Armstrong, J. S. (2001), Combining forecasts, in Armstrong, J. S. (ed.), The Principles of Forecasting: A Handbook for Researchers and Practitioners, Norwell, MA: Kluwer.
Armstrong, J. S. and Pagell, R. (2003), The ombudsman: Reaping benefits from management research: Lessons from the forecasting principles project, Interfaces, 33, 91–7.
Athanasopoulos, G. and Hyndman, R. J. (2011), The value of feedback in forecasting competitions, International Journal of Forecasting, 27, 845–9.
Auster, P. (2012) Winter Journal, London: Picador.
Balzer, W. K., Sulsky, L. M., Hammer, L. B. and Sumner, K. E. (1992), Task information, cognitive information, or functional validity information: Which components of cognitive feedback affect performance?, Organizational Behavior and Human Decision Processes, 53, 35–54.
Barber, B. and Odean, T. (2001), Boys will be boys: Gender, overconfidence, and common stock investment, Quarterly Journal of Economics, 116, 261–92.
Belsley, D. A. (1988), Modeling and forecasting reliability, International Journal of Forecasting, 4, 427–47.
Beyer, S. and Bowden, E. (1997), Gender differences in self-perceptions: Convergent evidence from three measures of accuracy and bias, Personality and Social Psychology Bulletin, 23, 157–72.
Blattberg, R. C. and Hoch, S. J. (1990), Database models and managerial intuition: 50% model + 50% manager, Management Science, 36, 887–99.
Björkman, M. (1972), Feedforward and feedback as determiners of knowledge and policy-notes on a neglected issue, Scandinavian Journal of Psychology, 13, 152–8.
Bolger, F. and Önkal-Atay, D. (2004), The effects of feedback on judgmental interval predictions, International Journal of Forecasting, 20, 29–39.
Boulaksil, Y. and Franses, P. H. (2009), Experts’ stated behavior, Interfaces, 39, 168–71.
Bunn, D. W. (1992), Synthesis of expert judgment and statistical forecasting models or decision support, in Wright, G. and Bolger, F. (eds.), Expertise and Decision Support, New York: Plenum, 251–68.
Bunn, D. W. and Salo, A. A. (1996), Adjustment of forecasts with model consistent expectations, International Journal of Forecasting, 12, 163–70.
Camerer, Colin F. (1989), Does the basketball market believe in the ‘hot hand’?, American Economic Review, 74, 1257–61.
Chen, C. and Liu, L.-M. (1993), Joint estimation of model parameters and outlier effects in time series, Journal of the American Statistical Association, 88, 284–97.
Chevillon, G. (2007), Direct multi-step estimation and forecasting, Journal of Economic Surveys, 21, 746–85.
Chang, C.-L., Franses, P. H. and McAleer, M. (2011), How accurate are government forecasts of economic fundamentals? The case of Taiwan, International Journal of Forecasting, 27, 1066–75.
Chang, C.-L., de Bruijn, B., Franses, P. H. and McAleer, M. (2013), Analyzing fixed-event forecast revisions, International Journal of Forecasting, 29, 622–7.
Christoffersen, P. and Diebold, F. X. (1996), Further results on forecasting and model selection under asymmetric loss, Journal of Applied Econometrics, 11, 561–71.
Christoffersen, P. and Diebold, F. X. (1997), Optimal prediction under asymmetric loss, Econometric Theory, 13, 808–17.
Clark, T. E. and McCracken, M. W. (2001), Tests of equal forecast accuracy and encompassing for nested models, Journal of Econometrics, 105, 85–110.
Clark, T. E. and McCracken, M. W. (2005), Evaluating direct multi-step forecasts, Econometric Reviews, 24, 369–404.
CPB (1992), FKSEC, A Macro-econometric Model for the Netherlands, Leiden: Stenfert Kroese.
CPB (2003), SAFE, A quarterly model of the Dutch economy for short-term analyses, CPB Document 42.
Croson, R. and Gneezy, U. (2009), Gender differences in preferences, Journal of Economic Literature, 47, 448–74.
Croson, R. and Gneezy, U. (1979), The robust beauty of improper linear models in decision making, American Psychologist, 34, 571–82.
De Bondt, W. F. M. and Thaler, R. H. (1987), Further evidence on investor overreaction and stock market seasonality, Journal of Finance, 42, 557–81.
De Bruijn, B. and Franses, P. H. (2012), Managing sales forecasters, Tinbergen Institute Discussion Paper 12–131/III, Erasmus University Rotterdam.
Diamantopoulos, A. and Mathews, B. P. (1989), Factors affecting the nature and effectiveness of subjective revision in sales forecasting: An empirical study, Managerial and Decision Economics, 10, 51–9.
Diebold, F. X. and Mariano, R. S. (1995), Comparing predictive accuracy, Journal of Business and Economic Statistics, 13, 253–63.
Don, H. (2004), How econometric models help policy makers: theory and practice, CPB Discussion Paper 27, The Hague.
Don, H. and Verbruggen, J. P. (2006), Models and methods for economic policy: 60 years of evolution at CPB, Statistica Neerlandica, 60, 145–70.
Donihue, M. R. (1993), Evaluating the role judgment plays in forecast accuracy, Journal of Forecasting, 12, 81–92.
Durham, G. R., Hertzel, M. G. and Martin, J. S. (2005), The market impact of trends and sequences in performance: New evidence, Journal of Finance, 60, 2551–69.
Eckel, C. C. and Grossman, P. J. (2008), Forecasting risk attitudes: An experimental study using actual and forecast gamble attitudes, Journal of Economic Behavior and Organization, 68, 1–17.
Edmundson, R., Lawrence, M. and O’Connor, M. (1988), The use of non time series information in time series forecasting, Journal of Forecasting, 7, 201–12.
Elliott, G., Komunjer, I. and Timmermann, A. (2005), Estimation and testing of forecast rationality under flexible loss, Review of Economic Studies, 72, 1107–25.
Eriksson, K. and Simpson, B. (2010), Emotional reactions to losing explain gender differences in entering a risky lottery, Judgment and Decision Making, 3, 159–63.
Ferguson, T. (1967), Mathematical Statistics: A Decision Theoretic Approach, New York: Academic Press.
Fildes, R., and Goodwin, P. (2007), Good and bad judgment in forecasting: Lessons from four companies, Foresight: The International Journal of Applied Forecasting, 8, 5–10.
Fildes, R., Goodwin, P., Lawrence, M. and Nikolopoulos, K. (2009), Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning, International Journal of Forecasting, 25, 3–23.
Fischoff, B. (1988), Judgemental aspects of forecasting: Needs and possible trends, International Journal of Forecasting, 4, 331–9.
Fox, A. J. (1972), Outliers in time series, Journal of the Royal Statistical Society B, 34, 350–63.
Franses, P. H. (1998), Time Series Models for Business and Economic Forecasting, Cambridge University Press.
Franses, P. H. (2004), Do we think we make better forecasts than in the past?: A survey of academics, Interfaces, 34, 466–8.
Franses, P. H. (2011a), Marketing and sales, in Clements, M. P. and Hendry, D. F. (eds.), The Oxford Handbook on Economic Forecasting, Oxford: Oxford University Press, ch. 25.
Franses, P. H. (2011b), Averaging model forecasts and expert forecasts: Why does it work?, Interfaces, 41, 177–81.
Franses, P. H. (2013a) Improving judgmental adjustment of model-based Forecasts, Mathematics and Computers in Simulation, 93, 1–8.
Franses, P. H. (2013b), Evaluating CPBs forecasts, Manuscript under revision for re-submission.
Franses, P. H., Kranendonk, H. and Lanser, D. (2011), One model and various experts: Evaluating Dutch macroeconomics forecasts, International Journal of Forecasting, 27, 482–95.
Franses, P. H. and Legerstee, R. (2009), Properties of expert adjustments on model-based SKU-level forecasts, International Journal of Forecasting, 25, 35–47.
Franses, P. H. and Legerstee, R. (2010), Do experts’ adjustments on model-based SKU-level forecasts improve forecast quality?Journal of Forecasting, 29, 331–40.
Franses, P. H. and Legerstee, R. (2011a), Experts’ adjustment to model-based SKU-level forecasts: Does the forecast horizon matter?, Journal of the Operational Research Society, 62, 537–43.
Franses, P. H. and Legerstee, R. (2011b), Combining SKU-level sales forecasts from models and experts, Experts Systems with Applications, 38, 2365–70.
Franses, P. H. and Legerstee, R. (2013), Do statistical forecasting models for SKU-level data benefit from including past expert knowledge?, International Journal of Forecasting, 29, 80–7.
Franses, P. H., Legerstee, R. and Paap, R. (2011), Estimating loss functions of experts, Tinbergen Institute Discussion Paper 177/4, Erasmus School of Economics.
Franses, P. H., McAleer, M. and Legerstee, R. (2009), Expert opinion versus expertise in forecasting, Statistica Neerlandica, 63, 334–46.
Franses, P. H., McAleer, M. and Legerstee, R. (2014), Evaluating macroeconomic forecasts: A concise review of some recent developments, Journal of Economic Surveys, 28, 195–208.
Franses, P. H. and Paap, R. (2002), Censored latent effects autoregression, with an application to US unemployment, Journal of Applied Econometrics, 17, 347–66.
Glisky, E. L. (2007), Changes in cognitive function in human aging, in Riddle, D. R. (ed.), Brain Aging: Models, Methods, Mechanisms, Boca Raton, FL: CRC Press, pp. 1–15.
Gönül, S., Önkal, D. and Goodwin, P. (2009), Expectations, use and judgmental adjustment of external financial and economic forecasts: An empirical investigation, International Journal of Forecasting, 28, 19–37.
Gönül, M. S., Önkal, D. and Lawrence, M. (2006), The effects of structural characteristics of explanations on use of a DSS, Decision Support Systems, 42, 1481–93.
Goodwin, P. (2000), Improving the voluntary integration of statistical forecasts and judgment, International Journal of Forecasting, 16, 85–99.
Goodwin, P. and Fildes, R. (1999), Judgmental forecasts of time series affected by special events: Does providing a statistical forecast improve accuracy?, Journal of Behavioral Decision Making, 12, 37–53.
Granger, C. W. J. and Morris, M. J. (1976), Time series modelling and interpretation, Journal of the Royal Statistical Society A, 139, 246–57.
Granger, C. W. J. and Newbold, P. (1986), Forecasting Economic Time Series, San Diego: Academic Press.
Gysler, M., Kruse, J. B. and Schubert, R. (2002), Ambiguity and gender differences in financial decision making: An experimental examination of competence and confidence effects, Unpublished working paper, Swiss Federal Institute of Technology.
Haitovsky, Y. And Treyz, G. I. (1972), Forecasts with quarterly macroeconomic models, equation adjustments and benchmark predictions: the U.S. experience, Review of Economics and Statistics, 54, 317–25.
Harvey, N (1995), Why are judgments less consistent in less predictable task situations?Organizational Behavior and Human Decision Processes, 63, 247–63.
Heath, C. and Tversky, A. (1991), Preference and belief: Ambiguity and competence in choice under uncertainty, Journal of Risk and Uncertainty, 4, 5–28.
Howrey, E. P., Klein, L. R. and McCarthy, M. D. (1974), Notes on testing the predictive performance of econometric models, International Economic Review, 15, 366–83.
Huss, W. R. (1986), Comparative analysis of company forecasts and advanced time-series techniques using annual electric utility energy sales data, International Journal of Forecasting, 1, 217–39.
Hyndman, R. J. (2013), Forecasting without forecasters, Keynote lecture at the 2013 International Symposium on Forecasting, Seoul, Korea.
Kahneman, D. (2012), Thinking, Fast and Slow, London: Penguin.
Kliger, D. and Levy, O. (2010), Overconfident investors and probability misjudgements, Journal of Socio-Economics, 39, 24–9.
Kranendonk, H., de Jong, J. and Verbruggen, J. (2009), Accuracy of CPB forecasts 1971–2007, CPB Memorandum 178, Netherlands Bureau of Economic Policy Analysis.
Kranendonk, H. and Verbruggen, J. (2007), SAFFIER, a multi-purpose model of the Dutch economy for short-term and medium-term analyses, CPB Document 144.
Lamont, O. A. (2002), Macroeconomic forecasts and microeconomic forecasters, Journal of Economic Behavior and Organization, 48, 265–80.
Lawrence, M., Goodwin, P., O’Connor, M. and Önkal, D. (2006), Judgemental forecasting: A review of progress over the last 25 years, International Journal of Forecasting, 22, 493–518.
Ledolter, J. (1989), The effect of additive outliers on the forecasts from ARIMA models, International Journal of Forecasting, 5, 231–40.
Legerstee, R. and Franses, P. H. (2007), Competence and confidence effects in experts’ forecast adjustments, Econometric Institute Report 2007–8–30, Erasmus School of Economics.
Legerstee, R. and Franses, P. H. (2014), Do experts’ SKU forecasts improve after feedback?Journal of Forecasting, 33, 69–79.
Legerstee, R., Franses, P. H. and Paap, R. (2011), Do experts incorporate statistical model forecasts and should they?, Tinbergen Institute Discussion Paper, 11–154/4, Erasmus University, Rotterdam.
Makridakis, S. and Hibon, M. (2000), The M3-competition: Results, conclusions and implications, International Journal of Forecasting, 16, 451–76.
Mathews, B. and Diamantopoulos, A. (1986), Managerial intervention in forecasting: An empirical investigation of forecast manipulation, International Journal of Research in Marketing, 3, 3–10.
Mathews, B. and Diamantopoulos, A. (1989), Judgmental revision of statistical forecasts: A longitudinal extension. Journal of Forecasting, 8, 129–40.
McNees, R. K. (1990), The role of judgment in macroeconomic forecast accuracy, International Journal of Forecasting, 6, 287–99.
Nordhaus, W. D. (1987), Forecasting efficiency: Concepts and application, Review of Economics and Statistics, 69, 667–74.
Patton, A. J. and Timmermann, A. (2007a), Properties of optimal forecasts under asymmetric loss and nonlinearity, Journal of Econometrics, 140, 884–918.
Patton, A. J. and Timmermann, A. (2007b), Testing forecast optimality under unknown loss, Journal of the American Statistical Association, 102, 1172–84.
Powell, M. and Ansic, D. (1997), Gender differences in risk behaviour in financial decision-making: An experimental analysis, Journal of Economic Psychology, 18, 605–28.
Rabin, M. (2002), Inference by believers in the Law of Small Numbers, Quarterly Journal of Economics, 117, 775–816.
Remus, W. E.O’Connor, M. J. and Griggs, K. (1996), Does feedback improve the accuracy of recurrent judgmental forecasts?, Organizational Behavior and Human Decision Processes, 66, 22–30.
Sanders, N. R. (1992), Accuracy of judgmental forecasts: A comparison, Omega, 20, 353–364.
Sanders, N. R. (1997), The impact of task properties feedback on time series judgmental forecasting tasks, Omega: The International Journal of Management Science, 25, 135–144.
Sanders, N. R. and Ritzman, L. (2001), Judgemental adjustments of statistical forecasts, in Armstrong, J. S. (ed.), Principles of Forecasting, New York: Kluwer.
Shanteau, J. (1992), The psychology of experts: An alternative view, in Wright, G. and Bolger, F. (eds.), Expertise and Decision Support, New York: Plenum, pp. 11–23.
Simon, H. A. (1992), What is an explanation of behavior?, Psychological Science, 3, 150–61.
Singh-Manoux, A., Kivimaki, M., Glymour, M., Elbaz, A., Berr, C., Ebmeier, K. B., Ferrie, J. E. and Dugravot, A. (2012), Timing of onset of cognitive decline: Results from Whitehall II prospective cohort study, British Medical Journal, 344, d7622.
Stekler, H. O. (2007), The future of macroeconomic forecasting: Understanding the forecasting process, International Journal of Forecasting, 23, 237–48.
Stone, E. R. and Opel, R. B. (2000), Training to improve calibration and discrimination: The effects of performance and environmental feedback, Organizational Behavior and Human Decision Processes, 83, 282–309.
Taleb, N. N. (2007), The Black Swan: The Impact of the Highly Improbable, New York: Random House.
Tetlock, P. E. (2005), Expert Political Judgment: How Good is It? How Can We Know?, Princeton University Press.
Timmermann, A. (2006), Forecast combinations, in Elliott, G., Granger, C. W. J. and Timmermann, A. (eds.), Handbook of Economic Forecasting, Vol. I, Amsterdam: Elsevier, pp. 135–96.
Tsay, R. S. (1988), Outliers, level shifts, and variance changes in time series, Journal of Forecasting, 7, 1–20.
Turner, D. S. (1990), The role of judgment in macroeconomic forecasting, Journal of Forecasting, 9, 319–45.
Tversky, A. and Kahneman, D. (1971), Belief in the Law of Small Numbers, Psychological Bulletin, 76, 105–10.
Varian, H. (1975), A Bayesian approach to real estate assessment, in Fienberg, S. and Zellner, A. (eds.), Studies in Bayesian Econometrics and Statistics in Honor of Leonard J. Savage, Amsterdam: North Holland, pp. 195–208.
Welch, E., Bretschneider, S. and Rohrbaugh, J. (1998), Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting, International Journal of Forecasting, 14, 95–110.
West, K. D. (1996), Asymptotic inference about predictive ability, Econometrica, 64, 1067–84.
Willemain, T. R. (1989), Graphical adjustment of statistical forecasts, International Journal of Forecasting, 5, 179–85.
Yaniv, I. and Kleinberger, E. (2000), Advice taking in decision making: egocentric discounting and reputation formation, Organizational Behavior and Human Decision Processes, 83, 260–81.
Zellner, A. (1986), Bayesian estimation and prediction under asymmetric loss functions, Journal of the American Statistical Association, 81, 446–51.
