Combining disaggregate forecasts for inflation: The SNB's ARIMA model
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Cited by:
- Dr. Gregor Bäurle & Daniel Kaufmann, 2014. "Exchange rate and price dynamics in a small open economy - the role of the zero lower bound and monetary policy regimes," Working Papers 2014-10, Swiss National Bank.
- Kaufmann, Daniel & Bäurle, Gregor, 2013. "Exchange Rate and Price Dynamics at the Zero Lower Bound," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79872, Verein für Socialpolitik / German Economic Association.
- Blazej Mazur, 2015. "Density forecasts based on disaggregate data: nowcasting Polish inflation," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 71-87.
- Nyoni, Thabani, 2018. "Box-Jenkins ARIMA approach to predicting net FDI inflows in Zimbabwe," MPRA Paper 87737, University Library of Munich, Germany.
- Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
- Kaufmann, Daniel & Lein, Sarah M., 2013. "Sticky prices or rational inattention – What can we learn from sectoral price data?," European Economic Review, Elsevier, vol. 64(C), pages 384-394.
- Kaufmann, Daniel & Scheufele, Rolf, 2017.
"Business tendency surveys and macroeconomic fluctuations,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
- Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
- Pascal Seiler, 2020. "Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
- Dr. Nikolay Markov & Dr. Thomas Nitschka, 2013. "Estimating Taylor Rules for Switzerland: Evidence from 2000 to 2012," Working Papers 2013-08, Swiss National Bank.
- Andrejs Bessonovs & Olegs Krasnopjorovs, 2021.
"Short-term inflation projections model and its assessment in Latvia,"
Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 21(2), pages 184-204.
- Andrejs Bessonovs & Olegs Krasnopjorovs, 2020. "Short-Term Inflation Projections Model and Its Assessment in Latvia," Working Papers 2020/01, Latvijas Banka.
- Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2023.
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34/2023, Deutsche Bundesbank.
- Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2024. "Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany," Working Paper Series 2930, European Central Bank.
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"Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland,"
German Economic Review, De Gruyter, vol. 17(4), pages 478-490, December.
- Thomas Nitschka & Nikolay Markov, 2016. "Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland," German Economic Review, Verein für Socialpolitik, vol. 17(4), pages 478-490, November.
- Dmytro Krukovets, 2024. "Exploring an LSTM-SARIMA routine for core inflation forecasting," Technology audit and production reserves, PC TECHNOLOGY CENTER, vol. 2(2(76)), pages 6-12, April.
- Dmytro Krukovets & Olesia Verchenko, 2019. "Short-Run Forecasting of Core Inflation in Ukraine: a Combined ARMA Approach," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 248, pages 11-20.
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More about this item
Keywords
Swiss CPI inflation; Forecast combination; Forecast aggregation; Disaggregateinformation; ARIMA models; Missing data; Kalman filter;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2013-04-13 (Forecasting)
- NEP-MON-2013-04-13 (Monetary Economics)
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