Table Of Content

NH. iva is qfea riig ELSEVIER International Journal of Forecasting 15 (1999) 463-464 www.elsevier.com/locate/ijforecast Author Index Volume 15 (1999) (The issue number is given in parentheses) Albertson, K. and J. Aylen, Forecasting using a Fernandez-Rodriguez, F., S. Sosvilla-Rivero and periodic transfer function: with an application to J. Andrada-Félix, Exchange-rate forecasts the UK price of ferrous scrap (4) 409-419 with simultaneous nearest-neighbour methods: Andrada-Feélix, J., see Fernandez-Rodriguez, F. (4) 383-392 evidence from the EMS (4) 383-392 Aylen, J., see Albertson, K. (4) 409-419 Ferrell, W.R., see Ayton, P. (4) 377-382 Ayton, P., W.R. Ferrell and T.R. Stewart, Com- Fintzen, D. and H.O. Stekler, Why did forecasters mentaries on ‘‘The Delphi technique as a fail to predict the 1990 recession? (3) 309-323 forecasting tool: issues and analysis’’ by Rowe Fischer, I. and N. Harvey, Combining forecasts: and Wright (4) 377-382 What information do judges need to outperform the simple average? (3) 227-246 Batchelor, R., see Sigelman, L. (2) 125-126 Franses, P.H. and H. Ghijsels, Additive outliers, Birchenhall, C.R., see Osborn, D.R. (1) 27- 47 GARCH and forecasting volatility (1) 1- 9 Boe, C., see Tuljapurkar, S. (3) 259-271 Franses, P.H., see Eisinga, R. (2) 185-199 Boulier, B.L. and H.O. Stekler, Are sports seed- ings good predictors?: an evaluation (1) 83- 91 Ghijsels, H., see Franses, P.H. (1) 1- 9 Brown, L.B. and H.W. Chappell Jr., Forecasting Goodwin, P. and R. Lawton, On the asymmetry of presidential elections using history and polls (2) 127-135 the symmetric MAPE (4) 405-408 Bunn, D.W., see Taylor, J.W. (3) 325-339 Bunn, D.W. and A.L. Vassilopoulos, Comparison of Harvey, N., see Fischer, I. (3) 227-246 seasonal estimation methods in multi-item Heravi, S., see Osborn, D.R. (1) 27- 47 (4) 431-443 short-term forecasting Holbrook, T.M. and J.A. DeSart, Using state polls to forecast presidential election outcomes in the Cao, L. and A.S. Soofi, Nonlinear deterministic American states (2) 137-142 forecasting of daily dollar exchange rates (4) 421-430 Chappell Jr., H.W., see Brown, L.B. (2) 127-135 Jéréme, B., V. JérOme and M.S. Lewis-Beck, Polls fail in France: forecasts of the 1997 DeSart, J.A., see Holbrook, T.M. (2) 137-142 legislative election (2) 163-174 Diamantopoulos, A. and H. Winklhofer, The Jérome, V., see Jérome, B. (2) 163-174 impact of firm and export characteristics on the accuracy of export sales forecasts: evidence Kim, J.H., Asymptotic and bootstrap prediction from UK exporters (1) 67- 81 regions for vector autoregression (4) 393-403 Egginton, D.M., Testing the efficiency and Lawton, R., see Goodwin, P. (4) 405-408 rationality of City forecasts (1) 57- 66 Lewis-Beck, M.S., see JérOme, B. (2) 163-174 Eisinga, R., P.H. Franses and M. Ooms, Forecast- Lewis-Beck, M.S. and C. Tien, Voters as fore- ing long memory left-right political orienta- casters: a micromodel of election prediction (2) 175-184 tions (2) 185-199 McKenzie, M.D., Power transformation and fore- Falk, B., Fitting autoregressive trend stationary casting the magnitude of exchange rate changes (1) 49- 55 models with finite samples (1) 11- 25 Mest, D.P. and E. Plummer, Transitory and persis- PII: S0169-2070(99)00027-8 4o4 Author Index tent earnings components as reflected in Stambough, S.J. and G.R. Thorson, Toward analysts’ short-term and long-term earnings stability in presidential forecasting: the develop- forecasts: evidence from a nonlinear model (3) 291-208 ment of a multiple indicator model (2) 143-152 Miller, D., see Williams, D.W. (3) 273-289 Stekler, H., see Sigelman, L. (2) 125-126 Mills, T.C. and G.T. Pepper, Assessing the fore- Stekler, H.O., see Boulier, B.L. (1) 83- 91 casters: an analysis of the forecasting records of Stekler, H.O., see Fintzen, D. (3) 309-323 the Treasury, the London Business School and Stewart, T.R., see Ayton, P. (4) 377-382 the National Institute (3) 247-257 Ooms, M., see Eisinga, R. (2) 185-199 Taylor, J.W. and D.W. Bunn, Investigating im- provements in the accuracy of prediction inter- Osborn, D.R., S. Heravi and C.R. Birchenhall, vals for combinations of forecasts: A simulation Seasonal unit roots and forecasts of two-digit study (3) 325-339 European industrial production (1) 27- 47 Thorson, G.R., see Stambough, S.J. (2) 143-152 Pepper, G.T., see Mills, T.C. (3) 247-257 Thrasher, M., see Rallings, C. (2) 153-162 - Tien, C., see Lewis-Beck, M.S. (2) 175-184 Plummer, E., see Mest, D.P. (3) 291-208 Tuljapurkar, S. and C. Boe, Validation, prob- ability-weighted priors, and information in sto- Rallings, C. and M. Thrasher, Local votes, na- chastic forecasts (3) 259-271 tional forecasts — using local government by- elections in Britain to estimate party support (2) 153-162 Rowe, G. and G. Wright, The Delphi technique as (4) 431-443 Vassilopoulos, A.I., see Bunn, D.W. a forecasting tool: issues and analysis (4) 353-375 Scott Armstrong, J., Introduction to paper and Williams, D.W. and D. Miller, Level-adjusted commentaries on the Delphi technique (4) 351-352 exponential smoothing for modeling planned Sigelman, L., R. Batchelor and H. Stekler, Politi- discontinuities (3) 273-289 cal forecasting (2) 125-126 Winklhofer, H., see Diamantopoulos, A. (1) 67- 81 Soofi, A.S., see Cao, L. (4) 421-430 Wright, G., see Rowe, G. (4) 353-375 Sosvilla-Rivero, S., see Fernandez-Rodriguez, F. (4) 383-392