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Are macroeconomic variables useful for forecasting the distribution of U.S. inflation?. (2013). Zerom, Dawit ; Manzan, Sebastiano.
In: International Journal of Forecasting.
RePEc:eee:intfor:v:29:y:2013:i:3:p:469-478.

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  1. Specification Choices in Quantile Regression for Empirical Macroeconomics. (2025). Marcellino, Massimiliano ; Clark, Todd ; Carriero, Andrea.
    In: Journal of Applied Econometrics.
    RePEc:wly:japmet:v:40:y:2025:i:1:p:57-73.

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  2. The taming of the skew: asymmetric inflation risk and monetary policy. (2025). Petrella, Ivan ; Melosi, Leonardo ; de Polis, Andrea.
    In: Working Paper Series.
    RePEc:ecb:ecbwps:20253028.

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  3. The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy. (2024). Petrella, Ivan ; Melosi, Leonardo ; de Polis, Andrea.
    In: The Warwick Economics Research Paper Series (TWERPS).
    RePEc:wrk:warwec:1530.

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  4. Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics. (2024). Poon, Aubrey ; Mitchell, James ; Zhu, Dan.
    In: Journal of Applied Econometrics.
    RePEc:wly:japmet:v:39:y:2024:i:5:p:790-812.

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  5. Time-varying firm cash holding and economic policy uncertainty nexus: a quantile regression approach. (2024). Magerakis, Efstathios ; Gkillas, Konstantinos ; Galariotis, Emilios ; Floros, Christos ; Zopounidis, Constantin.
    In: Annals of Operations Research.
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  6. Climate Risks and Forecastability of US Inflation: Evidence from Dynamic Quantile Model Averaging. (2024). GUPTA, RANGAN ; Cepni, Oguzhan ; Fu, Shengjie ; Luo, Jiawen.
    In: Working Papers.
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  7. Inflation at risk. (2024). Loria, Francesca ; Lopez-Salido, David.
    In: Journal of Monetary Economics.
    RePEc:eee:moneco:v:145:y:2024:i:s:s0304393224000230.

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  8. International vulnerability of inflation. (2024). Ortega, Esther Ruiz ; Rodrguez, Carlos Vladimir ; Vedia, Ignacio Garrn.
    In: DES - Working Papers. Statistics and Econometrics. WS.
    RePEc:cte:wsrepe:44814.

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  9. Merging Structural and Reduced-Form Models for Forecasting. (2024). Piersanti, Fabio Massimo ; onorante, luca ; Martinez-Martin, Jaime ; Massimo, Piersanti Fabio ; Luca, Onorante ; Richard, Morris ; Jaime, Martinez-Martin.
    In: The B.E. Journal of Macroeconomics.
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  10. International vulnerability of inflation. (2024). Ruiz, Esther ; Garr, Ignacio ; Rodr, Vladimir C.
    In: Papers.
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  11. TAIL FORECASTING WITH MULTIVARIATE BAYESIAN ADDITIVE REGRESSION TREES. (2023). Pfarrhofer, Michael ; Marcellino, Massimiliano ; Koop, Gary ; Huber, Florian ; Clark, Todd.
    In: International Economic Review.
    RePEc:wly:iecrev:v:64:y:2023:i:3:p:979-1022.

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  12. Can Machine Learning Models Predict Inflation?. (2023). Codru, Ivacu.
    In: Proceedings of the International Conference on Business Excellence.
    RePEc:vrs:poicbe:v:17:y:2023:i:1:p:1748-1756:n:10.

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  13. Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics. (2023). Poon, Aubrey ; Mitchell, James ; Zhu, Dan.
    In: Working Papers.
    RePEc:fip:fedcwq:94160.

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  14. THE CHANGING DYNAMICS OF ALBANIAN INFLATION: A QUANTILE REGRESSION APPROACH. (2022). Skufi, Lorena ; Papavangjeli, Meri.
    In: MPRA Paper.
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  15. Specification Choices in Quantile Regression for Empirical Macroeconomics. (2022). Marcellino, Massimiliano ; Clark, Todd ; Carriero, Andrea.
    In: Working Papers.
    RePEc:fip:fedcwq:94690.

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  16. Tail Forecasting with Multivariate Bayesian Additive Regression Trees. (2022). Pfarrhofer, Michael ; Marcellino, Massimiliano ; Koop, Gary ; Huber, Florian ; Clark, Todd.
    In: Working Papers.
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  17. Modeling tail risks of inflation using unobserved component quantile regressions. (2022). Pfarrhofer, Michael.
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:143:y:2022:i:c:s016518892200197x.

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  18. The Term Structure of Inflation at Risk: A Panel Quantile Regression Approach. (2022). Norimasa, Yoshihiko ; Makabe, Yoshibumi.
    In: Bank of Japan Working Paper Series.
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  19. The time-varying risk of Italian GDP. (2021). Pacella, Claudia ; Delle Monache, Davide ; Busetti, Fabio ; Caivano, Michele.
    In: Economic Modelling.
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  20. Fan charts 2.0: flexible forecast distributions with expert judgement. (2021). Sokol, Andrej.
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  21. Domestic and Global Determinants of Inflation: Evidence from Expectile Regression*. (2021). Delle Monache, Davide ; Busetti, Fabio ; Caivano, Michele.
    In: Oxford Bulletin of Economics and Statistics.
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  22. Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model. (2021). Pfarrhofer, Michael ; Marcellino, Massimiliano ; Koop, Gary ; Huber, Florian ; Clark, Todd.
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  23. Modeling tail risks of inflation using unobserved component quantile regressions. (2021). Pfarrhofer, Michael.
    In: Papers.
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  24. Inflation at Risk. (2020). Lopez-Salido, David ; Loria, Francesca.
    In: Finance and Economics Discussion Series.
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  25. Nowcasting Tail Risks to Economic Activity with Many Indicators. (2020). Marcellino, Massimiliano ; Clark, Todd.
    In: Working Papers.
    RePEc:fip:fedcwq:87955.

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  26. Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions. (2020). Marcellino, Massimiliano ; Clark, Todd ; Carriero, Andrea.
    In: Working Papers.
    RePEc:fip:fedcwq:87375.

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  27. The time-varying risk of Italian GDP. (2020). Pacella, Claudia ; Delle Monache, Davide ; Busetti, Fabio ; Caivano, Michele.
    In: Temi di discussione (Economic working papers).
    RePEc:bdi:wptemi:td_1288_20.

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  28. Asymmetry in the conditional distribution of euro-area inflation. (2020). Tagliabracci, Alex.
    In: Temi di discussione (Economic working papers).
    RePEc:bdi:wptemi:td_1270_20.

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  29. Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach. (2020). Phella, Anthoulla.
    In: Papers.
    RePEc:arx:papers:2010.12263.

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  30. Semiparametric quantile averaging in the presence of high-dimensional predictors. (2019). Zerom, Dawit ; Gooijer, Jan G. ; de Gooijer, Jan G.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:35:y:2019:i:3:p:891-909.

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  31. Domestic and global determinants of inflation: evidence from expectile regression. (2019). Delle Monache, Davide ; Busetti, Fabio ; Caivano, Michele.
    In: Temi di discussione (Economic working papers).
    RePEc:bdi:wptemi:td_1225_19.

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  32. Explaining and Forecasting Euro Area Inflation: the Role of Domestic and Global Factors. (2018). Schmidt, Katja ; Faubert, Violaine ; Béreau, Sophie ; Bereau, S.
    In: Working papers.
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  33. Dynamic Relations of Consumer Prices: A Case Study of Recent Effects on the Japanese Headline CPI. (2016). Tsuji, Chikashi.
    In: Journal of Social Science Studies.
    RePEc:mth:jsss88:v:3:y:2016:i:2:p:28-39.

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  34. Forecasting the Distribution of Economic Variables in a Data-Rich Environment. (2015). Manzan, Sebastiano.
    In: Journal of Business & Economic Statistics.
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  35. Model uncertainty and the forecast accuracy of ARMA models: A survey. (2015). Veiga, Helena ; Ruiz, Esther ; Gonalves, Mazzeu ; Joao, Henrique .
    In: DES - Working Papers. Statistics and Econometrics. WS.
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  36. On the conditional distribution of euro area inflation forecast. (2015). Rodano, Lisa ; Caivano, Michele ; Busetti, Fabio.
    In: Temi di discussione (Economic working papers).
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  37. Forecasting in nonstationary environments: What works and what doesnt in reduced-form and structural models. (2014). Rossi, Barbara ; Giacomini, Raffaella.
    In: Economics Working Papers.
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  38. Evaluating predictive densities of US output growth and inflation in a large macroeconomic data set. (2014). Sekhposyan, Tatevik ; Rossi, Barbara.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:30:y:2014:i:3:p:662-682.

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  45. Inflation and Inflation Uncertainty in the Euro Area. (2009). Paesani, Paolo ; onorante, luca ; Caporale, Guglielmo Maria.
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  46. Do high-frequency measures of volatility improve forecasts of return distributions?. (2008). McCurdy, Thomas ; Maheu, John.
    In: Working Papers.
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  47. Out-of-sample comparison of copula specifications in multivariate density forecasts. (2008). van Dijk, Dick ; Panchenko, Valentyn ; Diks, Cees.
    In: Discussion Papers.
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  48. Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails. (2008). van Dijk, Dick ; Panchenko, Valentyn ; Diks, Cees.
    In: Discussion Papers.
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  49. Out-of-sample comparison of copula specifications in multivariate density forecasts. (2008). van Dijk, Dick ; Panchenko, Valentyn ; Diks, Cees.
    In: CeNDEF Working Papers.
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  50. Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails. (2008). van Dijk, Dick ; Panchenko, Valentyn ; Diks, Cees.
    In: CeNDEF Working Papers.
    RePEc:ams:ndfwpp:08-03.

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