinidoust, Seyed Ehsan ; Khezri, Mohsen ; Naziri, Mohammad Kazem.
    In: Iranian Economic Review (IER).
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  9. Forecasting inflation: Phillips curve effects on services price measures. (2017). Zaman, Saeed ; Tallman, Ellis.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:33:y:2017:i:2:p:442-457.

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  10. An adaptive approach to forecasting three key macroeconomic variables for transitional China. (2017). Niu, Linlin ; Chen, Ying ; Xu, Xiu.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:66:y:2017:i:c:p:201-213.

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  11. Understanding and forecasting aggregate and disaggregate price dynamics. (2014). D'Agostino, Antonello ; Bermingham, Colin ; Dagostino, Antonello.
    In: Empirical Economics.
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  12. Improving forecasting in an emerging economy, South Africa: Changing trends, long run restrictions and disaggregation. (2012). muellbauer, john ; Aron, Janine.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:28:y:2012:i:2:p:456-476.

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  13. Do disaggregated CPI data improve the accuracy of inflation forecasts?. (2012). Ibarra, Raul.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:29:y:2012:i:4:p:1305-1313.

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  14. Combining disaggregate forecasts or combining disaggregate information to forecast an aggregate. (2010). Hubrich, Kirstin ; Hendry, David.
    In: Working Paper Series.
    RePEc:ecb:ecbwps:20101155.

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  15. The time-varying policy neutral rate in real-time: A predictor for future inflation?. (2009). Horvath, Roman.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:26:y:2009:i:1:p:71-81.

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  16. How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach. (2008). Ziegler, Christina ; Eickmeier, Sandra.
    In: Journal of Forecasting.
    RePEc:jof:jforec:v:27:y:2008:i:3:p:237-265.

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  17. Comparing the New Keynesian Phillips Curve with Time Series Models to Forecast Inflation. (2007). Valderrama, Maria ; Rumler, Fabio.
    In: EcoMod2007.
    RePEc:ekd:000239:23900080.

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  18. The Time-Varying Policy Neutral Rate in Real Time: A Predictor for Future Inflation?. (2007). Horvath, Roman.
    In: Working Papers.
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References

References cited by this document

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