Author and article index

ELSEVIER

International

Journat

Author

of Forecasting

IO (1994)

611-619

and Article Index

Aaker, D.A. and R. Jacobson, 1987, The sophistication of ‘naive’ modeling, 3(3/4)449-451 Abramson, B. and A. Finizza, 1991, Using belief networks to forecast oil prices, 7(3)299-315 Adams, G., P.G. Allen and B.J. Morzuch, 1991. Probability distributions of short-term electricity peak load forecasts, 7(3)283-297 Adams, P.A., P.B. Dixon, D. McDonald, G.A. Mengher and B.R. Parmenter, 1994. Forecasts for the Australian economy using the MONASH model, 10(4)557-571 Ahlburg, D.A., 1985, Alternative forecasts of US school enrollments to 2050. When will a trend bend, 1(1)37-47 Ahlburg, D.A., 1991, Predicting the job performance of managers: What do the experts know?, 7(4)467-472 Ahlburg, D.A., 1992, A commentary on error measures, 8(1)99-111 Ahiburg, D.A. and K.C. Land, 1992, Population forecasting: Guest Editors’ introduction, 8(3)289-299 Aksu, C. and S.I. Gunter, 1992, An empirical analysis of the accuracy of SA, OLS, ERLS and NRLS combination forecasts, 8( 1)27-43 Alexander, D. and L.R., Thomas III, 1987, Monetary/Asset models of exchange rate determination. How well have they performed in the 1980’s, 3(1)53&t Alho, J.M., 1990, Stochastic methods in population forecasting. 6(4).521-530 Alho, J.M., 1992, Population forecasting theory, methods and assessments of accuracy. The magnitude of error due to different vital processes in population forecasts, 8(3)301-314 Allen, P.G., 1994, Economic forecasting in agriculture, lO(l)Bl-135 Alsem, K.J. and P.S.H. Leeflang, 1994, Predicting advertising expenditures using intention surveys, 10(2)327-337 Ang, S. and M. O’Connor, 1991, The effect of group interaction processes on performance in time series extrapolation, 7(2)141-149 Antzoulatos, A.A., 1994, The rationahty of the OECD foreign-balance forecasts for the USA, 10(3)435-439 Archibald, B.C., 1990, Parameter space of the Holt-Winters’ model, 6(2)199-209 Armstrong, J.S.. 1988, Communication of research on forecasting: The journal 4(3)321-324 Armstrong, J.S., 1988, Research needs in forecasting 4(3)449-465 Armstrong, J.S., 1989, Reflections on forecasting in the 1980’s 5(4)467-468 Armstrong, J.S., 1989, Combining forecasts: The end of the beginning or the beginning of the end? 5(4)585-588

Armstrong, J.S., 1992, Editorial policies for the publication of controversial findings, 8(4)543-544 Armstrong, J.S., 1994, The fertile field of meta-analysis: CumuIative progress in agricultural forecasting, lO( 1)147149 Armstrong, J.S. and F. Collopy, 1992, Error measures for generalizing about forecasting methods: Empirical comparisons, 8( 1)69-80 Armstrong, J.S., E.B. Dagum, R. Fildes and S. Makridakis, 1986, Publishing standards for research on forecasting, 2(2)133-134 Armstrong, J.S.. R.J. Brodie and S.H. McIntyre, 1987, Forecasting Methods for Marketing. Review of empirical research, 3(3/4)355-376 Arora, H.K. and D.J. Smyth, 1990, Forecasting the developing world. An accuracy analysis of the IMF’s forecasts, 6( 3)393-400 Artis, M.J. and W. Zhang, 1990, BVAR forecasts for the G-7, 6( 3)349-362 Ascher, W., 1985, An assessment of Simon’s methodology of natural resource forecasting, 1(2)95-105 Ascher, W., 1989, Beyond accuracy 5(4)469-484 Ascher, W.. 1993, The ambiguous nature of forecasts in project evaluation: Diagnosing the over-optimism of rateof-return analysis, 9( 1)109-115 Ash, J.C.K., D.J. Smyth and S.M. Heravi, 1990, The accuracy of OECD forecasts of the international economy. Demand, output and prices, 6(3)379-392 Ashley, R., 1988, On the relative worth of recent macroeconomic forecasts 4(3)363-376 Asku, C. and J. Narayan, 1991, Forecasting with vector ARMA and state space methods, 7(1)17-30 Assimakopoulos, V. and A. Konida, 1992, An object oriented approach to forecasting, 8(2)175-185

Baillie, R.T. and D.D. Selover, 1987, Cointegration and models of exchange rate determination, 3( 1)43-51 Barbera, A.J., 1985, Estimation and simulation of industry factor demand equations, 1(3)273-286 Bartolomei, S.M. and A.L. Sweet, 1989, A note on a comparison of exponential smoothing methods for forecasting seasonal series S(l)lll-116 Bass, F.M., 1987, Misspecification and the inherent randomness of the model are at the heart of the Brodie and de Kluyver enigma, 3(3/4)441-444 Batchelor, R. and P. Dua, 1990, Forecaster ideology, forecasting technique, and the accuracy of economic forecasts, 6( 1)3-10

612

Author

and Article

Batchelor, R. and P. Dua. 1990, Product differentiation in the economic forecasting industry, 6(3)311-316 Belsley, D.A., 1986, Model selection in regression analysis, regression diagnostics and prior knowledge, 2( 1)41-52 Belsley. D.A., 1988, Modelling and forecasting reliability 4(3)427-447 Benson, P.G. and D. Gnkal, 1992, The effects of feedback and training on the performance of probability forecasters, 8(4)559-573 Bernstein, J.I., 1988, Multiple outputs, adjustment costs and the structure of production for Bell Canada 4(2)207-219 Bessler, D.A., 1994, Economic forecasting in agriculture: Discussion, 10(1)137-138 Bewley, R. and D.G. Fiebig, 1988, A flexible logistic growth model with applications in telecommunications 4(2)177192 Bianchi, C.. G. Calzolari and J.-L. Brillet, 1987, Measuring forecast uncertainty. A review with evaluation based on a macro model of the French economy, 3(2)211-227 Bilongo, R. and R. Carbone. 1985, Adaptive model-based seasonal adjustment of time series. An empirical comparison with XII-ARIMA and SIGEX, 1(2)165-177 Bilson, J.F.O. and D.A. Hsieh, 1987, The profitability of currency speculation, 3(1)115-130 Bloom, D.E. and S. Glied, 1992, Projecting the number of new AIDS cases in the United States, 8(3)339-365 Bodo, G. and L.F. Signorini, 1987, Short-term forecasting of the industrial production index, 3(2)245-259 Boehm, E.A. and G.H. Moore, 1991, Financial market forecasts and rates of return based on leading index signals, 7(3)357-374 Bon, R., 1986, Comparative stability analysis of demand-side and supply-side input-output models, 2(2)231-235 Boothe, P. and D. Glassman, 1987. Comparing exchange rate forecasting models. Accuracy versus profitability, 3( 1)6579 Bos, E. and R.A. Bulatao, 1992, The demographic impact of AIDS in sub-Saharan Africa - Short- and long-term projections, 8(3)367-384 Boucelham, J. and T. Terisvirta, 1990, Use of preliminary values in forecasting industrial production, 6(4)463-468 Bretschneider, S., 1986, Estimating forecast variance with exponential smoothing. Some new results, 2(3)349-355 Bretschneider, S. and L. Schroeder, 1988, Evaluation of commercial economic forecasts for use in local government budgeting 4( 1)33-43 Bretschneider, S. and W.L. Gorr. 1991, Economic, organizational, and political influences on biases in forecasting state sales tax receipts, 7(4)457-466 Bretschneider, S. and W.L. Gorr, 1989, Forecasting as a science, 5(3)305-306 Bretschneider, S., W.L. Gorr, G. Grizzle and E. Klay, 1989, Political and organizational influences on the accuracy of forecasting state government revenues, 5(3)307-319 Bridges, E., A.T. Coughlan and S. Kalish, 1991, New technology adoption in an innovative marketplace: Micro- and macro-level decision making models, 7(3)257-270 Bridges, E., K.B. Ensor and J.A. Norton, 1993, Forecasting the number of competing products in high-technology markets, 9(3)399-405

Index

Briscoe, G. and R. Wilson, 1992, Forecasting economic activity rates. 8(2)201-217 Brockwell, P.J. and R.J. Hyndman, 1992, On continuoustime threshold autoregression, 8(2)157-173 Brodie, R.J. and A. Bonfrer, 1994, Conditions when market share models are useful for forecasting: further empirical results, 10(2)277-285 Brodie, R.J. and CA. De Kluyver, 1087, A comparison of the short term forecasting accuracy of econometric and naive extrapolation models of market share, 3(3/4)423437 Brodie, R.J. and C.A. De Kluyver, 1987, Reply to the commentary. 3(3/4)461-462 Brodsky, N. and P. Newbold, 1994, Late forecasts and early revisions of United States GNP, 10(3)455-460 Brown, L.D., 1988, Comparing judgmental to extrapolative forecasts: It’s time to ask why and when, 4(2)171-173 Brown. L.D., 1991, Forecast selection when all forecasts are not equally recent, 7(3)349-356 Brown, L.D., 1993, Earnings forecasting research: its implications for capital markets research, 9(3)295-320 Brown, L.D., 1993. Reply to commentaries on ‘Earnings forecasting research: its implications for capital markets research’, 9(3)343-344 Brown, P., 1993, Comments on ‘Earnings forecasting research: its implications for capital markets research’ by L Brown, 9(3)331-335 Bunn, D.W., 1985, Statistical efficiency in the linear combination of forecasts, 1(2)151-163 Bunn, D.W. and A.I. Vassilopoulos, 1993, Using group seasonal indices in multi-item short-term forecasting, 9(4)517526 Calzolari, G. and L. Panattoni, 1990, Mode predictors in nonlinear systems with identities, 6(3)317-326 Capon, N. and J.M. Hulbert, 1985, The integration of forecasting and strategic planning, 1(2)123-133 Capon, N. and P. Paliji, 1994, Strategic marketing forecasting, market segment selection and firm performance, 10(2)339-352 Carpenter, G.S. and D.M. Hanssens, 1994, Market expansion , cannibalization, and international airline pricing strategy, 10(2)313-326 Carreno, J.J. and J. Madinaveitia, 1990, A modification of time series forecasting methods for handling announced price increases, 6(4)479-484 Carter, L.R. and R.D. Lee, 1992, Modeling and forecasting US sex differentials in mortality, 8(3)393-411 Caselles-Moncho, A., 1986, An empirical comparison of cross-impact models for forecasting sales, 2(3)295-303 Cassidy, G., M.S. Kamlet and D. Nagin, 1989, An empirical examination of bias in revenue forecasts by state governments, 5(3)321-331 Chaffin, W.W. and W.K. Talley, 1989, Diffusion indexes and a statistical test for predicting turning points in business cycles, 5( 1)29-36 Chami, S.N. and D.W. Butterfield, 1989, The implications of myopic policy-making for macroeconomic performance, 5( 1)49-58 Chatfield, C., 1986, Simple is best, 2(4)401-402

Author and Article Index Chatfield, C., 1988, The future of time-series forecasting. 4(3)411-419 Chatfield, C., 1988, Apples, oranges and mean square error. 4(4)515-518 Chatfield, C., 1990, Comment on ‘Confidence intervals for non-stationary forecast errors’, by P Lefrancois. 6(4)559 Chatfield, C., 1993, Neural networks: Forecasting breakthrough or passing fad?, 9(1)1-3 Chatfield, C. and A.B. Koehler, 1991, On confusing lead time demand with h-period-ahead forecasts, 7(2)239-240 Chattield, C. and M. Yar, 1991, Prediction intervals for multiplicative Ho&Winters, 7(1)31-37 Chatfield, C., M. Hibon, M. Lawrence, T. Mills, J.K. Ord and S. Makridakis, 1993, A commentary on the M2Competition, 9( 1)23-29 Chen, D.T. and D.A. Bessler, 1990, Forecasting monthly cotton price. Structural and time series approaches. 6(1)103-113 Chen. D.T. and P.G. Allen, 1994, Economic forecasting in agriculture: Comment and reply, 10(4)597-601 Chen, Y., V. Kanetkar and D.L. Weiss, 1994, Forecasting market shares with disaggregate or pooled data: a comparison of attraction models, 10(2)263-276 Cholette. P.A. and R. Lamy, 1986, Multivariate ARIMA forecasting of irregular time series, 2(2)201-216 Christofides, L.N., 1991, In-sample and out-of-sample forecasts of wage adjustment in indexed and non-indexed labor contracts, 7(2)171-1X1 C’lemen, R.T.. 1989. Combining forecasts: A review and annotated bibliography, 5(4)559-583 Clemen. R.T. and Jr.. J.B. Guerard. 1989, Econometric GNP forecasts: Incremental information relative to naive extrapolation, 5(3)417-426 Coelho. C.H.M. and M. Tenenblat, 1992, Trading days. seasonal unit root and variance change, 8(1)61-67 Cogger, K.O., 1988, Proposals for research in time series forecasting, 4(3)403-410 Collopy, F. and J.S. Armstrong, 1992, Expert opinions about extrapolation and the mystery of the overlooked discontinuities. 8(4)575-582 Conway, R.K.. J. Hrubovcak and M. LeBlanc, 1990, A forecast evaluation of capital investment in agriculture, 6(4)509-519 Coomes, P.A., 1991, A Kalman filter formulation for noisy regional job data, 7(4)473-481 Cordier, J. and J.P. Indjehagopian, 1986, Multidimensional analysis of a commodity price system, 2(2)153-189 Corker, R.J.. S. Holly and R.G. Ellis, 1986, Uncertainty and forecast precision, 2( 1)53-69 COX. Jr., J.E., 1987, An assessment of books relevant to forecasting in marketing, 3(3/4)515-527 Cullity, J.P., 1993, Monitoring business conditions at the CIBCR, 9( 1)39-48 Cummins, J.D. and G.L. Griepentrog, 1985, Forecasting automobile insurance paid claim costs using econometric and ARIMA models, 1(3)203-215

Dagum. sions,

E.B., 1989, The 5(2)155-157

future

of the forecasting

profes-

613

Dakin, S. and J.S. Armstrong, 1989, Predicting job performance: A comparison of expert opinion and research findings, 5(2)1X7-194 Dalrymple, D.J.. 1987, Sales forecasting practices. Results from a United States Survey, 3(3/4)379-391 Danaher, P.J., 1994, Comparing naive with econometric market share models when competitors’ actions are forecast, 10(2)287-294 Danaher, P.J. and R.J. Brodie, 1992, Predictive accuracy of simple versus complex econometric market share models. Theoretical and empirical results, 8(4)613-626 Dangerfield, B.J. and J.S. Morris, 1992, Top-down or bottom-up: Aggregate versus disaggregate extrapolations. 8(2)233-241 Dasgupta, C.G., G.S. Dispensa and S. Ghose, 1994, Comparing the predictive performance of a neural network model with some traditional market response models, 10(2)235-244 Dawes, R., 1986. Forecasting one’s own preference, 2(1)514 Dawes, R., R. Fildes. M. Lawrence and J.K. Ord, 1994, The past and the future of forecasting research, lO( 1)151-159 de Alba, E., 1993, Constrained forecasting in autoregressive time series models: A Bayesian analysis. 9(1)95-108 De Bondt, W.F.M., 1993, Betting on trends: Intuitive forecasts of financial risk and return. 9(3)355-371 de Gooijer, J.G., 1990, The role of time series analysis in forecasting: A personal view, 6(4)449-451 de Gooijer, J.G. and A. Klein. 1991, On the cumulated multi-step-ahead predictions of vector autoregressive moving average processes, 7(4)501-513 de Gooijer, J.G. and K. Kumar, 1992, Some recent developments in non-linear time series modelling, testing and forecasting, 8(2)135-156 De la Torre, J. and D.H. Neckar, 1988, Forecasting political risks for international operations. 4(2)221-241 Dennis, R.L.. 1985, Forecasting and mediation: Colorado and the clean air act, 1(3)297-308 DeRoeck, R., 1991, Is there a gap between forecasting theory and practice? A personal view. 7(1)1-2 Deutsch, M., C.W.J. Granger and T. Terasvirta. 1994, The combination of forecasts using changing weights, lO( 1)4757 Dhrymes, P.J. and S.C. Perustiani, 1988, A comparison of the forecasting performance of WEFA and ARIMA time series methods, 4(1)81-101 Diebold, F.X., 1989, Forecast combination and encompassing: Reconciling two divergent literatures, 5(4)589-592 Diebold. F.X. and P. Pauly, 1990, The use of prior information in forecast combination, 6(4)503-508 Doktor, R.H. and S.M. Chandler, 1988, Limits of predictability in forecasting in the behavioral sciences, 4(1)5-14 Dutkowsk, D.H. and W.G. Foote, 1988, Forecasting discount window borrowing, 4(4)593-603 Easingwood, C.J., 1989, An analogical approach to the long term forecasting of major new product sales. 5(1)69-82 Edison, H.J. and E. Vardal, 1987, Optimal currency basket in a world of generalized floating. An application to the Nordic countries, 3(1)81-96

614

Author and Article Index

Edlund, P.-O. and S. Karlsson, 1993, Forecasting the Swedish unemployment rate: VAR vs transfer function modelhng, 9( 1)61-76 Edmonston, B. and J.S. Passel, 1992, Immigration and immigrant generations in population projections, 8(3)459476 Elkhafif, M.A.T., 1993, Energy forecasting models, simulations and price sensitivity: New formulation, 9(2)203-210 Elkhafif, M.A.T. and A.A. Kubursi, 1993, The demand for gasoline: a two stage approach. 9(4)457-465 Entorf, H., 1993, Constructing leading indicators from nonbalanced sectoral business survey series, 9(2)211-225 Epperson, J.E., S.M. Fletcher and M.F. Collins, 1987, Price forecasting and trigger price probability estimation. 3(2)281-287 Erickson, G.M.. 1987, Marketing managers need more than forecasting accuracy, 3(3/4)453-455 Fildes, R.. 1986, Long-term forecasting and the experts, 2( 1)3-4 Fildes, R., 1992, Influencing forecasting practice, 8(1)1-2 Fildes, R., 1992, The evaluation of extrapolative forecasting methods, 8( 1)81-98 Fildes, R. and S. Makridakis, 1988, Forecasting and loss functions, 4(4)545-550 Fischhoff, B., 1988, Judgmental aspects of forecasting. Needs and possible trends, 4(3)331-339 Fischhoff. B., 1994, What forecasts (seem to) mean, 10(3)387-403 Flares, B., 1989, The utilization of the Wilcoxon test to compare forecasting methods: A note. 5(4)529-535 Flores, B., 1986, Use of the sign test to supplement the percentage better statistic, 2(4)477-489 Flares, B., D.L. Olson and C. Wolfe, 1991, Judgmental adjustment of forecasts: A comparison of methods, 7(4)421-433 Foekens, E.W., P.S.H. Leeflang and D. R. Wittink. 1994, A comparison and an exploration of the forecasting accuracy of a loglinear Model at different levels of aggregation, 10(2)245-261 Franses, P.H., 1991, Seasonality, non-stationarity and the forecasting of monthly time series, 7(2)199-208 Franses, P.H. and G. Romijn, 1993, Periodic integration in quarterly UK macroeconomic variables, 9(4)467-476 Freebairn, J., 1994, The agricultural commodity market forecasting game, lO( 1)13Y-142 Fullerton. T.M.. 1989, A composite approach to forecasting state government revenues: Case study of the Idaho sales tax, .5(3)373-380 Funke, M.. 1990, Assessing the forecasting accuracy of monthly vector autoregressive models. The case of five OECD countries, 6(3)363-378 Gardner. Jr. E.S., 1993, Forecasting the failure of component parts in computer systems: A case study, 9(2)245253 Gardner, Jr., E.S. and S. Makridakis, 1988, The future of forecasting, 4(3)325-330 Garman, M.B., 1987. Perpetual currency options, 3(1)17Y184

Gtlinas, R. and P. Lefrancois, 1993, On the estimation of time-series quantiles using smoothed order statistics, 9(2)227-243 Geriner, P.T. and J.K. Ord, 1991, Automatic forecasting using explanatory variables: A comparative study, 7(2)127-140 Gerlow, M.E., S.H. Irwin and T.-R. Liu, 1993, Economic evaluation of commodity price forecasting models, 9(3)387-397 Geurts, M.D. and J.P. Kelly, 1986, Forecasting retail sales using alternative models, 2(3)261-272 Geurts, M.D. and J.P. Kelly, 1990, Comments on ‘In defense of ARIMA modeling’, by D.J. Pack, 6(4)497-499 Glazer. R., J.H. Steckel and R.S. Winer, 1990, Judgmental forecasts in a competitive environment: Rational vs. adaptive expectations, 6(2)149-162 Glennon, D., J. Lane and S. Johnson, 1987, Regional econometric models that reflect labor market relations, 3(2)299312 Goodwin, P. and G. Wright, 19Y3, Improving judgmental time series forecasting: A review of the guidance provided by research, 9(2)147-161 Gorr, W.L., 1994, Research prospective on neural network forecasting, lO(l)l-4 Gorr, W.L., D. Nagin and J. Szczpula, 1994, Comparative study of artificial neural network and statistical models for predicting student grade point averages, 10( 1)17-34 Grambsch, P. and W.A. Stahel, 1990. Forecasting demand for special telephone services, 6( 1)53-64 Grandstaff, P.J., M.E. Ferris and S.S. Chou, 1988, Forecasting competitive behavior. An assessment of AT&T’s incentive to extend its US network, 4(4)521-533 Granger, C.W.J., 1992, Forecasting stock market prices: Lessons for forecasters, 8( 1)3-13 Gregory, A.W. and M. Sampson, 1987, Testing the independence of forecast errors in the forward foreign exchange market using Markov chains. A cross-country comparison, 3(1)97-l 13 Greis, N.P. and C.Z. Gilstein. 1991, Empirical Bayes methods for telecommunications forecasting, 7(2)183-197 Guerrero, V.M., 1991, ARIMA forecasts with restrictions derived from a structural change, 7(3)339-347 Guerrero, V.M., 1993, Combining historical and preliminary information to obtain timely time series data, 9(4)477-485 Gunter, S.I., 1992, Nonnegativity restricted least squares combinations, 8( 1)45-59 Gupta, S., 1987, Testing Causality. Some caveats and a suggestion, 3(2)195-209 Hafer, R.W. and R.G. Sheehan, 1989, The sensitivity of VAR forecasts to alternative lag structures, 5(3)3YY-408 Hagerty, M.R., 1987, Conditions under which econometric models will outperform naive models, 3(3/4)457-460 Hall. S., S.G.B. Henry, J. Payne and S. Wren-Lewis, 1986, Forecasting employment. The role of forward-looking behaviour, 2(4)435-445 Hallet, A.J.H.. 1990, By how much would exchange rate stabilisation improve macroeconomic performance?. An exercise in forecasting alternative histories for the industrial economies, 6(3)407-419

Author and Article Index

Hanke, J., 1989, Forecasting in business schools. A follow-up survey, 5(2)25Y-262 Harris, J.L. and L.-M. Liu, 1993, Dynamic structural analysis and forecasting of residential electricity consumption, 9(4)437-4% Harvey, A. and R.D. Snyder, 1990, Structural time series models in inventory control, 6(2)187-198 Harvey, A. and S. Toulson, 1994, Review of ‘4Thought’, lO( 1)35-41 Harvey, E.B. and K.S.R. Murthy, 1988, Forecasting manpower demand and supply. A model for the accounting profession in Canada, 4(4)551-562 Hein, S.E. and R.E. Spudeck, 1988, Forecasting the daily federal funds rate, 4(4)581-591 Henry, S.G.B. and K. Holden, 1990, Macroeconomic forecasting, 6(3)283-284 Heuts, R.M.J. and J.H.J.M. Bronckers, 1988, Forecasting the Dutch heavy truck market. A multivariate approach, 4( 1)57-79 Hill, R.C., P.A. Cartwright and J.F. Arbaugh, 1991, The use of biased predictors in marketing research, 7(3)271-282 Hill, T., L. Marquez, M. O’Connor and W. Remus, 1994, Artificial neural network models for forecasting and decision making, lO( 1)5-15 Hogarth, R.M., 1989, On combining diagnostic ‘forecasts’: Thoughts and some evidence, 5(4)593-597 Holden, K. and A. Broomhead, 1990, An examination of vector autoregressive forecasts for the UK economy, 6( l)ll-23 Holloway. T.M., 1989, Measuring the cyclical sensitivity of federal receipts and expenditures: Simplified estimation procedures, 5(3)347-360 Holmen, J.S., 1987, A note on the value of combining short-term earnings forecasts. A test of Granger and Ramanathan, 3(2)239-243 Holmes, R.A., 1986, Leading indicators of industrial employment in British Columbia, 2( 1)87-100 Holmes, R.A. and A.F.M. Shamsuddin, 1993, Evaluation of alternative leading indicators of British Columbia industrial employment, 9( 1)77-83 Hotta, L.K., 1993, The effect of additive outliers on the estimates from aggregated and disaggregated ARIMA models. 9( 1)85-93 Howell, S.D., 1990, Paramater instability in learning curve models: Invited comments on papers by Towill and by Sharp and Price, 6(4)541-547 Hsu, W-r. and A.H. Murphy, 1986, The attributes diagram. A geometrical framework for assessing the quality of prbability forecasts, 2(3)285-293 Hung, K. and F.B. Ah, 1994, The approximation of the one-step ahead forecast error covariance for vector ARMA models, 10(1)5Y-64 Huot, G., K. Chiu and J. Higginson, 1986, Analysis of revisions in the seasonal adjustment of data using X-llARIMA model-based filters, 2(2)217-229 Huss, W.R., 1985, Comparative analysis of company forecasts and advanced time series techniques using annual electric utility energy sales data, 1(3)217-239 Huss, W.R., 1988, A move toward scenario analysis, 4(3)377-388

Janz, T. and L. Etherington, 1985, Using benefits in designing improved recruitment

615

forecasted net and selection

systems, 1(3)287-296 Jex, C., 1994, Recursive estimation as an aid to exploratory data analysis: An application to market share models, 10(3)445-453 Jonsson, B., 1994, Prediction with a linear regression model and errors in a regressor, 10(4)549-555 Joshi, H. and E. Overton, 1988, Forecasting the female labor force in Britain, 4(2)269-285 Joutz, F. and R. Trost, 1992, Using stochastic simulation to test the effect of seasonal adjustment on forecast standard errors of motor gasoline demand, 8(2)219-231 Juselius, K., 1985, Modelling short- and long-term effects in the aggregate demand for soft drinks, 1(3)253-272 Kang, H., 1990, A composite model for deterministic and stochastic trends, 6(2)175-186 Kekre, S., T.E. Morton and T.L. Smunt, 1990, Forecasting using partially known demands, 6( 1)115-125 Ketkar, K.W., 1990, A log-linear approach to disaggregated micro-level population forecasts, 6(2)241-251 Klein, P.A., 1986, Leading indicators of inflation in market economies, 2(4)403-412 Klein, P.A., 1993, Geoffrey H. Moore and dynamic statistical methods, 9(1)31-37 Kling, J.L. and D.A. Bessler, 1985, A comparison of multivariate forecasting procedures for economic time series, l( 1)5-24 Koehler, A.B., 1985, Simple vs complex extrapolation models. An evaluation in the food processing industry, l( 1)6368 Koehler, A.B., 1990, An inappropriate prediction interval, 6(4)557-558 Koehler, A.B. and E.S. Murphree, 1988, A comparison of results from state space forecasting with forecasts from the Makridakis competition, 4( 1)45-55 Kofler, E. and P. Zweifel, 1988, Exploiting linear partial information for optimal use of forecasts. With an apphcation to US economic policy, 4(1)15-32 Kolb, R.A. and H.O. Stekler, 1993, Are economic forecasts significantly better than naive predictions? An appropriate test, 9(1)117-120 Kontzalis, P., 1992, Identification of key attributes, gap analysis and simulation techniques in forecasting market potential of ethical pharmaceutical products, 8(2)243-249 Krishnamurthi, L., J. Narayan and S.P. Raj, 1989, Intervention analysis using control series and exogenous variables in a transfer function model: A case study, 5(1)21-27 Krzysztofowicz, R. and D. Long, 1991, Forecast sufficiency characteristic: Construction and application, 7( 1)39-45 Krzysztofowicz, R. and D. Long, 1991, Beta likelihood models of probabilistic forecasts, 7( 1)47-55 Kumar, V., 1994, Forecasting performance of market share models: an assessment, additional insights and guidelines, 10(2)295-312 Kumar, V and T.B. Heath, 1990, A comparative study of market share models using disaggregate data, 6(2)163-174 Kunisawa, K. and Y. Horibe, 1986, Forecasting international telecommunications traffic by the data translation method, 2(4)427-434

616 Kunst, R. and K. Neusser, 1986, A forecasting some VAR techniques, 2(4)447-456

Author

comparison

and Article

of

Lacivita, C.J. and T.G. Seaks, 1988, Forecasting accuracy and the choice of first difference or percentage change regression models. 4(2)261-268 Lahiri, K. and C. Teigland, 1987, On the normality of probability distributions of inflation and GNP forecasts, 3(2)26Y-279 Landsman, W.R. and A. Damodaran, 1989, A comparison of quarterly earnings per share forecasts using James-Stein and unconditional least squares parameter estimators, 5(4)491-500 Lawrence, M., R.H. Edmundson and M. O’Connor, 1985, An examination of the accuracy of judgmental extrapolation of time series. 1(1)25-35 Lawrence, M. and M. O’Connor, 1992, Exploring judgmental forecasting, 8( l)lS-26 Layton, A.P., L.V. Defris and B. Zehnwirth, 1986, An international comparison of economic leading indicators of telecommunications traffic, 2(4)413-425 Ledolter. J., 19X9, The effect of additive outliers on the forecasts from ARIMA models, .5(2)231-240 Lee, J.C.. 1988, Nested Rotterdam Model. Applications to marketing research with special reference to telecommunications demand, 4(2)193-206 1992, Stochastic demographic forecasting, Lee, R.D.. 8(3)315-327 Lee, R.D., 1993, Modeling and forecasting the time series of US fertility: Age distribution, range and ultimate level, 9(2) 1X7-202 Lefrancois. P.. lY89, Allowing for asymmetry in forecast errors: Results from a Monte-Carol0 study, 5(1)9Y-110 Lcfrancois, P.. 1989, Confidence intervals for non-stationary forecast errors. Some empirical results for the series in the M-competition, 5(4)553-557 Lefrancois. P., Reply to: Comments by C. Chatfield. 6(4)561 Leone, R.P.. 1987. Forecasting the effect of an environmental change on market performance. An intervention timeseries approach. 3(3/4)463-478 Lesagc. J.P., 1989, Incorporating regional wage relations in local forecasting models with a Bayesian prior, 5(1)37-47 L&age, J.P. and M. Magura, 1991, Using interindustry input-output relations as a Bayesian prior in employment forecasting models, 7(2)231-23X Lin, W.T.. 1986. Modeling and forecasting US public contruction. 2(3)31Y-331 Lin, W.T., 1989. Modeling and forecasting hospital patient movements: univariate and multiple time series approach, 5(2)1YS-208 Lippens, R.E.. 1987, Multimaturity efficient market hypotheses. Sorting out rejections in international interest and exchange rate markets, 3(1)14Y-158 Liu, L.-M.. 1986. Indentification of time series models in the presence of calendar variation, 2(3)357-372 Liu, L.-M. and M.-W. Lin, 1991. Forecasting residential consumption of natural gas using monthly and quarterly time series. 7(1)3-16 Liu. T.-R., M.E. Gerlow and S.H. Irwin, 1994, The performance of alternative VAR models in forecasting exchange rates, 10(3)41Y

Index

Lobo, G.J.. 1991, Alternative methods of combining security analysts’ and statistical forecasts of annual corporate earnings, 7( 1)57-63 Lothian, J.R., 1987, The behavior of real exchange rates, 3( 1)17-42 Liitkepohl, H., 1986, Comparison of predictors for temporally and contemporaneously aggregated time series, 2(4)461-475 MacGregor, D.G. and J.S. Armstrong, 1994, Judgmental decomposition: When does it work?, 10(4)495-506 Mahajan. V. and Y. Wind, 1988. New product forecasting models. Directions for research and implementation, 4(3)341-358 Mahmoud, E., 1089, Combining forecasts: Some managerial issues, 5(4)59Y-600 Mahmoud, E.. R. DeRoeck, R. Brown and G. Rice, 1992, Bridging the gap between theory and practice in forecasting, 8(2)251-267 Makridakis. S., 19X6, The art and science of forecasting. An assessment and future directions, 2( 1)15-39 Makridakis, S.. 1988, Metaforecasting. Ways of improving accuracy and usefulness, 4(3)467-491 Makridakis, S., 1989, Why combining works?, 5(4)601-603 Makridakis. S., 1991, Forecasting in the 21st century, 7(2)123-126 Makridakis, S., 1993, Accuracy measures: theoretical and practical concerns, 9(4)527-529 Makridakis, S. and M. Hibon, lYY1, Exponential smoothing: The effect of initial values and loss function on post-sample forecasting accuracy, 7(3)317-330 Makridakis, S., C. Chatfield, M. Hibon, M. Lawrence, T. Mills, J.K. Ord and L.F. Simmons, 1993, The M2-Competition: A real-time judgmentally based forecasting study, 9( 1)5-22 Makridakis, S., M. Hibon, E. Lusk and M. Belhadjali, 1987, Confidence intervals. An empirical investigation of the series in the M-competition, 3(3/4)48Y-508 Malinvaud, E., 1987, Analyse et Prevision. Leurs roles respectifs dans la maitrise de nos destins, 3(2)187-194 Mandy, D.M., 1989, Forecasting unemployment insurance trust funds: The case of Tennessee, 5(3)381-391 Manton, K.G., E. Stallard and B. Singer. 1992, Projecting the future size and health status of the US elderly population, 8(3)433-458 Maravall, A., 1986, An application of model-based estimation of unobserved components, 2(3)305-318 Martin, C.A. and S.F. Witt, 1989, Forecasting tourism demand: A comparison of the accuracy of several quantitative methods, .5( 1)7-19 Masarotto. G., lY90, Bootstrap prediction intervals for autoregressions. 6(2)22Y-239 Mason, A. and R. Racelis, 1992, A comparison of four methods for projecting households, 8(3)5OY-527 McClain, J.O.. 198X. Dominant tracking signals, 4(4)563572 McCurdy. T.H. and I.G. Morgan, 1987, Tests of the Martingale hypothesis for foreign currency futures with timevarying volatility. 3( 1)131-148 McDonald, J.B., 1989, Partially adaptive estimation of ARMA time series models, 5(2)217-230

Author and Article Index McKenzie, E., 1986, Error analysis for Winters’ additive seasonal forecasting system, 2(3)373-382 McKenzie, E., 1988, A note on using the integrated form of ARIMA forecasts, 4(1)117-124 McNees, S.K., 1988, On the future of macroeconomic forecasting, 4(3)359-362 McNees. S.K., 1989, Forecasts and actuals: The trade-off between timeliness and accuracy, 5(3)409-416 McNees. S.K., 1990, The role of judgment in macroeconomic forecasting accuracy, 6(3)287-299 McNown, R. and A. Rogers, 1992, Forecasting cause-specific mortality using time series methods, 8(3)413-432 Meade, N., 1993, Forecasting the return and risk on a portfolio of assets, 9(3)373-386 Merz, _I., 1991, Microsimulation - A survey of principles, developments and applications, 7( 1)77-104 Miller, C.M., R.T. Clemen and R.L. Winkler, 1991, The effect of nonstationarity on combined forecasts, 7(4)515529 Miller, D.M., 1985, The anatomy of a successful forecasting implementation, 1( 1)69-78 Miller, T. and M. Liberatore, 1993, Seasonal exponential smoothing with damped trends-An application for production planning, 9(4)509-515 Mittnik, S., 1990, Macroeconomic forecasting: experience with balanced state space models, 6(3)337-348 Moore, G.H., E.A. Boehm and A. Banerji, 1994, Using economic indicators to reduce risk in stock market investments, 10(3)405-417 Morgan, S.P. and R. Chen, 1992, Predicting childlessness for recent cohorts of American women, 8(3)477-493 Moyer, R.C., R.E. Chatfield and G.D. Kelley, 1985, The accuracy of long-term earnings forecasts in the electric utility industry, 1(3)241-252 Mulhern, F.J. and R.J. Caprara, 1994, A nearest neighbor model for forecasting market response, 10(2)191-207 Mung, M., 1988, A system wide approach to forecast tee demand for business toll services, 4(4)535-544 Murphy, A.H. and R.L. Winkler, 1991, Diagnostic verification of probability forecasts, 7(4)435-455

Naim, M.M. and D.R. Towill, 1990, An engineering approach to LSE modelling of experience curves in the electricity supply industry, 6(4)549-556 Newbold, P. and T. Bos, 1989, On exponential smoothing and the assumption of deterministic trend plus white noise data-generating models, 5(4)523-527 Newbold, P., C. Agiakloglou and J. Miller, 1994, Adventures with ARIMA software, 10(4)573-581 Newbold, P., J.K. Zumwalt and S. Kannan, 1987, Combining forecasts to improve earnings per share prediction. An examination of electric utlitities, 3(2)229-238 Noakes, D.J., A.I. McLeod and K.W. Hipel, 1985, Forecasting monthly riverflow time series, 1(2)179-190 Noakes, D.J., K.W. Hipel, A.I. McLeod, C. Jimenez and S. Yakowitz, 1988, Forecasting annual geophysical time series, 4(1)103-115 Norwood, J.L., 1985, Jobs in the 1980’s and beyond, 1(3)197-202

617

O’Connor, M., 1989, Models of human behaviour and confidence in judgment - A review, 5(2)159-169 O’Connor, M. and M. Lawrence, 1991, Time series characteristics and the widths of judgmental confidence intervals, 7(4)413-420 O’Connor, M., W. Remus and K. Griggs, 1993, Judgmental forecasting in times of change, 9(2)163-172 O’Hanlon, J., 1993, Commentary on Lawrence D Brown ‘Earning forecasting research: its implications for capital markets research’, 9(3)321-323 dller, L.-E., 1985, How far can changes in general business activity be forecasted?, 1(2)135-141 6ller, L.-E., 1985, Macroeconomic forecasting with a vector ARIMA model. A case study of the Finnish economy, 1(2)143-150 eller, L.-E., 1990, Forecasting the bsuiness sycle using survey data, 6(4)453-461 Oral, M., 1985, Forecasting industrial competitiveness. A framework, l( 1)49-62 Oral, M. and 0. Kettani, 1989, A mathematical programming model for market share prediction, 5(1)59-68 Oral, M., 0. Kettani. J.-C. Cosset and M. Daouas, 1992, An estimation model for country risk rating, 8(4)583-593 Ord, J.K., 1988. Future developments in forecasting. The time series connection, 4(3)389-401 Osborn, D.R.. 1990, A survey of seasonality in UK macroeconomic variables, 6( 3)327-336 Otero, J.M., G. Martin, F. Trujillo and A. Fernandez, 1991, Population, labor force and unemployment in Andalusia: Prospects for 1993, 7(4)483-492 Own, J.D., 1989, Labor supply over the life cycle: The long-term forecasting problem, 5(2)249-257 Pack. D.J., 1990, In defense of ARIMA modeling, 6(2)21 l218 Pack, D.J., 1990, Comments on: ‘In defense of ARIMA modeling’. by M.D. Geurts and J.P. Kelly, 6(4)501-502 Parker, P.M., 1994, Aggregate diffusion forecasting models in marketing: A critical review, 10(2)353-380 Parsons, L.J. and R.L. Schultz, 1994, Forecasting market response. 10(2)181-189 Pecchenino, R.A., 1991, Commodity prices and the CPI: Cointegration, information, and signal extraction, 7(4)493-500 Pecchenino, R.A. and R.H. Rasche, 1990, P* type models: Evaluation and forecasts, 6(3)421-440 Pfeffermann, D. and J. Allon, 1989, Multivariate exponential smoothing: Method and practice, 5( 1)83-98 Pflaumer, P., 1988. Confidence intervals for population projections based on Monte Carlo methods, 4(1)135-142 Pflaumer, P., 1992, Forecasting US population totals with the Box-Jenkins approach, 8(3)329-338 Pollack-Johnson, B., B.V. Dean, A. Reisman and A.R. Michenzi , 1990, Predicting doctorate production in the USA. Some lessons for long-range forecasters. 6( 1)39-52 Poskitt, D.S. and A.R. Tremayne, 1986, The selection and use of linear and bilinear time series models, 2(1)101-l 14 Poulos, L., A. Kvanli and R. Pavur, 1987, A comparison of the accuracy of the Box-Jenkins method with that of automated forecasting methods, 3(2)261-267

618

Author and Article Index

Praet, P. and J. Vuchelen, 1989, The contribution of consumer confidence indexes in forecasting the effects of oil prices on private consumption, 5(3)393-397 Price, D.H.R. and J.A. Sharp, 1986, A comparison of the performance of different univariate forecasting methods in a model of capacity acquisition in UK electricity supply, 2(3)333-348 Puri, A.K. and J. Van Lierop, 1988. Forecasting housing starts, 4(1)125-134 Queen, C.M., J.0. Smith and D.M. James, 1994, Bayesian forecasts in markets with overlapping structures, 10(2)209233 Ray, W.D., 1989, Rates of convergence to steady state for the linear growth version of a dynamic linear model (DLM), 5(4)537-545 Ray, B.K.. 1993. Long-range forecasting of IBM product revenues using a seasonal fractionally differenced ARMA model, 9(2)255-269 Ray, S.C., 1989. Legal control of drunken driving: A time series study of California data, 5(4)515-522 Refenes, A.N., 1994, Comments on ‘Neural networks: Forecasting breakthrough or passing fad’ by C Chatfield, lO( 1)43-46 Rice. G. and E. Mahmoud, 1990, Political risk forecasting by Canadian firms, 6(1)89-102 Robinson. J.B., 1989, Comments in response to ‘Beyond Accuracy’, by William Ascher. 5(4)485-489 Rosas, A.L. and V.M. Guerrero, 1994, Restricted forecasts using exponential smoothing techniques, 10(4)515-527 Rose. E. and T.E. Dielman, 1994, Forecasting in least absolute value regression with autocorrelated errors: A small sample study, 10(4)529-538 Rycroft, R.S., 1989, Microcomputer software of interest to forecasters in comparative review. 5(3)437-462 Rycroft, R.S.. 1993, Microcomputer software of interest to forecasters in comparative review: An update, 9(4)531575

Santiago, C.E.. 1987, Policy intervention and forecasting. An application to minimum wages, 3(2)289-298 Schnaars, S.P., 1986. A comparison of extrapolation models on yearly sales forecasts, 2(1)71-85 Schnaars, S.P.. 1990, A look at the year and decade ahead, 6( l)l-2 Schnaars, S.P. and M.T. Topol, 1987, The use of multiple scenarios in sales forecasting. An empirical test, 3(31 4)405-419 Schnader. M.H. and H.O. Stekler, 1991. Do consensus forecasts exist?. 7(2)165-170 Schroeder, L. and M. Wasylenko, 1989, Public sector forecasting in the third world, 5(3)333-345 Schultz, R.L., 1992, Fundamental aspects of forecasting in organizations, 7(4)409-411 Scott, S., 1992, An extended review of the X11-ARIMA seasonal adjustment package, 8(4)627-633 Sharp, J.A. and D.H.R. Price, 1990, Experience Curve models in the electricity supply industry, 6(4)531-540

Shkurti, W.J. and D. Winefordner, 1989, The politics of state revenue forecasting in Ohio, 1984 - 1987. A case study and research implications. 5(3)361-371 Shoesmith, G.L., 1992, Non-cointegration and causality: Implication for VAR modeling, 8(2)187-199 Simester, D.I. and R.J. Brodie, 1993. Forecasting criminal sentencing decisions, 9( 1)49-60 Simmons, L.F., 1986, M-Competition-A closer look at Naive2 and Median APE. A note, 2(4)457-460 Simmons. L.F., 1990, Time-series decomposition using the sinusoidal model, 6(4)485-495 Simon, J.L. 1985, Controversy - Forecasting the long-term trend of raw material availability, l(2)??-93 Singer, A.E. and R.J. Brodie, 1990. Forecasting competitors’ actions. An evaluation of alternative ways of analyzing business competition, 6(1)75-X8 Smith, J. and S. Yadav, 1994, Forecasting costs incurred from unit differencing fractionally integrated processes, 10(4)507-S 14 Smith, K.L.. J. Brocato and R.E. Dabbs, 1991. Professional forecast error as a function of a variable forecast horizon: A decomposition analysis. 7(2)155-163 Smith, R., 1990, The Warwick ESRC Macroeconomic Modelling Bureau: An assessment, 6(3)301-309 Smith, S.K. and T. Sincich. 1992, Evaluating the forecast accuracy and bias of alternative population projections for states, 8(3)495-SO8 Sniezek, J.A.. 1989, An examination of group process in judgmental forecasting, 5(2)171-178 Spencer. D.E., 1993, Developing a Bayesian vector autoregression forecasting model. 9(3)407-421 Spicer, K., I. Diamond and M. Ni Bhrolchain. 1992, Into the twenty-first century with British households. 8(3)529-539 Spiro, P., 1989, Improving a group forecast by removing the conservative bias in its components, 5(1)127-131 Stam, A. and K.O. Cogger, 1993, Rounding errors in autoregressive processes, 9(4)487-SO8 Stekler, H.O.. 1991, Macroeconomic forecast evaluation techniques, 7(3)375-384 Sterman, J.D.. 1988. Modeling the formation of expectations. The history of energy demand forecasts, 4(2)243259 Stickel. S.E., 1993, Accuracy improvements from a consensus of updated individual analyst earnings forecasts, 9(3)345-353 Stockman. A.C., 1987, Economic theory and exchange rate forecasts, 3( 1)3-15 Stulz, R.M.. 1987, Time-varying risk premia, imperfect information and the forward exchange rate, 3(1)171-177 Swamy , P.A. V.B., A.B. Kennickell and P. von zur Muehlen, 1990, Comparing forecasts from fixed and variable coefficient models: The case of money demand, 6(4)469-477 Sweet, A.L. and J.R. Wilson, 1988, Pitfalls in simulation based evaluation of forecast monitoring schemes. 4(4)573579 Targett, D., 1987. Comment-By referee on ‘Confidence Intervals: An empirical investigation’, 3(3/4)509-510 Tashman, L.J. and M.L. Leach, 1991, Automatic forecasting software: A survey and evaluation, 7(2)209-230

Author and Article Index Taylor, S.J., 1987, Forecasting the volatility of currency exchange rates, 3( 1)159-170 Taylor, S.J., 198X. Forecasting market prices, 4(3)421-426 Tegene, A. and F. Kuchler, 1994, Evaluating forecasting models for farmland prices, lO( 1)65-80 Terasvirta, T., 1986, Model selection using business survey data. Forecasting the output of the Finnish mental and engineering industries, 2(2)191-200 Texter, P.A. and J.K. Ord, 1989, Forecasting using automatic identification procedures: A comparative analysis, 5(2)209-215 Thomas. J.K., 1993. Comments on ‘Earnings forecasting research: its implications for capital markets research’, by L. Brown, 9(3)325-330 Thompson, P.A.. 1990. An MSE statistic for comparing forecast accuracy across series, 6(2)219-227 Thompson, P.A., 1991, Evaluation of the M-competition forecasts via log mean squared error ratio. 7(3)331-334 Thury, G., 1985, Macroeconomic forecasting in Austria. An analysis of accuracy, 1(2)111-121 Tomek, W.G., 1994. Economic forecasting in agriculture: Comment. lo(l)1433145 Towill. D.R., 1990. Forecasting learning curves, 6( 1)25-38 Tuljapurka, S., 1992, Stochastic population forecasts and their uses, 8(3)385-391 Tyebjee, T.T., 1987. Behavioral biases in new product forecasting, 3(3/4)393-404 Van Nes. F. and A. Ten Cate, 1989, Software for econometric research with a personal computer, 5(2)263-27X Vicino. A.. R. Tempo, R. Genesio and M. Milanese. 1987. Optimal error and GMDH predictors. A comparison with some statistical techniques, 3(2)313-328 Wagenaar. W.A., 1988, Forecasting disasters, 4( 1)3-4 Webb. G.K., Electronics industry model: A report on two decades of implementation, 10(4)579-591 Weisman. D.L. and D.J. Kridel, 1990, Forecasting competitive entry. 6( 1)65-74 Weitz, R.R., 1986, Nostradamus. A knowledge-based forecasting advisor, 2(3)273-283 Weller. B.R., 1989, National indicator series as quantitative predictors of small region monthly employment levels, 5(2)241-247 Westaway, P. and S. Wren-Lewis, 1990, Forecasting government policy. An example of the importance of time inconsistency, 6(3j401-405 White. E.M., R. Dattero and B. Flares, 1992, Combining vector forecasts to predict thoroughbred horse race outcomes, 8(4)595-611

619

Whitfield, K. and R.A. Wilson, 1991. Forecasting the educational participation rate of 16 year olds in England and Wales: A socio-economic approach. 7( 1)65-76 Willemain. T.R., 1989. Graphical adjustment of statistical forecasts, 5(2)179-185 Willemain, T.R., 1991, The effect of graphical adjustment on forecast accuracy, 7(2)151-154 Willemain, T.R., C.N. Smart, P.A. DeSauteis and J.H. Schockor. 1994, Forecasting intermittent demand in manufacturing: A comparative evaluation of Croston’s method, 10(4)529-538 Willems. E.J.T.A. and A. de Grip, 1993, Forecasting replacement demand by occupation and education, 9(2)1731x5 Winkler, R.L., 1989, Combining forecasts: A philosophical basis and some current issues, 5(4)60-609 Withycombe, R., 1989, Forecasting with combined seasonal indices, 5(4)547-552 Wittink, D.R.. 1987, Causal market share models in marketing. Neither forecasting nor understanding?, 3(314)445448 Wolff, C.C.P.. 1988, Models of exchange rates. 4(4)605-607 Wright, D.J., G. Capon, R. Page, J. Quiroga, A.A. Taseen and F. Tomasini, 1986, Evaluation of forecasting methods for decision support, 2(2)139-152 Wright, G. and P. Ayton. 1989, Judgmental probability forecasts for personal and impersonal events, S(l)1 17-125 Wu, L. S.-Y., J.R.M. Hosking and J.M. Doll, 1992, Business planning under uncertainty. Will we attain our goal?, 8(4)545-557 Wun, L.-M. and W.L. Pean, 1991, Assessing the statistical characteristics of the mean absolute error or forecasting, 7(3)335-337

Yar. M. and C. Chatfield, 1990, Prediction intervals for the Holt-Winters forecasting procedure, 6( 1)127-137 Yokum, Jr. J.T. and A.R. Wildt, 1987. Forecasting sales response for multiple time horizons and temporally aggregated data. A comparison of constant and stochastic coefficient models, 3(3/4)479-488 Young, P. and J.K. Ord, 1989. Model selection and estimation for technological growth curves, 5(4)501-513

Zellner. A., 1986, A tale of forecasting 1001 series. The Bayesian Knight strikes again. 2(4)491-494 Zmijewski, M.E., 1993, Comments on ‘Earnings forecasting research: its implications for capital markets research’ by L. Brown, 9(3)337-342