Palgrave Handbook of Econometrics: Applied Econometrics

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236 Recent Developments in Density Forecasting


Fair, R.C. (1980) Estimating the predictive accuracy of econometric models.International
Economic Review 21 , 355–78.
Fair, R.C. (1984)Specification, Estimation and Analysis of Macroecometric Models. Cambridge,
Mass.: Harvard University Press.
Fernandez, C., E. Ley and M.F.J. Steel (2001) Benchmark priors for Bayesian model averaging.
Journal of Econometrics 100 (2), 381–427.
Fernandez-Villaverde, J. and J. Rubio-Ramirez (2004) Comparing dynamic equilibrium
economies to data: a Bayesian approach.Journal of Econometrics 123 , 153–87.
Garratt, A., K. Lee, M.H. Pesaran and Y. Shin (2003) Forecast uncertainties in macroecono-
metric modelling: an application to the UK economy.Journal of the American Statistical
Association 98 , 829–38.
Garratt, A., K. Lee, M. Pesaran and Y. Shin (2006)Global and National Macroeconometric
Modelling: A Long Run Structural Approach. Oxford: Oxford University Press.
Genest, C. and K.J. McConway (1990) Allocating the weights in the linear opinion pool.
Journal of Forecasting 9 , 53–73.
Genest, C. and J. Zidek (1986) Combining probability distributions: a critique and an
annotated bibliography.Statistical Science 1 , 114–35.
Gerard, H. and K. Nimark (2008) Combining multivariate density forecasts using predictive
criteria. RBA Discussion Paper 2008-02.
Geweke, J. and G. Amisano (2008) Optimal prediction pools. Working Paper, Department of
Economics, University of Iowa.
Geweke, J. and C. Whiteman (2006), Bayesian forecasting. In G. Elliott, C.W.J. Granger and
A. Timmermann (eds.),Handbook of Economic Forecasting, Volume 1, pp. 3–80. Amsterdam:
North-Holland.
Giacomini, R. and H. White (2006) Tests of conditional predictive ability.Econometrica 74 ,
1545–78.
Giordani, P. and P. Söderlind (2003) Inflation forecast uncertainty.European Economic Review
47 , 1037–59.
Gneiting, T., F. Balabdaoui and A.E. Raftery (2007) Probabilistic forecasts, calibration and
sharpness.Journal of the Royal Statistical Society: Series B 69 , 243–68.
Gneiting, T. and A.E. Raftery (2007) Strictly proper scoring rules, prediction, and estimation.
Journal of the American Statistical Association 102 , 359–78.
Gonzalez-Rivera, G., Z. Senyuz and E. Yoldas (2007)Autocontours: Dynamic Specification
Testing. Riverside, Calif.: Department of Economics, UC Riverside.
Granger, C.W.J. (1969) Prediction with a generalized cost of error functionOperational Research
Quarterly 20 , 199–207.
Granger, C.W.J. and Y. Jeon (2004) Thick modeling.Economic Modelling 21 , 323–43.
Granger, C.W.J. and M. Machina (2006) Forecasting and decision theory. In G. Elliott, C.W.J.
Granger and A. Timmermann (eds.)Handbook of Economic Forecasting, Volume 1, pp. 81–98.
Amsterdam: North-Holland.
Granger, C.W.J. and M.H. Pesaran (2000) Economic and statistical measures of forecast
accuracy.Journal of Forecasting 19 , 537–60.
Granger, C.W.J. and R. Ramanathan (1984) Improved methods of combining forecasts.Journal
of Forecasting 3 , 197–204.
Granger, C.W.J., H. White and M. Kamstra (1989) Interval forecasting: an analysis based upon
ARCH-quantile estimators.Journal of Econometrics 40 , 87–96.
Hall, S.G. (1986) The application of stochastic simulation techniques to the National
Institute’s Model 7.Manchester School 54 ,180–201.
Hall, S.G. andS.G.B.Henry (1988)Macroeconomic Modelling.Amsterdam: North-Holland.
Hall, S.G. and J. Mitchell (2004) Density forecast combination. National Institute of Economic
and Social Research Discussion Paper No. 249.
Hall, S.G. and J. Mitchell (2007) Combining density forecasts. International Journal of
Forecasting 23 , 1–13.

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