Palgrave Handbook of Econometrics: Applied Econometrics

(Grace) #1
Stephen G. Hall and James Mitchell 237

Hamilton, J.D. (1994).Time Series Analysis. Princeton: Princeton University Press.
Harvey, A.C., E. Ruiz and N. Shephard (1994) Multivariate stochastic variance models.Review
of Economics and Statistics 61 , 247–64.
Hendry, D.F. and M.P. Clements (2004) Pooling of forecasts.Econometrics Journal 7 , 1–31.
Heskes, T. (1998) Selecting weighting factors in logarithmic opinion pools.Advances in
Neural Information Processing Systems 10 , 266–72.
Hoeting, J.A., D. Madigan, A.E. Raftery and C.T. Volinsky (1999) Bayesian model averaging:
a tutorial.Statistical Science 14 , 382–417.
Hong, Y. (2002)Evaluation of out-of-sample probability density forecasts. Cornell University
Discussion Paper.
Hong, Y., H. Li and F. Zhao (2004) Out-of-sample performance of discrete-time spot interest
rate models.Journal of Business and Economic Statistics 22 , 457–73.
Jacquier, E., N. Polson and P. Rossi (1995) Models and priors for multivariate stochastic
volatility. CIRANO Working Paper 1995–18.
Jore, A.S., J. Mitchell and S.P. Vahey (2008) Combining forecast densities from VARs with
uncertain instabilities. NIESR Discussion Paper No. 303.
Jouini, M.N. and R.T. Clemen (1996) Copula models for aggregating expert opinions.
Operations Research 44 , 444–57.
Kapetanios, G., V. Labhard and S. Price (2006) Forecasting using predictive likelihood model
averaging.Economics Letters 91 , 373–9.
Kapetanios, G., V. Labhard and S. Price (2008). Forecasting using Bayesian and information-
theoretic model averaging: an application to UK inflation.Journal of Business and Economic
Statistics 26 , 33–41.
Kascha, C. and F. Ravazzolo (2008) Combining density forecasts: some cross country evidence.
Discussion Paper, Norges Bank.
Kim, S., N. Shephard and S. Chib (1998) Stochastic volatility: likelihood inference and
comparison with ARCH models.Review of Economics and Statistics 65 , 361–93.
Kitamura, Y. and M. Stutzer (1997) An information-theoretic alternative to Generalized
Methods of Moments estimation.Econometrica 65 , 861–74.
Knight, F. (1921)Risk, Uncertainty and Profit, Boston, Mass.: Houghton Mifflin.
Koop, G. (2003)Bayesian Econometrics. Chichester: John Wiley & Sons.
Lahiri, K. and F. Liu (2006) Modelling multi-period inflation uncertainty using a panel of
density forecasts.Journal of Applied Econometrics 21 , 1199–219.
Lee, T.-H. (2007), Loss functions in time series forecasting. InInternational Encyclopedia
of the Social Science(second edition), Farmington Hills, Mich.: Macmillan Reference
USA.
Li, F. and G. Tkacz (2006) A consistent bootstrap test for conditional density functions with
time dependent data.Journal of Econometrics 127 , 863–86.
Lindley, D. (1983). Reconciliation of probability distributions.Operations Research 31 ,
866–80.
Ljungqvist, L. and T.J. Sargent (2000)Recursive Macroeconomic Theory. Cambridge: Mass.: MIT
Press.
Lutkepohl, H. (1991)Introduction to Multiple Time Series Analysis. Berlin: Springer-Verlag.
Madigan, D.M. and A.E. Raftery (1994) Model selection and accounting for model uncertainty
in graphical models using Occam’s window.Journal of the American Statistical Association
89 , 1335–46.
Mincer, J. andV. Zarnowitz (1969) The evaluation of economic forecasts. In J. Mincer (ed.),
Economic Forecasts and Expectations.New York: NBER.
Mitchell, J. (2005) The National Institute density forecasts of inflation.National Institute
Economic Review 193 , 60–9.
Mitchell, J. (2007a) Constructing bivariate density forecasts of inflation and output growth
using copulae: modelling dependence using the Survey of Professional Forecasters. NIESR
Discussion Paper No. 297.

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