R&D, production structure and productivity growth: A comparison of the US, Japanese and Korean manufacturing sectors (original) (raw)
NBER WORKING PAPER SERIES R&D, PRODUCTION STRUCTURE AND PRODUCTIVITY GROWTH: A COMPARISON OF THE US, JAPANESE, AND KOREAN MANUFACTURING SECTORS M. Ishaq Nadiri Seongjun Kim Working Paper 5506 NATIONAL BUREAU OF ECONOMIC ...
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A Hybrid GA-FEEMD for Forecasting Crude Oil Prices
Indian Journal of Science and Technology, 2017
Forecasting crude oil prices is essential but usually involves a difficult process. In this paper, we proposed a hybrid Genetic Algorithm and Fast Ensemble Empirical Mode Decomposition (GA-FEEMD) for forecasting crude oil price time series data. The proposed GA-FEEMD basically involves three steps. Firstly, we decomposed the original crude oil price time series data into two Intrinsic Mode Functions (IMFs) using FEEMD algorithm. Then, we forecasted the second IMF which basically is the intrinsic trend of the crude oil prices. Then, we applied Genetic Algorithm (GA) to obtain the stopping criterion in the FEEMD process. The hybrid GA-FEEMD forecasting model was compared with ARIMA and Artificial Neural Network methods. The results showed that the proposed GA-FEEMD model improved the forecasting accuracy of the crude oil price time series data.
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