[1] Ager, P., Kappler, M., and Osterloh, S. (2009) The accuracy and eciency of the Consensus Forecasts: A further application and extension of the pooled approach. International Journal of Forecasting, 25(1), 167-181.
[10] Champagne, J., Bellisle, G., and Sekkel R. (2018) Evaluating the Bank of Canada sta economic projections using a new database of real-time data and forecasts. Bank of Canada Sta Working Paper, 2018-52.
[11] Ciccarelli, M., and Osbat, C. (2017) Low ination in the euro area: Causes and consequences. ECB Occasional Paper Series, 181.
[12] Clark, T. E., and McCracken, M. W. (2001) Tests of equal forecast accuracy and encompassing for nested models. Journal of Econometrics, 105(1), 85-110.
[13] Clark, T. E., and McCracken, M. W. (2017) Tests of predictive ability for vector autoregressions used for conditional forecasting. Journal of Applied Econometrics, 32(3), 533-553.
[14] Clements, M. P., Joutz, F. and Stekler, H. O. (2007) An evaluation of the forecasts of the Federal Reserve: a pooled approach. Journal of Applied Econometrics, 22(1), 121-136.
[17] Darvas, Z. (2018) Forecast errors and monetary policy normalisation in the euro area. Bruegel, Policy Contribution, December 2018, No. 24.
[18] Diebold, F. X., and Mariano, R. S. (1995) Comparing predictive accuracy. Journal of Business and Economic Statistics, 13(3), 253-263.
- [19] Draghi, M. (2016a) Introductory statement to the press conference with Q&A. Press conference, 10 March 2016.
Paper not yet in RePEc: Add citation now
[2] Alessi, L., Ghysels, E., Onorante, L., Peach, R., and Potter, S. (2014) Central bank macroeconomic forecasting during the global nancial crisis: The European Central Bank and Federal Reserve Bank of New York experiences. Journal of Business and Economic Statistics, 32(4), 483-500.
- [21] ECB (2006) Economic and monetary developments. ECB Monthly Bulletin, June 2006, 75.
Paper not yet in RePEc: Add citation now
- [22] ECB (2009) New Procedure for constructing Eurosystem and ECB sta projection ranges. ECB publications-available online, December 2009.
Paper not yet in RePEc: Add citation now
- [23] ECB (2012) The forecast bias of euro area HICP ination. ECB Monthly Bulletin, June 2012, 68-72.
Paper not yet in RePEc: Add citation now
- [24] ECB (2013) An assessment of Eurosystem sta macroeconomic projections. ECB Monthly Bulletin, May 2013, 71-83.
Paper not yet in RePEc: Add citation now
- [25] ECB (2014) The ECBs forward guidance. ECB Monthly Bulletin, April 2014.
Paper not yet in RePEc: Add citation now
- [26] ECB (2016) A guide to the Eurosystem/ECB sta macroeconomic projection exercises. ECB publications, July 2016.
Paper not yet in RePEc: Add citation now
[27] Elliott, G., Komunjer, I., and Timmermann, A. (2005) Estimation and testing of forecast rationality under exible loss. Review of Economic Studies, 72(4), 1107-1125.
- [28] Elliott, G., and Timmermann, A. (2016) Economic forecasting. Princeton University Press.
Paper not yet in RePEc: Add citation now
[29] El-Shagi, M., Giesen, S. and Jung, A. (2016) Revisiting the relative forecast performances of Fed sta and private forecasters: A dynamic approach. International Journal of Forecasting, 32(2), 313-323.
[3] Andersson, K. M., Aranki, T., and Reslow, A. (2017) Adjusting for information content when comparing forecast performance. Journal of Forecasting, 36(7), 784-794.
[30] Faust, J., and Wright, J. H. (2008) Ecient forecast tests for conditional policy forecasts. Journal of Econometrics, 146, 293-303.
[31] Faust, J., and Wright, J. H. (2009) Comparing Greenbook and reduced form forecasts using a large real-time dataset. Journal of Business & Economic Statistics, 27(4), 468-479.
[34] Gavin, W. T. and Mandal, R. J. (2003) Evaluating FOMC forecasts. International Journal of Forecasting, 19(4), 655-667.
[35] Giacomini, R. and Rossi, B. (2010) Forecast comparisons in unstable environments. Journal of Applied Econometrics, 25(4), 595-620.
[36] Groen, J. J. J., Kapetanios, G., and Price, S. (2009) A real time evaluation of Bank of England forecasts of ination and growth. International Journal of Forecasting, 25(1), 74-80.
[37] Harvey, D. I., Leybourne, S., and Newbold, P. (1997) Testing the equality of prediction mean squared errors. International Journal of Forecasting, 13(2), 281-289.
[38] Harvey, D. I., Leybourne, S., and Newbold, P. (1998) Tests for forecast encompassing. Journal of Business and Economic Statistics, 16(2), 254-259.
[39] Harvey, D. I., and Newbold, P. (2003) The non-normality of some macroeconomic forecast errors. International Journal of Forecasting, 19(4), 635-653.
[4] Andrews, D. W. K. (1991) Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica, 59(3), 817-858.
- [40] Holden, K., and Peel, D. A. (1990) On testing for unbiasedness and eciency of forecasts. The Manchester School, 58(2), 120-127.
Paper not yet in RePEc: Add citation now
- [41] IMF-IEO (2014) IMF forecasts: Process, quality and country perspectives. IMF - Independent Evaluation Oce.
Paper not yet in RePEc: Add citation now
- [42] Jarque, C. M., and Bera, A. K. (1987) A test for normality of observations and regression residuals. International Statistical Review, 55(2), 163-172.
Paper not yet in RePEc: Add citation now
[43] Kapetanios, G., Labhard, V., and Price, S. (2008) Forecast combination and the Bank of Englands suite of statistical forecasting models. Economic Modelling, 25(4), 772-792.
- [44] Ljung, G. M., and Box, P. E. G. (1978) On a measure of a lack of t in time series models. Biometrica, 65(2), 297-303.
Paper not yet in RePEc: Add citation now
[45] Lobato, I. N., and Velasco, C. (2004) A simple test of normality for time series. Econometric Theory, 20(4), 671-689.
[46] Marcellino, M. (2000) Forecast bias and MSFE encompassing. Oxford Bulletin of Economics and Statistics, 62(4), 533-542.
[47] McCracken, M. W. (2007) Asymptotics for out of sample tests of Granger causality. Journal of Econometrics, 140(2), 719-752.
[5] Bai, J., and Ng, S. (2005) Tests for skewness, kurtosis, and normality for time series data. Journal of Business and Economic Statistics, 23(1), 49-60.
[50] Newey, W., and West, K. (1987) A simple, positive semi-denite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703-708.
[51] Newey, W., and West, K. (1994) Automatic lag selection in covariance matrix estimation. The Review of Economic Studies, 61(4), 631-653.
- [52] Pain. N., Lewis, C., Dang, T. T., Jin, Y., and Richardson, P. (2014) OECD forecasts during and after the nancial crisis: A post mortem. OECD Economics Department Working Papers, No. 1107.
Paper not yet in RePEc: Add citation now
[53] Paloviita, M., Haavio M., Jalasjoki P., and Kilponen, J. (2017) What does below, but close to, two percent mean? Assessing the ECBs reaction function with real time data. Bank of Finland Research Discussion Papers, 29/2017.
[54] Patton, A. J., and Timmermann, A. (2007a) Properties of optimal forecasts under asymmetric loss and nonlinearity. Journal of Econometrics, 140(2), 884-918.
[55] Patton, A. J., and Timmermann, A (2007b) Testing forecast optimality under unknown loss. Journal of the American Statistical Association, 102(480), 1172-1184.
[56] Patton, A. J., and Timmermann, A (2012) Forecast rationality tests based on multi-horizon bounds. Journal of Business and Economic Statistics, 30(1), 1-17.
[57] Pesaran, H. M., and Timmermann, A. (1992) A simple non-parametric test of predictive performance. Journal of Business and Economic Statistics, 10(4), 461-465.
[58] Pesaran, H. M., and Timmermann, A. (2009) Testing dependence among serially correlated multicategory variables. Journal of the American Statistical Association, 104(485), 325-337.
- [59] Politis, D. N., and Romano, J. P. (1994) The stationary bootstrap. Journal of the American Statistical Association, 89(428), 1303-1313.
Paper not yet in RePEc: Add citation now
[6] Blaskowitz, O., and Herwartz, H. (2014) Testing the value of directional forecasts in the presence of serial correlation. International Journal of Forecasting, 30(1), 30-42.
[60] Politis, D. N., and White, H. (2004) Automatic block-length selection for the dependent bootstrap. Econometric Reviews, 23(1), 53-70.
- [61] Psaradakis, Z., and Vàvra, M. (2018) Normality tests for dependent data: large-sample and bootstrap approaches. Communications in Statistics - Simulation and Computation, 1-22.
Paper not yet in RePEc: Add citation now
[62] Reischneider, D., and Tulip, P. (2007) Gauging the uncertainty of the economic outlook from historical forecasting errors. Finance and Economics Discussion Series, Federal Reserve Board, 60.
- [65] Tulip, P. (2006) Has the economy become more predictable? Changes in Greenbook forecast accuracy. Journal of Money, Credit and Banking, 41(6), 1217-1231.
Paper not yet in RePEc: Add citation now
[66] Tulip, P., and Wallace, S. (2012) Estimates of uncertainty around the RBAs forecasts. Research Discussion Paper, Reserve Bank of Australia, 7.
[67] Vogel, L. (2007) How do the OECD growth projections for the G7 economies perform?: A post-mortem. OECD Economics Department Working Paper, 573.
[68] West, K. D. (1996) Asymptotic inference about predictive ability. Econometrica, 64(5), 1067-1084.
- [8] BoE-IEO (2015) Evaluating forecast performance. Bank of England - Independent Evaluation Oce.
Paper not yet in RePEc: Add citation now
[9] Bontemps, C., and Meddahi, N. (2005) Testing normality: A GMM approach. Journal of Econometrics, 124(1), 149-186.