Andersen, T. G., and Bollerslev, T. (1998). Answering the skeptics: Yes, standard volatility models
do provide accuate forecasts. International Economic Review, 39, 885�905.
Andersen, T. G., Bollerslev, T., Diebold, F. X., and Labys, P. (2003). Modelling and forecasting
realized volatility. Econometrica, 71, 579�625.
Carroll, C. D. (2003). Macroeconomic expectations of households and professional forecasters.
Quarterly Journal of Economics, 118, 269�298.
Christo¤ersen, P. F. (1998). Evaluating interval forecasts. International Economic Review, 39,
841�862.
Christo¤ersen, P. F., and Diebold, F. X. (1997). Optimal prediction under asymmetric loss. Econo-
metric Theory, 13, 808�817.
Clements, M. P. (1995). Rationality and the role of judgement in macroeconomic forecasting.
Economic Journal, 105, 410�420.
Clements, M. P. (2008). Internal consistency of survey respondents� forecasts: Evidence based
on the Survey of Professional Forecasters. In Castle, J. L., and Shephard, N. (eds.), The
Methodology and Practice of Econometrics: Oxford University Press. Forthcoming.
Clements, M. P., and Harvey, D. I. (2006). Forecast encompassing tests and probability forecasts.
Working paper, Department of Economics, University of Warwick.
Croushore, D. (1993). Introducing: The Survey of Professional Forecasters. Federal Reserve Bank
of Philadelphia Business Review, November/December, 3�13.
Croushore, D. (2006). Forecasting with real-time macroeconomic data. In Elliott, G., Granger,
C., and Timmermann, A. (eds.), Handbook of Economic Forecasting, Volume 1. Handbook of
Economics 24, pp. 961�982: Elsevier, Horth-Holland.
Croushore, D., and Stark, T. (2001). A real-time data set for macroeconomists. Journal of Econo-
metrics, 105, 111�130.
Diebold, F. X., Gunther, T. A., and Tay, A. S. (1998). Evaluating density forecasts: With applica-
tions to �nancial risk management. International Economic Review, 39, 863�883.
Diebold, F. X., Hahn, J. Y., and Tay, A. S. (1999a). Multivariate density forecast evaluation and
calibration in �nancial risk management: High frequency returns on foreign exchange. Review
of Economics and Statistics, 81, 661�673.
Diebold, F. X., Tay, A. S., and Wallis, K. F. (1999b). Evaluating density forecasts of in�ation:
The Survey of Professional Forecasters. In Engle, R. F., and White, H. (eds.), Cointegration, Causality and Forecasting: A Festschrift in Honour of Clive Granger, pp. 76�90. Oxford:
Oxford University Press.
Ehrbeck, T., and Waldmann, R. (1996). Why are professional forecasters biased? agency versus
behavioral explanations. The Quarterly Journal of Economics, 111(1), 21�40.
Elliott, G., Komunjer, I., and Timmermann, A. (2005a). Biases in macroeconomic forecasts: Irra-
tionality or asymmetric loss. Journal of the European Economic Association. Forthcoming.
Elliott, G., Komunjer, I., and Timmermann, A. (2005b). Estimation and testing of forecast ratio-
nality under �exible loss. Review of Economic Studies, 72, 1107�1125.
Elliott, G., and Timmermann, A. (2004). Optimal forecast combinations under general loss func-
tions and forecast error distributions. Journal of Econometrics, 122, 47�79.
Engelberg, J., Manski, C. F., and Williams, J. (2007). Comparing the point predictions and subjec-
tive probability distributions of professional forecasters. Journal of Business and Economic
Statistics. Forthcoming.
Evans, G. W., and Honkapohja, S. (2001). Learning and Expectations in Macroeconomics. Prince-
ton: Princeton University Press.
García, J. A., and Manzanares, A. (2007). Reporting biases and survey results: evidence from
European professional forecasters. ECB Working Paper No. 836, European Central Bank,
Frankfurt.
Giacomini, R., and Komunjer, I. (2005). Evaluation and Combination of Conditional Quantile
Forecasts. Journal of Business and Economic Statistics, 23, 416 �431.
Giordani, P., and Söderlind, P. (2003). In�ation forecast uncertainty. European Economic Review,
74, 1037�1060.
Granger, C. W. J. (1969). Prediction with a generalized cost of error function. Operations Research
Quarterly, 20, 199�207.
Granger, C. W. J., White, H., and Kamstra, M. (1989). Interval forecasting: An analysis based
upon ARCH-quantile estimators. Journal of Econometrics, 40, 87�96.
Kandel, E., and Pearson, N. (1995). Di¤erential interpretation of information and trade in specu-
lative markets. Journal of Political Economy, 103, 831�872.
Kandel, E., and Zilberfarb, B. Z. (1999). Di¤erential interpretation of information in in�ation
forecasts. The Review of Economics and Statistics, 81, 217�226.
Lahiri, K., and Sheng, X. (2007). Evolution of forecast disagreement in a bayesian learning model.
Discussion paper. Manuscript, University at Albany - SUNY.
Laster, D., Bennett, P., and Geoum, I. S. (1999). Rational bias in macroeconomic forecasts. The Quarterly Journal of Economics, 114(1), 293�318.
Mankiw, N. G., and Reis, R. (2002). Sticky information versus sticky prices: a proposal to replace
the new keynesian phillips curve. Quarterly Journal of Economics, 117, 1295�1328.
Mankiw, N. G., Reis, R., andWolfers, J. (2003). Disagreement about in�ation expectations. mimeo,
National Bureau of Economic Research, Cambridge MA.
Mankiw, N. G., and Shapiro, M. D. (1986). News or noise: An analysis of GNP revisions. Survey of
Current Business (May 1986), US Department of Commerce, Bureau of Economic Analysis,
20�25.
Nordhaus, W. D. (1987). Forecasting e¢ ciency: Concepts and applications. Review of Economics
and Statistics, 69, 667�674.
Ottaviani, M., and Sorensen, P. N. (2006). The strategy of professional forecasting. Journal of
Financial Economics, 81, 441�466.
Patton, A. J., and Timmermann, A. (2007). Testing forecast optimality under unknown loss.
Journal of the American Statistical Association, 102, 1172�1184.
Pesaran, M. H., and Weale, M. (2006). Survey expectations. In Elliott, G., Granger, C., and Tim-
mermann, A. (eds.), Handbook of Economic Forecasting, Volume 1. Handbook of Economics
24, pp. 715�776: Elsevier, Horth-Holland.
Romer, C. D., and Romer, D. H. (2000). Federal Reserve information and the behaviour of interest
rates. American Economic Review, 90, 429�457.
Stekler, H. O. (2002). The rationality and e¢ ciency of individuals�forecasts. In Clements, M. P.,
and Hendry, D. F. (eds.), A Companion to Economic Forecasting, pp. 222�240: Oxford:
Blackwells.
Zellner, A. (1986). Biased predictors, rationality and the evaluation of forecasts. Economics Letters,
21, 45�48.