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Forecasting inflation with a zero lower bound or negative interest rates: Evidence from point and density forecasts. (2023). Caporale, Guglielmo Maria ; Anderl, Christina.
In: Manchester School.
RePEc:bla:manchs:v:91:y:2023:i:3:p:171-232.

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  1. Alessandri, P., & Mumtaz, H. (2017). Financial conditions and density forecasts for US output and inflation. Review of Economic Dynamics, 24, 66–78. https://doi.org/10.1016/j.red.2017.01.003.

  2. Ang, A., Bekaert, G., & Wei, M. (2007). Do macro variables, asset markets, or surveys forecast inflation better? Journal of Monetary Economics, 54(4), 1163–1212. https://doi.org/10.1016/j.jmoneco.2006.04.006.

  3. Atkeson, A., & Ohanian, L. E. (2001). Are Phillips curves useful for forecasting inflation? Federal Reserve Bank of Minneapolis Quarterly Review, 25(1), 2–11. https://doi.org/10.21034/qr.2511.

  4. Bai, J., & Ng, S. (2008). Forecasting economic time series using targeted predictors. Journal of Econometrics, 146(2), 304–317. https://doi.org/10.1016/j.jeconom.2008.08.010.

  5. Ball, L., Cecchetti, S., & Gordon, R. J. (1990). Inflation and uncertainty at short and long horizons. Brookings Papers on Economic Activity, 1990(1), 215–254. https://doi.org/10.2307/2534528.

  6. Bauer, M. D., & Rudebusch, G. D. (2016). Monetary policy expectations at the zero lower bound. Journal of Money, Credit, and Banking, 48(7), 1439–1465. https://doi.org/10.1111/jmcb.12338.

  7. Berge, T. J. (2018). Understanding survey‐based inflation expectations. International Journal of Forecasting, 34(4), 788–801. https://doi.org/10.1016/j.ijforecast.2018.07.003.

  8. Bernanke, B. S., & Boivin, J. (2003). Monetary policy in a data‐rich environment. Journal of Monetary Economics, 50(3), 525–546. https://doi.org/10.1016/s0304‐3932(03)00024‐2.
    Paper not yet in RePEc: Add citation now
  9. Boivin, J., & Ng, S. (2006). Are more data always better for factor analysis? Journal of Econometrics, 132(1), 169–194. https://doi.org/10.1016/j.jeconom.2005.01.027.

  10. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304‐4076(86)90063‐1.

  11. Canova, F. (2007). G‐7 inflation forecasts: Random walk, Phillips curve or what else? Macroeconomic Dynamics, 11(1), 1–30. https://doi.org/10.1017/s136510050705033x.

  12. Chan, J. C., Clark, T. E., & Koop, G. (2018). A new model of inflation, trend inflation, and long‐run inflation expectations. Journal of Money, Credit, and Banking, 50(1), 5–53. https://doi.org/10.1111/jmcb.12452.
    Paper not yet in RePEc: Add citation now
  13. Diebold, F. X., & Mariano, R. S. (2002). Comparing predictive accuracy. Journal of Business & Economic Statistics, 20(1), 134–144. https://doi.org/10.1198/073500102753410444.

  14. Döpke, J., Fritsche, U., & Müller, K. (2019). Has macroeconomic forecasting changed after the great recession? Panel‐Based evidence on forecast accuracy and forecaster behavior from Germany. Journal of Macroeconomics, 62, 103135. https://doi.org/10.1016/j.jmacro.2019.103135.

  15. Eickmeier, S., & Ziegler, C. (2008). How successful are dynamic factor models at forecasting output and inflation? A meta‐analytic approach. Journal of Forecasting, 27(3), 237–265. https://doi.org/10.1002/for.1056.

  16. Faust, J., & Wright, J. H. (2013). Forecasting inflation. In Handbook of economic forecasting (Vol. 2, pp. 2–56). Elsevier.
    Paper not yet in RePEc: Add citation now
  17. Forni, M., Hallin, M., Lippi, M., & Reichlin, L. (2003). Do financial variables help forecasting inflation and real activity in the euro area? Journal of Monetary Economics, 50(6), 1243–1255. https://doi.org/10.1016/s0304‐3932(03)00079‐5.

  18. Fosten, J. (2017). Revisiting targeted factors. Journal of Forecasting, 36(2), 207–216. https://doi.org/10.1002/for.2429.

  19. Gaglianone, W. P., & Lima, L. R. (2014). Constructing optimal density forecasts from point forecast combinations. Journal of Applied Econometrics, 29(5), 736–757. https://doi.org/10.1002/jae.2352.

  20. Groen, J. J., Paap, R., & Ravazzolo, F. (2013). Real‐time inflation forecasting in a changing world. Journal of Business and Economic Statistics, 31(1), 29–44. https://doi.org/10.1080/07350015.2012.727718.
    Paper not yet in RePEc: Add citation now
  21. Gürkaynak, R. S., Sack, B., & Wright, J. H. (2007). The US Treasury yield curve: 1961 to the present. Journal of Monetary Economics, 54(8), 2291–2304. https://doi.org/10.17016/feds.2006.28.
    Paper not yet in RePEc: Add citation now
  22. Hall, S. G., & Mitchell, J. (2007). Combining density forecasts. International Journal of Forecasting, 23(1), 1–13. https://doi.org/10.1016/j.ijforecast.2006.08.001.

  23. Hännikäinen, J. (2017). The shadow rate as a predictor of real activity and inflation: Evidence from a data‐rich environment. Applied Economics Letters, 24(8), 527–535. https://doi.org/10.1080/13504851.2016.1208347.

  24. Harvey, D., Leybourne, S., & Newbold, P. (1997). Testing the equality of prediction mean squared errors. International Journal of Forecasting, 13(2), 281–291. https://doi.org/10.1016/s0169‐2070(96)00719‐4.

  25. Hassani, H., & Silva, E. S. (2015). A Kolmogorov‐Smirnov based test for comparing the predictive accuracy of two sets of forecasts. Econometrics, 3(3), 590–609. https://doi.org/10.3390/econometrics3030590.

  26. Ichiue, H., & Ueno, Y. (2018). A survey‐based shadow rate and unconventional monetary policy effects(No. 18‐E‐05). Institute for Monetary and Economic Studies, Bank of Japan.
    Paper not yet in RePEc: Add citation now
  27. Inoue, A., & Kilian, L. (2008). How useful is bagging in forecasting economic time series? A case study of us consumer price inflation. Journal of the American Statistical Association, 103(482), 511–522. https://doi.org/10.1198/016214507000000473.

  28. Junttila, J. (2001). Structural breaks, ARIMA model and Finnish inflation forecasts. International Journal of Forecasting, 17(2), 203–230. https://doi.org/10.1016/s0169‐2070(00)00080‐7.

  29. Krippner, L. (2015a). Zero lower bound term structure modeling: A practitioner’s guide. Palgrave‐Macmillan.
    Paper not yet in RePEc: Add citation now
  30. Krippner, L. (2015b). A comment on Wu and Xia (2015), and the case for two‐factor shadow short rates. Centre for Applied Macroeconomic Analysis. Australian National University. CAMA Working Paper 48/2015.

  31. Krippner, L. (2016). Documentation for measures of monetary policy. Reserve Bank of New Zealand.
    Paper not yet in RePEc: Add citation now
  32. Kunovac, D. (2007). Factor model forecasting of Inflation in Croatia. Financial Theory and Practice, 31(4), 371–393.

  33. Kuusela, A., & Hännikäinen, J. (2017). What do the shadow rates tell us about future inflation? University Library of Munich. MPRA Paper 80542.

  34. Lahiri, K., & Liu, F. (2006). Modelling multi‐period inflation uncertainty using a panel of density forecasts. Journal of Applied Econometrics, 21(8), 1199–1219. https://doi.org/10.1002/jae.880.

  35. Lee, U. (2012). Forecasting inflation for inflation‐targeted countries: A comparison of the predictive performance of alternative inflation forecasting models. The Journal of Business and Economic Studies, 18(1), 75.
    Paper not yet in RePEc: Add citation now
  36. Lombardi, M. J., & Zhu, F. (2014). A shadow policy rate to calibrate US monetary policy at the zero lower bound. Bank for International Settlements. No. 452.

  37. Manzan, S., & Zerom, D. (2008). A bootstrap‐based non‐parametric forecast density. International Journal of Forecasting, 24(3), 535–550. https://doi.org/10.1016/j.ijforecast.2007.12.004.
    Paper not yet in RePEc: Add citation now
  38. Mehrotra, A., & Sánchez‐Fung, J. R. (2008). Forecasting inflation in China. China Economic Journal, 1(3), 317–322. https://doi.org/10.1080/17538960802567818.

  39. Monteforte, L., & Moretti, G. (2013). Real‐time forecasts of inflation: The role of financial variables. Journal of Forecasting, 32(1), 51–61. https://doi.org/10.1002/for.1250.
    Paper not yet in RePEc: Add citation now
  40. Nelson, C. R., & Siegel, A. F. (1987). Parsimonious modeling of yield curves. Journal of Business, 60(4), 473–489. https://doi.org/10.1086/296409.

  41. Orphanides, A., & Van Norden, S. (2005). The reliability of inflation forecasts based on output gap estimates in real time. Journal of Money, Credit, and Banking, 37(3), 583–601. https://doi.org/10.1353/mcb.2005.0033.

  42. Politis, D. N., & Romano, J. P. (1992). A circular block‐resampling procedure for stationary data. In R. LePage & L. Billard (Eds.), Exploring the limits of bootstrap (Vol. 263, p. 270). Wiley.
    Paper not yet in RePEc: Add citation now
  43. Poncela, P., & Senra, E. (2006). A two factor model to combine US inflation forecasts. Applied Economics, 38(18), 2191–2197. https://doi.org/10.1080/00036840500427296.

  44. Rich, R., & Tracy, J. (2010). The relationships among expected inflation, disagreement, and uncertainty: Evidence from matched point and density forecasts. The Review of Economics and Statistics, 92(1), 200–207. https://doi.org/10.1162/rest.2009.11167.

  45. Ristiniemi, A., & de Rezende, R. B. (2018). A shadow rate without a lower bound constraint (Vol. 178). Riksbank Research Paper Series.
    Paper not yet in RePEc: Add citation now
  46. Salisu, A. A., & Isah, K. O. (2018). Predicting US inflation: Evidence from a new approach. Economic Modelling, 71, 134–158. https://doi.org/10.1016/j.econmod.2017.12.008.

  47. Schmidt, S. (2016). The effective lower bound: Some implications for inflation dynamics beyond the current low interest rate environment. ECB Research Bulletin, 29.

  48. Svensson, L. E. (1994). Estimating and interpreting forward rates: Sweden 1992‐94. National Bureau of Economic Research. Working Paper No 4871.
    Paper not yet in RePEc: Add citation now
  49. Timmerman, A. (2000). Editorial: Density forecasting in economics and finance. Journal of Forecasting, 19(4), 231–234. https://doi.org/10.1002/1099‐131x(200007)19:4<231::aid‐for771>3.0.co;2‐#.
    Paper not yet in RePEc: Add citation now
  50. Wu, J. C., & Xia, F. D. (2016). Measuring the macroeconomic impact of monetary policy at the zero lower bound. Journal of Money, Credit, and Banking, 48(2–3), 253–291. https://doi.org/10.1111/jmcb.12300.

  51. Wu, J. C., & Xia, F. D. (2017). Time‐varying lower bound of interest rates in Europe (pp. 17–06). Chicago Booth Research Paper.
    Paper not yet in RePEc: Add citation now

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  50. The financial stability dark side of monetary policy. (2017). Venditti, Fabrizio ; Conti, Antonio ; Alessandri, Piergiorgio.
    In: Temi di discussione (Economic working papers).
    RePEc:bdi:wptemi:td_1121_17.

    Full description at Econpapers || Download paper

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