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Cites:

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Information Journal Paper

Title

EVALUATION OF FORECAST COMBINATION METHODS: A CASE STUDY FOR TEHRAN HOUSE PRICE

Pages

  119-136

Abstract

 In this study, the information content of diverse range of economic variables for Tehran HOUSE PRICE forecast has been examined and then the performance of some FORECAST COMBINATION methods for this target variable has been evaluated. The results show that using the information of various variables through FORECAST COMBINATION techniques can improve the forecast accuracy. Among these techniques, simple combination methods are more accurate than the optimal weight methods although latter has theoretical background. Also, in general, putting more emphasis on the recent forecasts (in the discounted squared error methods) and less information aggregation (in clustering methods) can improve forecast accuracy. On the other hand, shrinking weights toward the equal weights (in shrinkage methods) can improve forecast performance through reducing estimation error.

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  • Cite

    APA: Copy

    ATRIANFAR, H., BARAKCHIAN, S.M., & FATEMI ARDESTANI, S.F.. (2013). EVALUATION OF FORECAST COMBINATION METHODS: A CASE STUDY FOR TEHRAN HOUSE PRICE. JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN, 2(6), 119-136. SID. https://sid.ir/paper/226562/en

    Vancouver: Copy

    ATRIANFAR H., BARAKCHIAN S.M., FATEMI ARDESTANI S.F.. EVALUATION OF FORECAST COMBINATION METHODS: A CASE STUDY FOR TEHRAN HOUSE PRICE. JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN[Internet]. 2013;2(6):119-136. Available from: https://sid.ir/paper/226562/en

    IEEE: Copy

    H. ATRIANFAR, S.M. BARAKCHIAN, and S.F. FATEMI ARDESTANI, “EVALUATION OF FORECAST COMBINATION METHODS: A CASE STUDY FOR TEHRAN HOUSE PRICE,” JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN, vol. 2, no. 6, pp. 119–136, 2013, [Online]. Available: https://sid.ir/paper/226562/en

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